Objective. To quantify the magnitude of lifetime costs of overweight and obesity by socioeconomic status (SES) in young adulthood.
Design and Methods. Using longitudinal data of the Socioeconomic Panel (SOEP), we developed an Obesity Model using Markov modelling technique. We then conducted a systematic review to identify studies reporting cost of overweight and obesity in young adulthood followed by combining the evidence using random effects meta-analysis. SES was measured by a multi-dimensional aggregated index based on level of education, occupational class and income. We then simulated a cohort with different baseline weights at age 18 and followed to death or up to age 80 of their lifetime was carried out in order to analyze health care and societal costs.
Results. Our analysis showed that the majority of overweight and obese young adults with middle and low SES remained in the same BMI category during their adult life, resulting in significant health care and societal costs over the lifetime. Compared to individuals with a high SES during young adulthood, the expected lifetime costs for individuals with low SES during young adulthood were almost doubled (â‚¬5,824 million).
Conclusions. Our study showed that SES in young adulthood has a substantial impact on the magnitude of lifetime excess burden of overweight and obesity. This is an important result for public health policies, as our study could form a foundation for proposing to tailor interventions to the specific needs of SES-related sub-groups whilst emphasing the importance of their obesogenic environmental settings.
Different multi attribute utility (MAU) instruments produce different utilities for the same health state. This is necessarily a result of differences in the descriptive systems and differences in the utility formula which convert item responses to an index of utility. The utility formulae have two effects. First, they impose an implicit scale upon the data and, secondly, they vary utilities in accordance with item parameters and the interaction of the parameters: an amount which is referred to here as the ‘micro utility effect’. The present paper investigates the relative importance of the three components – the descriptive system, scale and micro utility effects – in each of the pairwise comparisons between five multi attribute utility instruments: viz, EQ-5D, SF-6D, HUI 3, 15D and AQoL-8D.
The five MAU instruments were administered to a sample of 8,022 patients and the public in six countries. Three sets of data were produced for each instrument. The first was obtained by applying the published utility formula to obtain ‘utilities’. The second, an unweighted ‘score’, was calculated from item responses. The third was obtained by applying a linear transformation to the scores to obtain ‘values’ which are on the same scale as the corresponding instrument utilities. For each pairwise comparison of instruments, scale effects were determined by the linear relationship between utilities, the effect of the descriptive system by a comparison of scale adjusted values and the ‘micro utility effects’ by the amount which would convert the difference in values to the difference in utilities
‘Disease expenditure’ estimates provide insight into the cost and use patterns of health services, and are used for analysing time trends and to make projections of future health expenditure. Both in Australia and internationally, methods for attributing admitted patient expenditure to diseases or conditions have tended to attribute the total cost of a hospital stay to the main diagnosis assigned as occasioning the admission to hospital; this is known as the ‘principal diagnosis’ in Australia and is recorded using the International Classification of Diseases.
While this method provides valuable broad perspectives on disease expenditure, it underplays the role of co-morbidity and of diseases or conditions that arise during a hospital stay. This particularly affects diseases such as diabetes, which often impact upon the care required but is not usually the principal diagnosis.
To overcome this limitation, the AIHW has developed a method for attributing hospital admitted patient expenditure to all cost-relevant diagnoses. The main barrier to developing this method was the lack of a clear hierarchy of diagnoses in hospital activity data. That is, there is often no clear indication in hospital activity data as to which diagnoses may have had more or less impact on the resources required to care for the patient. The AIHW has used recent work by the Independent Hospital Pricing Authority to help overcome this barrier and to develop a consistent time series spanning from 2004-05 to 2012-13. The result is a data set from which information on disease expenditure can be derived that takes into account co-morbidities and conditions onset following admission. These data also provide insight into hospital admitted patient expenditure by population characteristics such as age, sex and location and how these have changed over time.
Consumer directed care (CDC) is currently being embraced within Australia and internationally as a means to promote autonomy and choice for older people receiving community aged care services (CACSs). CDC involves giving CACS recipients (older people and informal carers of older people) control over how CACSs are administered. However, CDC models have largely developed in the absence of evidence on recipients’ views and preferences. We explored CACS recipients’ preferences for a variety of CDC attributes and identified factors that may influence these preferences, and in turn can be used to inform improved design of future CDC models.
Study participants were recipients of CACSs delivered by five Australian providers. Using a discrete choice experiment (DCE) approach, we investigated which of six CDC attributes (choice of service provider(s), budget management, saving unused/unspent funds, choice of support/care worker(s), support-worker flexibility and level of contact with service coordinator) were important to CACS recipients. The DCE data were analysed using firstly, a mixed logit regression model, which accounts for preference heterogeneity, and secondly using the generalised multinomial logit model, which accounts for preference and scale heterogeneity simultaneously and results compared.
Mean ages for 117 study participants were 80 years (87 older people) and 74 years (30 carers). In order of strength of preference, all participants preferred a CDC approach that allowed them to: save unused funds from a CACS package for future use; have support workers that were flexible in terms of changing activities on the CACS care plan and; choose the support workers that provide their day-to-day CACSs.
DCEs are practical and feasible in populations of older people with varying levels of quality of life status and help to assess preferences for elements of potential future CACSs delivery not yet available in policy.
The Fairer Private Health Insurance Incentives (FPHII) reforms were introduced in July 2012 and encompassed means-testing of the private health insurance (PHI) rebates, as well as increased rates of the Medicare levy surcharge (MLS) for higher income earners. Past studies in Australia have analysed the impacts of the earlier PHI reforms of the late 1990s and early 2000s and have relied wholly on cross-sectional data to analyse insurance choices in response to policy reforms, which may not be as empirically powerful as following the PHI decisions of the same individuals over time. No studies have, as of yet, empirically analysed the FPHII reforms.
This study examines the impacts of the 2012 FPHII reforms on the probability of holding PHI cover and on potential downgrading of policies. The study analyses longitudinal data from two waves of the Household, Income and Labour Dynamics in Australia (HILDA) survey. The inclusion of PHI variables in the 2009 and 2013 waves (just before and after the FPHII reforms) offers a unique opportunity to analyse the effects of the reforms using longitudinal analysis. HILDA also includes estimates of household PHI premium expenditure in every wave, which allows the opportunity to construct measures of PHI downgrading, an outcome variable which no past studies have looked at.
The availability of longitudinal data permits the construction of a first-difference estimator and difference-in-differences (DID) analysis is undertaken to estimate policy effects. Explanatory variables that affect PHI demand were identified from literature, matched to the HILDA dataset and included in the model. It is assumed that controlling for these variables assists the common trend assumption, required for DID analysis, to hold.
Implications of the estimated policy effects, including for potential government revenue, are discussed.
High quality primary care is associated with better management of diabetes which, in turn, should lead to better health and reduced likelihood of hospitalisation. The Medicare Enhanced Primary Care (EPC) program (now Chronic Disease Management) was introduced to improve the quality and continuity of primary care provided by GPs to Australians with chronic disease. This program has previously been shown to lead to more regular GP contact in older Australians. The aim of this study is to ascertain whether more regular GP access reduces diabetes hospitalisations.
Whole of population longitudinal study for the period 1990-2004 using linked hospital, mortality, electoral roll and Medicare data. Regularity of GP access was determined through calculating the variance in the number of days between GP visits in each year. Regular GP contact is taken to indicate planned, proactive primary care. Multilevel modelling techniques examined the relationship between regularity of GP access and diabetic hospitalisations in the population at risk of diabetes. Hospital use was characterised both in terms of the number and cost of admissions. Analyses were performed separately for different clinical cohorts of individuals considered to be at risk of diabetes hospitalisation.
Results differed between different clinical cohorts. Regular GP contact may have a protective effect against future hospitalisation, however this appears to be limited to the most severe diabetics. Results also differed in the periods prior to and following the introduction of the EPC program.
Results here did not conclusively demonstrate increased regularity as linked to reduced future hospitalisation costs. Previous work examining time to death or first hospitalisation among different conditions found stronger evidence of a beneficial effect. The concept may be more meaningful for some conditions than others, or may become more meaningful over a longer period. Future research will address these questions.
Objectives: Accreditation is designed to improve patient safety and quality of care through assessing whether hospitals have appropriate clinical governance programs in place. However, there is little evidence that accreditation programs are cost-effective in achieving these stated aims. We used threshold analysis to estimate the reduction in two safety and quality indicators (infection rates and inpatient falls) required for accreditation programs to be cost-effective.
Methods: We used published incremental costs of accreditation in Australian hospitals, with hospital acquired Staphylococcus aureus bacteraemia (SAB) rates and inpatient falls as indicators of accreditation. We used published data for length of stay (LoS) and associated costs to determine health related costs, and Quality of Adjusted Life Years (QALYs) to measure patient impact from infections. All costs were adjusted to FY2014-15 using 5% rates. A sensitivity matrix was compiled to include the reported ranges of the component results.
Results: The costs of accreditation in Australian public hospitals were AUD43.96 million in 2014-15FY based on 0.097% of recurrent hospital expenditure (AUD45.32 billion in 2014-15FY). The mid-point sensitivity analysis costs for non-fatal SAB infection costs were AUD28,547 using associated LoS of 12.1 days, daily inpatient costs of AUD2336, and 0.007 QALYs (1QALY=$40,000). Fatal infection costs were AUD477,866 (7.0 QALYs). The cost of an inpatient fall was AUD25,557 using LoS and hospital cost data. Threshold analysis indicated accreditation costs equated to a 1% fall in infection rates and 0.75% decrease in patient falls.
Conclusion: Determining whether accreditation is cost-effective in improving patient safety and quality of care is challenged by linking accreditation programs with outcomes. Our results indicate only a small reduction in two key quality and safety metrics are required for hospital accreditation to be cost-effective
Recurring socioeconomic surveys often include simple subjective wellbeing measures, on which a large body of economic literature relies when studying the determinants of human wellbeing. Despite their importance, little is known about the information contained in these measures. To better understand this concept, several economists have explored the validity of these subjective reports against observables ranging from self-reported lifestyle habits, to physician-prescribed medications, to objective physiological indicators (‘biomarkers’). This paper aims to contribute to this growing literature by assessing whether reports of poor mental health in response to stressful life events (‘shocks’) are replicable using biomarker levels, in terms of deviations that reflect stress-related physiological dysregulations. Guided by the allostatic load framework (bodily ‘wear and tear’ from chronic stress), we select four biomarkers: cortisol, a primary mediator of stress-related dysregulations; and glycosylated hemoglobin, blood pressure, and c-reactive protein, which are metabolic, cardiovascular, and inflammatory parameters, respectively, that are involved in secondary adaptations to chronic stress (or prolonged cortisol secretion).
We employ the National Child Development Study, a prospective birth cohort study that allows us to not only assess raw correlations but also match respondents on their propensity to experience shocks that are likely to affect their mental health. Propensity scores are predicted from extensive mental health history and labour market history variables, alongside pre-shock demographic characteristics. Conditional on past mental health and economic background, economic shocks predict poorer self-reported health as well as depressive and anxiety symptoms, whereas social shocks only predict the latter. Both types of shocks also predict allostatic biomarker levels in expected directions, but there is no clear correspondence between reportedly poor mental health and associated physiological dysregulations. Although caution is required when interpreting these results, they suggest that subjective reports of health do not necessarily reflect objective physiological dysregulations.
Potentially Preventable Hospitalisations (PPHs) are an indicator of primary health care availability and effectiveness. While PPHs often focus on inpatient stays they are also relevant to emergency department (ED) visits. Specific population groups are vulnerable to higher PPHs. Anecdotally, refugee and asylum seekers (RAS) are one such group. Systematic disparities in hospital contacts have implications for people’s health outcomes and system costs and thus require scrutiny.
This presentation collates empiric evidence of RAS contact with ED services. In particular, the presentation:
• Describes changes in the underlying RAS population and volume of ED contacts, including PPHs;
• Enumerates individuals experiencing these contacts and the frequency of their contact; and
• Estimates the costs associated with any excess presentations.
Countries of birth associated with humanitarian arrivals provide RAS population numbers. Individually linked public hospital records in the Adelaide metropolitan area for 2005-06 to 2010-11 are categorised using Australian Institute of Health and Welfare definitions for PPHs and GP-type presentations. The Pricing Framework for Australian Public Hospital Services 2014-15 provides cost weights. The main outcome measures used are proportions and crude rates of PPHs and costs by geographic region.
Preliminary analyses indicate a doubling of RAS contribution to total ED activity over time. This is not associated with substantive change in ED visit rates per capita. However, results do suggest visiting individuals are less likely to have one presentation and increasingly likely to have three or more ED visits annually.
Compared with the wider community, RAS within Greater Adelaide appear to have poorer utilisation of effective primary care resulting in PPHs to EDs. This indicates an emerging issue of health inequality and cost pressure. The implications of these findings for commissioning services that meet population need in effective, efficient and equitable ways is discussed.
Purpose: Economic evaluation has become an essential part of decision making. In conditions such as breast cancer (BC) with quality of life impacts, wide range of treatment options and associated adverse events, cost-utility analyses (CUA) should be preferred to cost-effectiveness analyses. However, little attention has been given to the quality of BC related CUA. A systematic review and assessment of quality of published CUA related to drug therapies and testing for BC was performed. A critical appraisal of health-state utility values (HSUV) used in the BC related CUA was also performed. Methods: The systematic literature search was conducted in PubMed, Medline/Embase and Cochrane to identify published CUA between 2000 and 2014. The quality of CUA was assessed by two independent reviewers using the Drummond et al. checklist, where a score â‰¥ 7 was synonymous with ‘high quality’. Predictors of quality were also determined. A checklist was developed to review the selection, the elicitation and the use of HSUV. Results: The review identified 140 CUA, and revealed differences in the measurement of cost and effectiveness, more specifically health-state utility values. Half of the CUA (n = 74) had a score â‰¥ 7 (range: 3-10). Overall, only one third of studies adequately valued costs and consequences credibly. Only a ‘partial’ sensitivity analysis was performed in three-quarters of the cases. A predictor of higher quality CUA included articles presenting both incremental cost-utility ratio and incremental cost effectiveness ratio (p=0.02). A critical appraisal of the HSUV used was analysed. Conclusions: Over the last 5 years there has been a tendency towards an improvement in the quality of published studies. However, adherence to recommendations as part of the ISPOR Guidelines are needed to improve the quality of published CUA including sensitivity analysis and the valuation of HSUV.
Purpose: To use qualitative methods to investigate why cancer survivors prefer the status quo, and don’t trade-off between attributes, in a discrete choice experiment (DCE) of cancer follow-up care in Ireland.
Methods: We conducted ‘think aloud’ interviews with 17 prostate and colon cancer survivors who completed a rigorously developed DCE of preferences for cancer follow-up services. The DCE contained 8 choice sets each with 8 attributes, including cost. Within the interviews we tested: a cheap talk script, forced and opt-out choice sets, and debriefing questions for comprehension, engagement, and attribute non-attendance. Our analysis used an iterative framework approach to assess decision making both within and across participants.
Results: Participants found the DCE cognitively challenging, and many completed it in a way that was inconsistent with utility maximising assumptions. We identified three respondent types within our sample. Group A compared the packages and made trade-offs, but their choices were dominated by one or two attributes and status quo bias. Group B had difficulty imagining that they might have a treatment choice, and therefore thought they should report the facts of their current follow-up. Group C could not complete the choice task, skipping choice sets or selecting multiple alternatives per choice. The cost attribute was almost universally ignored, despite using a cheap talk script. Those who found the choice task unclear (Groups B & C) also found the debriefing questions unclear.
Conclusion: Many cancer survivors found it difficult to think hypothetically about their future care. The debriefing questions could not distinguish fact based responses from preference based responses, suggesting the need to revise DCE debriefing question. This study highlights the vital importance of pre-testing DCE survey instruments prior to implementation.
There are some groups of children who tend to perform worse academically than their peers even after controlling for differences in demographic and family socioeconomic characteristics. It is possible that achievement gaps may be due, in part, to teachers over-assessing or under-assessing students’ performance based on certain identifying characteristics. This study examines whether teachers systematically assess students differently based on their weight, height, gender and ethnicity, after controlling for their school test scores, cognitive ability scores and other characteristics of the child, family, teacher and school. Using data from the Longitudinal Study of Australian Children that is linked to anonymous teacher assessments and objective national test scores (NAPLAN), our results suggest that teacher assessments do vary by the child’s ‘appearance’. For numeracy, heavier or obese children are rated less favourably by their teachers, while boys and taller children are rated more favourably, given their objective performance measures. These results cannot be explained by classroom behaviours or socio-emotional skills. The under-assessment of obese children may perpetuate the psychosocial challenges that obese children face. We further show that being under-assessed in maths is likely to have negative consequences for the child’s future academic performance.
The measurement and valuation of health forms a major component of economic evaluation in health care and is a major issue in health services research. Health related quality of life (HRQoL) is a multidimensional construct that measures the impact of health or disease on physical and psychosocial functioning. Researchers in health economics and other disciplines are increasingly recognising the importance of the measurement and valuation of HRQoL in both children and adolescents. Presently there are eight multi-attribute utility (MAU) instruments available internationally which have been developed for application in child and/or adolescent samples: the 16D, the 17D, the Health Utilities Index Mark 2 (HUI2), the HUI3, the Assessment of Quality of Life 6-Dimension (AQoL-6D), the Child Health Utility 9D (CHU9D), the European Quality of Life 5 Dimension Youth version (EQ-5D-Y), and the Adolescent Health Utility Measure (AHUM). The paper critically reviewed the development and application of the above eight MAU instruments, discussed the specific challenges of health utility measurement in children/adolescents, compared the pros and cons of the different instruments, and provided some guidance for use of the instruments and areas for further research and instrument development.
Introduction: Currently cost-effectiveness analyses of health interventions significantly underestimate the benefits of interventions, because no methodology exists for accurately incorporating the long-term society-wide productivity costs of informal care.
Aim: To describe a static microsimulation model, called Care&WorkMOD, which will be built to simulate both the current economic costs of informal caregiving in Australia and projecting future costs to 2030.
Methods: Care&WorkMOD will be used to generate snapshots of the prevalence of chronic diseases associated with people leaving the labour force to take on caring responsibilities, demographic information, and economic impacts of informal care based on Australians aged 21-64 years in 2010 every five years from 2010 to 2030. Care&WorkMOD will be built using three databases: i) the base population – i.e. individuals aged 21-64 years with information on their labour force participation, carer status and chronic conditions of self and care recipient from the Australian Bureau of Statistic’s Survey of Disability, Ageing and Caring (SDAC) 2003 and 2009; ii) output datasets from the National Centre for Social and Economic Modelling (NATSEM’s) Australian Population and Policy Simulation Model (APPSIM), which consists of financial information on Australians aged 21-64 years for the years of interest; and iii) data on trends in disease prevalence. These are discussed in the paper.
Conclusions: Microsimulation modelling is a new approach to projecting the costs of informal care for Australia up to 2030; these include changes in labour force participation of carers, personal income, welfare payments, personal savings, personal wealth and superannuation, taxes and national impacts such as reductions in GD related to reduced labour force participation due to caring responsibilities.
Background: Child behaviour problems are associated with poor maternal mental health. However, little is known about how maternal health related quality of life (HRQoL) may be affected by child behaviour problems. The aim of the study are: (1) to examine the relationship between mother’s HRQoL and child behavior problems at age 2 years and (2) to investigate whether the relationship between maternal HRQoL and child behaviour problems is independent of maternal mental health.
Design: Cross-sectional survey nested within a population-level, cluster randomised trial (2010–2014) which aims to prevent early child behaviour problems.
Participants: 1160 mothers of eight month old children attending the universal Maternal and Child Health system, in nine Local Government Areas in the state of Victoria, Australia.
Measures: HRQoL was measured using the Assessment of Quality of Life (AQoL6D) and child behaviour was measured using the Child Behavior Checklist (CBCL/1.5-5 years). Maternal mental health was measured using the Depression Anxiety Stress Scale (DASS).
Results: Health related quality of life was lower for mothers with children that had borderline/clinical problems compared to those with children without problems (mean difference -0.14, 95% CI: -0.16 to -0.12 to, p
Background: Indigenous Australians experience a disproportionally high burden of diabetes. The “Getting Better at Chronic Care Project” provided intensive chronic condition management for Indigenous adults with poorly controlled T2DM by IHWs in remote Queensland. This paper reports on the implementation costs and cost-effectiveness of the intervention.
Method: The design was a cluster-randomized-controlled-trial with intervention (N=100) and usual care (N=113) groups. Participants were Indigenous adults with poorly controlled T2DM (HbA1c ≥ 8.5%) plus at least one of: chronic obstructive pulmonary disease, coronary heart disease, chronic kidney disease or hypertension. The primary outcome was differential change in HbA1c at 18 months. There were a number secondary outcomes including hospitalisations and use of Medicare services (obtained from administrative data collections) and quality of life measured by the AQoL 4D. Costs of the intervention were derived from project records and covered the costs of the IHWs delivering the service, their training and clinical and operational support from the project team.
Results: The total cost of the project was $2.089 million of which $1.010 million was attributed to delivery of the intervention (the balance being for evaluation related costs). The cost of service delivery was equivalent to about $10,100/per person or an average annual cost of nearly $6,750/person. A preliminary analyses of the outcomes at 18 months, found a non-significantly greater reduction in HbA1c than the control of 0.53% (0.84% vs. 0.31%, p-value=0.12). In terms of hospitalisation rate and quality of life, there were no statistically significantly differential changes in either the intervention and control groups. The intervention thus costs $10,000/person, for a mean 0.53% additional reduction in HbA1c level.
Conclusion: The intervention provided community-based extra support for poorly controlled T2D patients. The impact on HbA1c levels was modest at best and disappointing given the high level of funding. The reasons for the poor result may include the complexity of the patient population; reflected in very high HbA1c levels (mean 10.7% at base line). In addition, the level of implementation was compromised by challenges of recruitment, retention and absenteeism of IHWs. Future interventions may need to look at intervening earlier in disease stage and explore mechanisms to better retain IHWs.
Misclassification errors in a dependent variable introduce a downward bias to covariate effects in a binary choice model. Misreporting of smoking behaviours by adolescents has been widely documented; however, the consequences of misclassification errors in empirical studies of adolescent smoking participation have received little attention. This study uses the Health Survey for England (HSE) to investigate the extent and implications of misclassification errors in self-reported smoking behaviours of adolescents aged 11-15 years. Possible solutions to correcting misclassification errors are explored using the modified maximum likelihood estimator (MLE) approach. The HSE contains both a self-reported smoking component and an objective measure of smoking obtained from saliva cotinine assays. Saliva cotinine concentration ≥ 12ng/ml is considered the ‘true’ indicator of adolescent smoking participation against which self-reported smoking participation is compared. The results suggest that smoking is misreported in this age group, resulting in a downwards bias of coefficients and marginal effects in the self-reported smoking participation model. The modified MLE performs moderately well in correcting misclassification when the misclassification probabilities are treated as fixed known parameters, but not as expected when misclassification probabilities are treated as unknown estimable parameters.
While the management of individual diseases is something that healthcare systems have been designed to deal with, an increase in the occurrence of co-existing chronic disease has become a challenge for the management of healthcare in Australia and abroad. A related concern is that an inability to efficiently treat cases of multimorbidity has led to increased costs of healthcare provision. In this study, we used the survey data from the 45 and Up Study, which covers more than 267,000 people aged 45 and up in New South Wales (NSW), representing around 10% of the total NSW population in the same age group. The survey data is linked to several administrative health datasets, including the data from the Medical Benefits Schedule (MBS), the Pharmaceutical Benefits Schedule (PBS), the NSW Admitted Patient Data Collection (APDC) and the Emergency Department Data Collection (EDDC), that provide rich detail on an individual’s utilisation of primary care, hospitalisations and pharmaceutical prescriptions. With the utilisation of the linked dataset, we investigate whether there are specific combinations of morbidities that influence healthcare costs. Using classification and regression tree (CART) analysis, this paper identifies the key interactions of morbidities that drive primary care, hospital, pharmaceutical and total healthcare costs. The performance of models using morbidity-based interaction variables is also assessed using a range of distributional regression approaches.
Background: The probabilities of progression of disability due to multiple sclerosis (MS) have not previously been estimated in Australia.
Objectives: To estimate the probabilities of MS progression between different levels of disease severities in Australian people with MS.
Methods: Using data from Auslong and TasMSL MS epidemiological databases, annual transition probabilities were estimated between classes of disease severity, classified as mild (Expanded Disability Status Scale[EDSS] levels 0-3.5), moderate (EDSS levels 4-6) and severe (EDSS levels 6.5-9.5). Hazard ratios were estimated for sex, age (>=50 years, and =10 years, and =50 years, and longer disease duration (>=10 years) had higher risks of progression to more severe disability states.
Conclusions: For the first time, we have estimated the transition probabilities of progression in Australian people with MS. The transition probabilities we have estimated will serve as an important ingredient to future health economic evaluations of MS in Australia. Future studies in the field are recommended to consider MS progression consequences of other important covariates, particularly relapse rates, disease modifying therapies, genetic differences, and environmental exposures.
The relationship between individual language difficulties and academic outcomes is well established and current research confirms that children who are language impaired achieve lower academic grades, complete fewer years of formal education and are more likely to be in less skilled employment. While there is also a considerable evidence base that shows that the quality of schools matter with respect to academic outcomes, little is known as to whether academically higher quality schools contribute to educational outcomes for this sub-group of children. This aim of this paper is to explore whether students with language difficulties benefit to a greater or lesser extent from attending high-quality academic schools when compared with their language typical peers.
This paper uses data from 4725 students in the Kindergarten (K) cohort of the Longitudinal Study of Australian Children (LSAC) linked to the National Assessment Program- Literacy and Numeracy (NAPLAN) and the Australian Curriculum, Assessment and Reporting Authority (ACARA) , which provides a rich set of individual and school level measures. The LSAC tracks a nationally representative sample of 4-5 years olds over a period of 10 years to capture their transitions from pre-school to formal schooling and high school. The analysis uses multilevel linear modelling and the data was analysed in two levels: student and school. We model attrition and deal with possible selection bias using propensity scores.
The results indicate that academic school quality has a considerable differential effect on school academic achievement for children with language difficulties. Although individual’s characteristics are the main drivers of success, school attributes account for approximately 15% of the variation in literacy and numeracy scores. Notably the impact is greatest for those students with the most severe language difficulties and those students who are diagnosed with language difficulties after 8years old.
As discrete choice experiments (DCEs) are increasingly used in health research, so too has scrutiny increased of the underlying assumptions upon which the theory is based. Random utility theory assumes that consumers consider all relevant information when making purchasing decisions and that they maximise their utility gain in a ‘rational’ and ‘consistent’ way. Whilst there is increasing evidence that this assumption does not hold in many situations, especially for complex decisions relating to health and health care, little is known about the extent of any deviation and some of the key drivers. Using eye-tracking technology, which captures the number of times and the duration that a participant looks at any part of a computer screen during the completion of a DCE survey, we can analyse what has become known in the DCE literature as ‘attribute non-attendance’ (ANA). ANA can be directly measured in this analysis when no fixations have been recorded for a particular attribute and thus, the information contained within that attribute cannot have been considered. This approach adds to the previous literature which has relied on deduction and inference to measure ANA in DCEs. Using this approach we analyse the effect of choice set complexity and respondent characteristics on the likelihood of ANA using fixed and random effects models to account for repeated choice set completion. We find that complexity is strongly related to ANA as well as some evidence of heterogeneity in decision making processes. We conclude that this approach provides direct evidence that increased complexity in DCE surveys are related to ANA.
Objective: This study aimed to investigate the preferences of an “at risk” population for the characteristics of scanning modalities used in diagnosing focal liver lesions.
Methods: A discrete choice experiment was administered to 504 adults in the UK, recruited via an online survey panel. Age and gender reflected the demographics of patients diagnosed with cirrhosis and liver cancer. Respondents made repeated choices between two hypothetical scans, described according to waiting time for scan and results, procedure type, the chance of minor side effects, and whether further scanning procedures were likely to be required. Choice data were analysed using mixed logit models.
Results: Respondents preferred a shorter waiting time for the scan and results, the procedure to be undertaken with a handheld scanner on a couch instead of within a body scanner, no side effects, and no follow up scans (p≤0.01). The average respondent was willing to wait almost an additional 2 weeks to have the scan if it resulted in avoiding side effects, approximately 1.5 weeks to avoid further procedures or to be likely to be told the results immediately, and almost 1 week to have the scan performed on a couch with a handheld scanner. Substantial preference heterogeneity was observed around desirable imaging characteristics.
Conclusions: On average, the general population sub group most likely to require imaging to characterise focal liver lesions in the UK would prefer contrast enhanced ultrasound over magnetic resonance imaging or computed tomography. Insights into the consumer perspective around the differential characteristics of imaging modalities have the potential to be used to help guide recommendations around the use of these technologies.
Financial support: Financial support for this study was provided to York Health Economics Consortium, UK via a contract with the National Institute for Health and Care Excellence (NICE).
The increasing burden of cardiovascular diseases (CVDs) and the search for ways and means to ameliorate their impact have long generated interest in identifying the factors associated with the disease. Traditionally, two approaches dominated the scene: those based on follow up studies (FuS) in a controlled (often clinical) setting and those that used cross-sectional surveys (CSS). However, both approaches have their own shortcomings. FuS are expensive; they focus on a single health condition and have limited generalizability beyond the study population. On the other hand, CSS, while being less costly and have often larger samples, they lack information on disease progression and timing of explanatory variables. In this paper, we exploit the panel component from the Australian Household, Income and Labour Dynamics survey (HILDA) and re-examine the effects of explanatory variables on CVD. The data set, which has a large sample, and contains information on timing of events that mimics a large-scale clinical experiment and on multiple health conditions allow us to control for co-morbidity, endogeneity and selection biases. The study confirms many existing findings on risk factors such as smoking and physical exercises, but also suggests the importance of SES may have been over-estimated in cross-sectional models.
Evidence suggests that the value members of the public place on saving the lives of patients with a disability or chronic illness differs depending on whether the patients were previously disabled or ill (the pre-existing scenario) or will be left so after treatment (the onset scenario). This is so even when the future QALYs (quality-adjusted life years) are identical. Further, the value people place on saving the lives of patients in both cases can differ significantly depending on the order in which subjects are presented with the scenarios. For example, the value subjects place on saving the life of a healthy patient who will left paraplegic after treatment may differ ten-fold depending on whether they have previously been asked about life-saving treatments for pre-existing paraplegics. If social preferences are to be taken into account in economic evaluations this presents a problem. Which set of preferences should count? Using data obtained from a series of in-depth, small-group discussions with members of the public we explain how we eliminated the order effect, report the distributional preferences of participants in its absence, and present the reasons for participant’s choices.
Health care costs and quality of care are two major concerns of all governments. In Australia, hospital care accounts for almost 40% of total health care expenditure, around 3% of GDP, and expenditure on public hospitals grows at 5-6% per year in real terms. Although expenditure is growing, hospital performance does not appear to keep pace. There are continuing concerns about the performance of public hospitals across Australia. These concerns range from quality and safety, waiting times, financial deficits, cost-shifting, workforce shortages, the role of technology, and the interaction with the private hospital and aged care sectors. These issues can have significant impacts on the quality of care and health outcomes of patients. This session consists of four presentations on using hospital administrative data to shed light on hospital performance such as quality of care and hospital efficiency, and the key drivers that are correlated with hospital performance.
Together these presentations address a number of important issues pertaining to hospital performance; they also highlight how hospital administrative data could be used to address these and other related issues.
Presenter Ying Chen, Victorian Department of Health
This presentation provides an overview of linked hospital administrative datasets available for researchers from the Victorian Department of Health. It highlights the enhanced value that data linkage adds to research using hospital administrative data, leading to greater possibilities in answering a broader range of research questions. The advantages and limitations of the Victorian linked hospital administrative data are also discussed and the current barriers and challenges around data linkages are explored.
The Victorian Data Linkages Unit (VDL) was established in 2009 with combined funding from the Australian and Victorian Governments as the Victorian node in the national Population Health Research Network (PHRN), to build a data linkage infrastructure capable of securely managing health information for health and medical research.
The Victorian Data Linkage Map contains enduring links between key hospital datasets and mortality datasets. In addition, VDL has responded to the needs of the researchers as well as government programs in undertaking the project specific linkages linking key hospital datasets to other health datasets. VDL has developed sophisticated data linkage methods and strategies by using privacy preserving methods to link together records pertaining to the same individual within or across different administrative datasets. De-identification and encryption rules are applied to remove identifying information about patients, service providers and service dates. The hospital datasets are enriched with socio-economic-geospatial indicators at small area level.
The benefits of hospital administrative data linkage are recognised as a resource for public good. However, there are also constraints that limit linkage of hospital administrative data to other datasets for research purposes. The barriers include current legislative framework governing collection and disclosure of information, insufficient common identifiers across data collections, quality of data collections, and different perspectives of data custodians versus researchers.
Presenter Choon Cheng, Victorian Department of Health
This paper measures risk-adjusted mortality and readmission rates of Victorian hospitals using hospital admission data for an 11-year period from 2001/02 to 2011/12. For the purpose of risk adjustment, a standard logistic model is developed to take into account differences in patient characteristics including age, gender, principal diagnosis, admission type, comorbidity and care type. In total more than 23 million admission episodes occurring in 310 hospitals are used in the analysis, which provides an overview of the quality of hospital care in Victoria. Preliminary findings suggest that quality of care has been improving over time, but small public hospitals consistently lag behind other hospital types. Further analyses suggest that there exist considerable degrees of heterogeneity among small public hospitals. Considerable degrees of heterogeneity also exist among private hospitals, although private hospitals generally perform better than public hospitals in risk adjusted mortality and readmissions.
Presenter Jongsay Yong, University of Melbourne
Abstract This paper investigates the productivity of Victorian public hospitals using hospital admission data for the five-year period 2007/08 to 2011/12. We construct measures of total factor productivity using aggregate output and input indices. Aggregate output index is constructed by enumerating all in-patient activities of a hospital and are aggregated using diagnostic related group costs as weights. Aggregate input is constructed by adding total dollar costs of labour, capital, and materials. Total factor productivity (TFP) is computed as the ratio of aggregate output index to aggregate input index. Preliminary results suggest that, without taking into account changes in quality, hospital TFP did not register any material changes during the five-year period. Closer inspection further reveals that tertiary hospitals generally perform best in productivity among all hospitals, and small hospitals tend to exhibit greater degrees of variations in TFP growth than other hospitals.
Presenter Terence Cheng, University of Melbourne
In this talk Terence Cheng will present the latest developments from a research project where we investigate the presence of cream-skimming behaviour using the novel approach of analysing hospital transfers. Using Victorian hospital administrative data we examine if patients transferred between public and private hospitals differ systematically in the severity and complexity of their medical conditions. We find that patients with higher disease severity are more likely to be transferred from private to public hospitals whereas the opposite is true for patients transferred to private hospitals. We also find that patients transferred from private to public hospitals stayed longer and cost more than private-to-private transfer patients, after controlling for patients’ observed health conditions and personal characteristics. Our findings are consistent with cream skimming behaviour by private hospitals.
Cost-effectiveness analyses are primarily used to provide evidence for policy and funding decisions before health interventions are implemented. Retrospective economic evaluations have received less attention in the literature. By making use of data collected post-implementation, retrospective cost-effectiveness analyses of vaccine programs may substantially reduce uncertainty and provide a better assessment of the value for money achieved. As a case study, we conducted a retrospective economic evaluation to assess the cost-effectiveness of the nationally funded 7-valent pneumococcal conjugate vaccine (PCV7) program in Australia. This is the first study specifically designed to evaluate the cost-effectiveness of an existing vaccine program in Australia. We designed a static, deterministic model that describes transitions between health states for a population over time. We investigated health-related outcomes on which PCV7 may have had an impact, primarily invasive and non-invasive pneumococcal disease. We applied a healthcare perspective and included costs for the vaccination program as well as healthcare utilisation. Quality-of-life utility weight estimates were attached to the different health states in the model. The primary outcome calculated was an incremental cost per Quality Adjusted Life Year (QALY) gained. We conducted one-way and probabilistic sensitivity analysis, and examined a number of different scenarios. In the scenario where observed declines in all health outcomes were attributed to PCV7, the ICER was below A$50,000 per QALY gained. However, in scenarios where only declines with more robust evidence for attribution to the program were included, the cost-effectiveness was less clear-cut. We discuss how our results compare to previous pre-implementation cost-effectiveness studies on PCV7 in Australia, and how methodological choices impact on cost-effectiveness results. Retrospective cost-effectiveness analysis can provide important insight in our understanding of the value for money achieved by vaccination efforts.
The Solomon Islands Ministry of Health and Medical Services (MHMS) delivers health care to over 500,000 people in predominantly rural areas across 10 provinces, including numerous remote islands. It has a budget of SBD 552 million (AUD 81 million), which is sourced from annual appropriations from national revenue and from development partners as part of the Health Sector Support Program (HSSP).
The MHMS is committed to providing free universal access to health services; and the current National Health Act restricts the collection of fees at health facilities to hospitals. A recent Patient Exit Survey undertaken in Solomon Islands found that despite this explicit restriction patient contributions are common across all facility levels for consultations and medical record books, excluding the National Referral Hospital in Honiara.
The accompanying Health Facilities Costing Survey found that revenue collected from patient contributions are the only sources of revenue managed by facilities. Health workers reported that these contributions are used to cover gaps in the salaries and supplies provided by the national and provincial health administrations.
A detailed analysis of who makes patient contributions suggests that the poor and women pay such fees more often, but they do not appear to be a barrier to access and are waived for those who cannot afford to pay. Evidence from a recent study in PNG (Wiltshire and Mako 2014) shows a similar context. While eradicating such fees is consistent with the MHMS policy and promotes the WHOs universal health care policy, it presents administrative challenges for the MHMS and has additional cost implications in getting cash to health facilities, and supporting them to manage it appropriately.
This paper will explore the options available to the MHMS and other low and middle income countries who wish to abolish user fees.
Primary care in Australia: towards better quality and value for money
Chair: Professor Denzil Fiebig
Primary care has been the subject of substantial policy changes in recent times. Proposed government reforms have focused on changes to the funding of GP services as well as on organsisational aspects, including the establishment of regionally-based primary health networks (PHN). This organised session will examine some of the key policy challenges, covering issues relating to funding, efficiency, quality and equity in the field of primary care. Four papers from leading researchers in the fields of health economics and policy will be presented in this session:
, Dr Ian McRae*, Australian National University
The Australian Government’s proposal for a $7 GP co-payment, if implemented, will impact on patients’ out-of-pocket costs, their attendance at surgeries and on GP earnings. We explore both estimated supply and demand responses for the overall GP market and possible responses in different market segments.
, Associate Professor Rachael Moorin*, Curtin University
The rapidly ageing population, high prevalence of chronic illnesses, and ever increasing expectations in service delivery are placing the Australian health care system under increasing pressure. Approaches to reduce this unsustainable demand include policies to improve the regularity and quality of healthcare provided by GPs. This presentation will showcase methodology developed to evaluate service regularity as distinct from frequency of GP visits using longitudinal whole-of-population linked individual level Medicare and hospitalisation data.
Ms Chunzhou Mu*, Professor Jane Hall CHERE, University of Technology, Sydney
Geographic variation in GP use is a persistent finding across Australia. Some of this variation may be warranted, reflecting differences in, for example, population health status. However, variation may also be indicative of health care inefficiency and inequity. This paper examines the amount of geographic variation in GP use, and the factors that influence that variation. Results suggest that health care needs, age, obesity, lower socio-economic status are significant drivers of health care use. The availability of more GPs is also associated with higher GP use but the supply of more specialists reduces the use of GPs. A better understanding of the sources of the geographic variation can inform policy interventions to prioritise resource allocation and improve health care delivery efficiency.
Barbara Broadway, Guyonne Kalb, Anthony Scott*, Jinhu Li, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne
The aim of this paper is to examine the effects of changes in financial incentives on whether GPs provide after hours care, using data from the first wave of the MABEL survey. A discrete choice labour supply model is used where decisions on total hours worked are combined with decisions on whether or not to provide after hours care. Sixty percent of men and 41% of women GPs do some after hours work. Preliminary results show that if earnings from working after hours increase by 1%, then the probability of undertaking after hours work increases by around 0.1%. Women with children are less likely to increase their after hours workload in response to a wage increase, compared to women with no children and men. Overall, the results suggest that GPs are not very responsive to increases in earnings for after hours work. Family factors and whether the GP is self-employed seem to play a larger role.
Following the presentations, there will be an opportunity for discussion among participants and the authors.
* presenting author
The economic crisis that started in 2008 has had a profound impact on the lives of citizens. Millions of people lost their job, saw their life-savings disappear and experienced prolonged financial hardship. The economic crisis has also led a number of OECD governments to introduce austerity measures to reduce public deficits. The combined effects of economic crisis, austerity and reforms have led many OECD health systems into unchartered territory.
This paper looks at the impact of economic crisis on health and health care. It summarises findings from the published literature on the effects of economic crisis that took place over recent decades. This paper also analyses the empirical relationship between unemployment and health care use, quality and health outcomes, using data from OECD Health Statistics. In doing so, it investigates whether the effects of unemployment on health outcomes have been extenuated by austerity measures.
Results show that economic downturns are associated with adverse outcomes for some, but certainly not all, health indicators. During times of economic crises, mental health deteriorates and the prevalence of communicable diseases appears to rise, but at the same time there are fewer deaths from transport accidents. There is less consistent evidence on the relationship between economic conditions and overall health outcomes such as mortality and health care quality but there is evidence that higher rates of unemployment are strongly linked to lower health care use. Austerity measures appear to have led to a decline in hospital admissions but not to reductions in pharmaceutical consumption. The short-term effects examined in this paper suggest that austerity measures have had mixed success in protecting patients from reduced health care access, but there remains an important need to actively monitor the wider long-term health impact of the economic crisis.
Kompal Sinha, Centre for Health Economics ,Monash University
Anthony Harris ,Centre for Health Economics, Monash University
The aim of paper is to assess the level of income needed in retirement to maintain a satisfactory life and slow the rate of health decline. This is an alternative to the usual assessment of the adequacy of income in retirement based on pre-retirement income replacement. Using the HILDA data from Australia, this paper estimates the short and long term health effects of retirement accounting for the simultaneity of health and retirement in an instrumental variable panel data econometric model. We initially assume that human, and financial capital is exogenous at retirement. The results suggest that retirement has a positive effect on health and wellbeing initially but in the longer term has a negative effect on health mitigated by pension income and wealth. Health in the bottom income quintile wears out a good deal faster after retirement than does health in the top quintile, and in the bottom quintile men’s health deteriorates more rapidly than women’s health.
The aim of article provide evidence on the role of age and proximity to death as drivers of health care expenditure (HCE). For our analysis a unique dataset on 14-types of HCE by age, sex and distinction for decedents and survivors has been delivered by Polish National Health Fund. We decompose the differences in health expenditure of 1-year cohort groups to quantify the contribution of survivors, decedents, mortality-rate and population changes. Then we compare the effects of assuming age-dependence and proximity-to-death-dependence for total health care expenditure. We find out that HCE depend on the proximity to death, but age-dependence cannot be left out. We also quantify the effects of both models for ageing to show that their implications hugely contradict. Using exponential model with parameter transition of cost increse before death we show that the health expenditure start to rise at about 10 years before death and that the implications of time-to-death and age-dependent model are considerable for the effects of ageing on health care expenditure and public finance.
IS THE PRIVATE HEALTH SECTOR AN ESSENTIAL ACTOR IN ACHIEVING UNIVERSAL HEALTH COVERAGE? A review of the Health system in Nigeria, a developing country
Global efforts in health over the last decade have been towards achieving universal coverage for all populations. Public sector involvement in the achievement of this cannot be over emphasized but the role of the Private sector has rarely been well understood. Although most private health care enterprises operate for profit, many non-profit organisations also exist, avowing religious and charitable motivations. In some LMICs, private sector health care largely serves better-off people; in others, many of the poor rely on private provision. This economic and social patterning of private sector organisation is partly shaped by, and interacts with, the organisation and behaviour of the public sector in health care. The private sector can therefore only be understood and effectively regulated by understanding the mixed health systems of which it forms part. Both Private and Public sector can invest positively in Health. Private-sector health provision with public financing is commonly thought to offer the best combination to ensure efficient, high-quality, low-cost primary health care. Several health system factors affect the functioning of the private sector as a whole: the structure and performance of the public health-care sector, the structure of the private sector, the characteristics of patient demand for health care, and regulation of the private health-care sector. There are challenges created by Private sector listed above and also approaches suggested to address them. Also listed are methods by which these challenges can be solved and the facility level where each of these readily applies. All these are covered in this paper.
Increasing attention has been paid in recent years to the problem of “too much medicineâ€, a shorthand term which describes situations in which patients receive unnecessary treatments which will provide little or no benefit to them, yet will potentially expose them to the accompanying risks of harm. Despite this phenomenon clearly constituting an inefficient utilization of health care resources, it has received limited attention from health economists to date.
This paper considers “too much medicineâ€ as a form of overconsumption, drawing on concepts from the ecological economics and sustainable consumption literatures. It then reviews research from health economics, behavioural economics and ecological economics, to identify possible explanations for and drivers of overconsumption in health maintenance. This seems to be the first time evidence from these studies has been merged, offering a novel contribution to the theatre of operations.
Overconsumption of health care represents a form of misconsumption, which occurs when individuals consume in a way that undermines their own well-being. Extensive health economics research since the 1960s has provided clear evidence that physicians do not act as perfect agents for patients, and the provision of unnecessary services under various circumstances is one manifestation of this imperfection. The behavioural economics evidence provides rich insights on why the actual practice may depart from an “evidence-based” approach (the presumed basis for any perfect agency relationship). Moreover, behavioural findings on health professionals’ strategies for dealing with uncertainty and to avoid potential regret provide powerful explanations of why overuse and overtreatment may frequently appear to be the “rational” choice in clinical decision-making, even when they cause harm to patients. Meanwhile, the ecological economics literature suggests that status or positional competition can, via the principal-agent relationship in health care, provide a further force driving overconsumption.
Objective: To estimate the impact of per capita primary health care (PHC) resourcing on the risk of diabetes-related hospitalisation over a 5 year period (2000-2005) in a cohort of Aboriginal and Torres Strait Islander Australian adults with type 2 diabetes (T2DM).
Design: Retrospective cohort study using linked community survey data, hospitalisation and death records.
Setting: Twenty one remote communities in far north Queensland, Australia.
Participants: Adults with existing or diagnosed with T2DM during a health check offered between1999-2000 (n=366).
Main outcome measure: Diabetes-related hospitalisations
Results: There was an inverse relationship between per capita PHC investment and the risk of diabetes-related hospitalisation over a 5 year period. Each AUD $1,000 per capita PHC spending was associated with a 24% reduction in hospitalisation risk (adjusted RR = 0.76, 0.60 to 0.95). This effect was strongest for extra spending on Aboriginal and Torres Strait Islander health workers (adjusted RR=0.21, 0.06 to 0.80) and medical officers (adjusted RR = 0.22, 0.05 to 0.95), but for extra employment (i.e. FTE) of medical officers (adjusted RR = 0.10, 0.01 to 1.01).
Conclusion: Investing in PHC in an under-served remote high risk population with T2DM prevents diabetes-related hospitalisations. Aboriginal and Torres Strait Islander health workers contribute significantly, as members of a multi-disciplinary PHC team, to reducing the risk of diabetes-related hospitalisations of people living in remote areas with T2DM.
Aims: To assess trends in numbers, incidence rates and short-term outcomes of hip fracture (HF) among the elderly in the Australian Capital Territory (ACT) over a 15-year period (2000-2014) and project HF numbers and rates up to 2050.
Methods: Data on all HF patients aged 60 years and over in ACT were analysed in 5-year periods (2000-2004, 2005-2009, 2010-2014). Age- and gender-specific rates were calculated from ACT population data (Australian Bureau of Statistics, Series B). The projected rates and numbers of HFs were estimated by two models: binomial regression and Poisson regression.
Results: The annual number of HFs increased from 239+/-25 in 2000-2004 to 260+/-40 (8.7%) in 2005-2009 and 317+/-27 (+32.6%) in 2010-2014, with the proportion of aged 85 and over 40.0%, 44.3% and 49.4%, respectively, while the average incidence rates (cases/100,000 population/year) decreased from 597 to 534 (-10.6 %) and 531 (-11.1 %), and the female: male ratio was 2.3, 2.1 and 2.4, respectively. Both the length of hospital stay (11.3+/-14.9, 11.6+/-18.74 and 12.5+/-15.4 days) and in-hospital mortality (6.61%, 7.05% and 7.43%) showed a mild non-significant increase. The total number of HFs in ACT will reach 515 (+115.5%) in 2030 and 706 (+195.4%) in 2050 (binomial model), or 473 (+ 97.9%) and 594 (+148.5%), respectively, (Poisson regression), whereas the HF rates are expected to decrease to 512.3 (-14.2%), and 477.5 (-20. 0%), or 470.5 (-21.2%) and 401.7 (-32.7%), respectively, with the female: male ratio of 1.81 and 1.85, or 1.85 and 1.90, respectively. In Australia the number of HFs may reach 36,700 in 2030 and 47,800 in 2050 (binomial model), or 33,700 and 40,200, respectively (Poisson regression).
Conclusions: Despite declining HF incidence rates, the absolute number of HFs among the elderly (about 50% aged ï‚³85 years) continue to increase and may almost double by 2030 and triple by 2050.
One in three children under five in Indonesia is stunted. Stunting negatively affects future productivity, as stunted children are at a higher risk of experiencing chronic disease, impaired cognitive development and reductions in academic achievement. The a priori economic argument for developing programs to address stunting would thus appear strong. Increasingly though, to justify investment in such health initiatives, governments and funding agencies require a calculated estimate of a program’s expected monetary return. Indonesia’s Community-based Nutrition Program (CBNP) is a large-scale, complex, nutrition project with a budget in excess of USD150m. Its activities include the provision of conditional cash transfers to villages (with the promise of larger future grants if health indicators improve); training health providers; conducting sanitation activities; providing micronutrients to pregnant women and young children; results-based financial incentives to health providers; and a communications outreach campaign. We were tasked with calculating a single economic rate of return (ERR) for the entire project, ERRs for specific project components, and the returns flowing to the poor and women. Budget costs were compared to estimated benefits – comprising projected future increases in individuals’ incomes associated with the improved productivity resulting from reductions in low birth weight, stunting and malnutrition, and savings to the health sector from diarrhoea and chronic disease averted. Benefits flowing from the economic stimulus associated with the cash grants were also estimated. We highlight the challenges of undertaking a modelled economic evaluation in a lower-middle income country – including identifying the (often scarce) relevant evidence of the effects of the various interventions and particularly the monetary benefits; defining beneficiary groups; the difficulty of modelling benefits for separate project arms when there are likely to be interactions between the program’s different components; and the attempts to model uncertainty and sensitivity in the results.
Continuity of care is seen as a core component of high quality primary care. We seek to understand whether continuity of care with a GP and a practice is changing for Australian general practice patients.
We use data from the Australian Longitudinal Study on Women’s Health (ALSWH)- a large (n=50,000+) longitudinal study of 4 cohorts of Australian women since 1996, linked to administrative data. Participants have been surveyed ~3 yearly about health service usage and health status since 1996. We use data for the young cohort (aged 18- 23 in 1996) and middle cohort (aged 45-50 in 1996). Patient self-reported continuity of care (at both practice and GP level) is the dependent variable in our model. Pooled OLS and panel data techniques have been conducted analysing the relationship between continuity of care, and patient related explanatory variables- including age, rurality, health status, and health service usage.
In the young cohort, the percentage of women seeking all their care from one GP has decreased by 28% through the 15 years of survey data, while women seeking all their care from one practice has increased by 21.5%. For the middle cohort, the percentage of women reporting attendance with one GP has increased by 2% through the survey waves, while those attending one practice has increased by 11.6%. Regression analysis shows multiple patient related variables associated with increased likelihood of seeking continuity of care at both a provider and practice level.
Conclusion. Analysis suggests an increasing trend for Australian women to seek continuity of care from a general practice. This is despite no formal system of practice registration. Multiple differences exist between patients seeking continuity with a practice, and those seeking continuity with a GP.
Background and Objectives
High maternity-related health care spending is often cited as an important barrier in utilizing quality health care during pregnancy and childbirth. This study has two objectives: (i) to measure the levels of expenditure on total maternity care in disaggregated components such as ANCs, PNCs, and Natal care expenditure; (ii) to quantify the extent of catastrophic maternity expenditure (CME) incurred by households and identify the factors responsible for it.
Methods and Findings
Data from the 71st round of the National Sample Survey (2014) was used to estimate maternity expenditure and its predictors. CME was measured as a share of consumption expenditure by different cut-offs. The two-part model was used to identify the factors associated with maternity spending and CME. The findings show that household spending on maternity care (US$ 149 in constant price) is much higher than previous estimates (US$ 50 in constant price). A significant proportion of households in India (51%) are incurring CME. Along with economic and educational status, type of health care and place of residence emerged as significant factors in explaining CME.
Findings from this study assume importance in the context of an emerging demand for higher maternity entitlements and government speding on public health care in India. To reduce CME, India needs to improve the availability and accessibility of better-quality public health services and increase maternity entitlements in line with maternity expenditure identified in this study.
The development of new therapies in oncology has the potential to displace older therapies from their current positions. This may impact on the cost-effectiveness. This paper evaluates the impact of displacement on cost-effectiveness and models the outcomes.
RCTs have been synthesized via a meta-analysis and conclusions drawn about the impacts of displacement on characteristics of oncology protocols (a collection of therapies). Specifically the impact of a protocol being displaced from one of therapy to the next line of therapy has been assessed on overall survival, progression free survival and toxicity.
The impact of a protocol being displaced a line of therapy is to decrease a protocols effectiveness and increase the rate of toxicity per unit time. The line of therapy a protocol is used within impacts on the characteristics of the protocol. However the size of the impact is uncertain because of the data reported in the trials and the necessary restrictions on the methods of synthesis.
The potential impacts of the characteristics of a protocol altering as it is displaced are explored using modelling. The impact of displacing a protocol is to increase the cost-effectiveness of the protocol. Increasing the toxicity and reducing the effectiveness of a therapy in displacing it from one line of therapy to the next increases the cost-effectiveness of the therapy. The net economic loss associated with the increase in cost-effectiveness is highly variable. Key determinants include the mechanism of reimbursement.
The cost-effectiveness of a protocol is dependent on which line of therapy it is used in. Without pricing changes, on average, the cost-effectiveness worsens as a protocol is displaced from one line of therapy to the next. However the size of the opportunity cost of the health forgone from the worsening cost-effectiveness is highly variable.
Preference-based measures of health are often used in economic evaluations to calculate quality adjusted life years (QALYs). Increasingly they have been used as a measure of population health status; for example, comparisons of EQ-5D health profiles and utility values have been made by socio-economic status and behavioural risk factors. However the EQ-5D as a subjective measure is likely to suffer from mis-reporting and response category differential item functioning (DIF), like other self-rated measures of health, and failure to correct for it may lead to conclusions that are misleading.
This paper explores the use of anchoring vignettes to test and correct for systematic differences in responses and improve inter-group comparisons of EQ-5D profiles and indices. We apply hierarchical ordered probit (HOPIT) models to individual domain responses and assess the impacts of DIF in EQ-5D reporting according to gender, age, income and country of birth. We find considerable variation in the use of response categories across all EQ-5D domains, which alters relative differences in EQ-5D summary indices across respondent sub-groups.
To describe the use of hospital data linkage for research purposes in Australia.
A systematic review was performed using PRISMA checklist. Databases were searched using key terms for linkage and hospital. All journal articles available until December 2014 using individual patient-level data linked with hospital records were included. Information on publication year, state(s) involved, type of data-linkage, disease area and study purpose were extracted.
A surge of publications utilizing hospital data linkage is observed in the last 15 years. Of 629 total articles, 321 (51%) were from WA and 203 (32%) from NSW. Publications from WA have increased since the establishment of the first data linkage system in 1995 and NSW has made significant contributions since 2011. Small increases in publication numbers have also been observed from Victoria, South Australia/Northern Territory and Queensland in the last five years. Linkage to state hospital databases (56%) was the most common linkage employed. Only 8% of hospital data linkage was to non-hospital databases. The most common research areas were on factors influencing health status or health services (19%), circulatory diseases (15%) and injury and external causes (14%). 73% of publications were epidemiological with only a small proportion focusing on costs, informing policy, or economic evaluations.
84% of publications were from NSW and WA, while other states significantly lag behind in their use of data linkage for research purposes. The observable growth in publications in WA and NSW clearly showcases the underutilized opportunities in the other states for data linkage to add value in health services research. There is a wealth of useful data routinely collected in Australia’s hospital system and the barriers to access linked health datasets impedes efficient resource use and gains in knowledge through research.
Type 1 diabetes mellitus (T1DM) patients can decide how they administer insulin – typically, by injection or insulin pump. The development of continuous glucose monitors offers sensor-augmented insulin pump therapy (SAP) as the gold-standard therapy option. While SAP delivers improved glycaemic control and therefore reduces the risk of diabetes-related health complications, cost-effectiveness has only been demonstrated in a subset of patients prone to severe hypoglycaemia. The Australian Government does not currently subsidise SAP. Funding for SAP is now on the political agenda with both the Coalition and Labor Party announcing funding schemes for patients under the age of 21 if elected in 2016. The Medical Services Advisory Committee will need to review the health economics of the proposed subsidies. Therefore, it is timely to examine cost-effectiveness of SAP in adolescents with T1DM who often experience difficulties adhering to treatment, resulting in costly complications and influencing long-term disease management. We use a novel approach – a Discrete Choice Experiment survey – to apply consumer choice theory and determine treatment benefits to adolescent patients, generating additional quality-of-life measures. A sample of 200 adolescent patients with T1DM in Western Australia will be recruited to the survey. Initially, focus groups will be held to identify the appropriate treatment attributes for inclusion in the survey. Demographic information will be collected to assess the impact of family structures, education levels and private health insurance on treatment choices. A multinomial logit analysis will provide quantitative insight into the relative importance of each treatment attribute for male and female adolescent patients. Parents will also be asked to complete a Discrete Choice survey with a cost attribute to determine how a financial burden influences final treatment decisions. Preliminary results will be available in September 2016.
Premature retirement due to illness can have significant economic impacts. Individuals are affected through reduced income and savings; governments through decreased taxation revenue and increased expenditure on income support payments. These economic impacts are likely to increase in future with an ageing workforce and increasing trends in disease prevalence.
We have a developed a microsimulation model, Health&WealthMOD2030 to estimate the projected economic impacts of illness leading to early retirement to 2030, sourcing the base population from the Australian Bureau of Statistics 2003 and 2009 Surveys of Disability, Ageing and Carers datasets. Projected estimates of income, taxation, income support payments, savings and superannuation from a dynamic microsimulation model APPSIM and the disease trends from ACE-prevention models were synthetically matched with the base population to project forward the economic impacts of early retirement due to ill health to 2030 for the Australian population aged 45 to 64 years old.
This paper provides projections of the economic costs associated with illness-related early retirement for both individuals, in terms of income lost, and government, in terms of taxation revenue lost and increase in government support payments, for every five years from 2010 to 2030. On average, annual earnings lost of those not in the labour force due to illness, when compared to those in full time employment and have no chronic condition, is estimated to be about $43000 in 2010, which is estimated to increase to about $60000 by 2030. The estimated annual national loss of earnings due to illness-related early retirement is about $11 billion in 2010, estimated to increase to about $20 billion by 2030.
These results highlight the need for effective prevention or treatment of illness to keep older working age Australian in the labour force to reduce the immediate and the long-term negative economic consequences.
Background: A key market failure in healthcare is asymmetry-of-information between the consumer/supplier where the level of knowledge and expertise is weighted to the supply side. In the information age, patients may be more empowered in their negotiated relationship with healthcare providers. Importantly, information that empowers the consumer and underpins the emergence of ‘demand-induced supply’ (DIS) (patients demanding and receiving care that their clinician would not otherwise have offered) has implications for economic evaluation of bariatric surgery.
Objective: We employed qualitative research methods (QRMs) to investigate the emergence of DIS for bariatric surgery by identifying important information drivers (including information quality), and the divergence of â€˜importantâ€™ information pre and postoperatively.
Methods: Ten semi-structured focus groups of people who were waitlisted/undergone bariatric surgery were conducted (n=49). Thematic analyses were employed to analyse verbatim transcripts. Inductive/deductive theory building generated global themes informed by the pre-existing economic theories of the principal-agent relationship and asymmetry-of-information.
Results: We found a divergence between the â€˜beforeâ€™ and â€˜afterâ€™ surgery information drivers. In particular, we found that preoperative information relevant to psychosocial health domains (â€˜magic bullet effectâ€™, ‘seesawing weight’, stigmatisation/discrimination) supports demand-induced supply for bariatric surgery. Information that emerged as being highly relevant after surgery related to â€˜food addictionâ€™, â€˜mindsetâ€™, food practices and physical symptoms (eg â€˜refluxâ€™). We also found that relevant preoperative information sources (eg family/friends/internet) were different from after surgery (surgeon, allied-health eg dietician/psychologist).
Discussion: Our study is the first to adopt QRMs to investigate the emergence of DIS for bariatric surgery. By exploring patientsâ€™ â€˜livedâ€™ experiences, QRMs have elicited information drivers that would otherwise not be identified nor fully understood. We recommend that patient information sources be more targeted towards the psychosocial health domains preoperatively and ongoing postoperatively.
This paper attempts to identify the causal effect of social network on mental health of the Chinese rural-to-urban migrants. The Chinese migrants are a vulnerable group to the mental diseases. The empirical analysis is conducted based on a unique migrant survey from the Rural-to-Urban Migration in China Project, which includes the most up-to-date information about Chinese rural migrants. Using OLS and FE models, we find that larger network is significantly correlated with better mental health. To mitigate the endogeneity bias, we employ a novel instrumental variable approach. In particular, we use the rainfall at migrants’ hometown and mobile phone ownership as the instrumental variables. Both IV and FEIV estimates indicate that social network is beneficial in reducing mental health problem, and the effect is larger and significant for the migrants who are less mobile, have smaller network or are with more serious mental problem.
Despite the expectation that cardiovascular disease management programs (CVD-MP) may reduce costs while improving health outcomes, the results of cost-effectiveness analyses remain equivocal. Substantial variation in economic analyses of CVD-MPs hinders not only the proper assessment of cost-effectiveness but also the identification of potential predictors of cost-effectiveness. The objective of this review is to explore how much of the variability of cost-effectiveness can be explained by the characteristics of patients or intervention evaluated rather than the differences in study methodology and reporting practice.
Based on two systematic reviews we recently conducted, we further explored the impact of methodological and reporting variation on the cost-effectiveness of multi-component CVD-MPs by introducing scenarios that could lead to different policy, funding or clinical decisions. We then focused on ambiguity or equivocation, an issue most commonly observed in the published reports on CVD-MPs, which hinders the assessment of net intervention effects and the generalizability of findings.
We identified key limitations around which the research of CVD-MPs tend to pivot, such as poor third-party reproducibility, variations in handling of costs arising from improved survival, competing risks surrounding hospitalization events, or the assumed durability of post-intervention effects. To date, these limitations have hindered the ability to move beyond one-off experiments (a single study-based economic evaluation) and time-/place-specific attributes, leading to the substantial variation in the economic implications of CVD-MPs.
The current evidence supporting CVD-MP is affected by both methodological variation and inadequate or insufficient reporting of cost components, thereby true heterogeneity of interest is obscured. Further standardization using practical tools used in our recent systematic reviews such as a checklist for the reporting standards of health economic evaluation reporting will increase transparency and comparability across studies. These efforts should help translate research findings into unambiguous recommendations for decision makers.
A key outcome in the economic evaluation of health interventions is the Quality Adjusted Life Year (QALY). The quality of life (QoL) weight is generally provided by preference-based measures of health (e.g. EQ-5D). However, interventions can also result in improvements in non-health related QoL (e.g. social care), but currently these effects are only partially captured. The aim of this study was to understand the relative relationship between, and preferences for, health and social determinants of QoL (described using the EQ-5D-5L and ASCOT respectively). These were assessed jointly using a discrete choice experiment (DCE).
An online DCE was carried out in Australia. Respondents were presented with choice sets including two profiles with attributes from both the EQ-5D-5L and ASCOT. Each respondent completed 15 tasks from an underlying design of 300 choice sets. Analysis used standard approaches to analyzing DCE data, employing conditional logit modelling to estimate coefficient decrements for each level of each attribute to examine the relative importance of each.
The results suggest that the levels of the majority of the dimensions are ordered as expected. There is clear trading off between health and social care, indicated by differences in the magnitude of the coefficients across the different aspects of QoL included in the DCE tasks. Respondents reported been able to conceptualise the states presented and complete the tasks, but there was some drop-out.
The results improve our understanding of how aspects of health related and social care related quality of life are traded against other, and the relative importance of each. We have tested a possible choice based approach that will allow us to make inferences about QoL based on data obtained from different preference based instruments. The data also provide a basis for stimulating further research in this area.
In this paper, we review the existing literature on migrant health from historical and methodological perspective and expand the current analysis using the most recent 4 waves of data from HILDA to re-examine the association between migration and self-assessed health and whether self-assessed health of migrants deteriorates the longer they stay in Australia. Using ordered probit model, results from both cross-sectional and panel data random effects suggest that migrants from English speaking countries have higher self-assessed health than native born while migrants from ‘other’ countries tend to have no difference or worse health relative to natives. Furthermore, migrants’ health deteriorates the longer they stay in Australia controlling for a range of covariates such as age, gender, education, employment, and income. This is consistent with previous findings from the literature not only in Australia but also in Canada and the USA. In addition, we investigate if results are are sensitive to controlling pre-migration characteristics such as education and labour market outcomes.
Hereditary haemochromatosis is one of the most common genetic disorders amongst populations of northern European ancestry. Clinically it is characterised by iron overload, with excess iron stored in the parenchymal tissues of the liver, heart and pancreas. As early symptoms are non-specific, diagnosis is often delayed, leading to morbidity and mortality. Population screening programs have been suggested to reduce the associated burden of disease, however a paucity of robust health economic data has been cited as a major barrier. The aim of this study was to analyse the cost-effectiveness of screening for C282Y homozygote haemochromatosis in Australia.
A Markov model compared four adult screening strategies: the status quo (cascade and incidental screening), genotyping with blood and buccal cell samples, and screening using sequential transferrin saturation (TfS) followed by HFE-genotyping; and two neonatal strategies: the status quo and HFE-genotyping. Five Markov states based on increasing disease severity and death were used. The target populations were 30-year-old males and 45-year-old females, of northern European ancestry, and neonates irrespective of ancestry. Lifetime costs (2015 Australian Dollars (AUD)) and quality-adjusted life years (QALY) discounted at 5% annually were estimated from the perspective of the government. Univariate and probabilistic sensitivity analyses were performed.
All screening strategies for males were cost-effective in comparison to the status quo, producing ICERs of AUD1,673 (genotyping blood), AUD4,103 (TfS), and AUD15,233/QALY gained (genotyping buccal). For females, only the TfS strategy was cost-effective, with an ICER of AUD10,195/QALY gained. Genotyping neonates produced cost savings and improved effectiveness, thereby dominating the status quo. One-way sensitivity analyses identified discount rates and screening age as having the greatest impact on results.
This model suggests that genetic and TfS screening are likely to be cost-effective strategies for adults, and for neonates, genotyping dominated the status quo.
Rationale:Rapid socio-economic development, dramatic changes in people’s way of life and population aging have led the case prevalence of non-communicable diseases (NCDs) in China to increase rapidly, from 15.8% in 1998 to about 20.0% in 2008. These trends beg a series of questions. Most notably, how many resources have been spent in preventing, managing and treating NCDs so far; what diseases consumed most of health resources, and how much was paid by individuals so that the country is able to formulate health financing policies that balance the needs of the population and the country’s capacity to pay for services.
Objective: To analyse expenditure on prevention, management and treatment of NCDs by financing source, health provider and health function in China.
Methodology:Analysis was based on the latest version of the OECD and WHO System of Health Accounts methodology. Relevant data for the study were drawn from 3 major sources, namely the hospital revenue and expenditure data from the Ministry of Health, individual service utilization data obtained from a field survey conducted in 4 provinces and China’s 4th National Household Health Survey.
Result: Total expenditure on NCDs accounted for nearly 70% of total health expenditure(THE), but of these less than 2 percent were spent on prevention. Of those NCDs, CVDs consumed about 34% of the expenditure. Results also showed that reimbursement through health insurance was relatively lower for NCDs.
Conclusion: NCDs accounted for a large proportion of THE, but we also know that a large promotion of NCDs can be prevented by appropriate primary health care interventions. Therefore, the reimbursement policies should be direct towards encouraging these types of interventions. On the other hand, if these types of interventions discouraged by the reimbursement policies this will raise health financing sustainability issues.
Aims: Estimating time after event parametric models from survival analysis are often used to extrapolate into the future for predicted costs and outcomes. These predictions are used in cost-effectiveness analysis to form the basis of medical decision making. This paper aims to investigate the implications of using different methods for estimating the risk in the present and in the future.
Methods: This study is based on data from the Swedish National Diabetes Register linked to patient level hospital records, prescription data and death records. We selected patients with Type 1 diabetes who visited a clinic 2002-2010 and experienced a major cardiovascular complication after their clinic visit. We estimated a parametric model for mortality following a cardiovascular complication in two ways: Using age as the underlying risk; Using time from CVD event as the underlying risk. A simulation model estimating cardiovascular incidence, mortality and a competing risk model was used for illustrative purposes in a cost-effectiveness setting.
Results: Immediately following a CVD event, there is an increased hazard, which subsides in the medium term but increases again in the long-term, mimicking the shape of a “bathtub”. The results suggest using age as it adjusts for this effect post-event, producing better predictions in the future than using time from event. When extrapolating into the future, the two models predict opposite sloping directions of hazard which has different implications for cost-effectiveness analysis of interventions following a CVD event.
Conclusions: When estimating parametric models following a CVD event in Type 1 diabetes patients, our paper suggests using age as the underlying hazard provides better predictions when using these models to predict long-term outcomes and costs.
I investigate whether a large-scale bank expansion program affected parents’ decisions to invest in the health and education of their children. From 1977 to 1990, the Indian government implemented a new licensing program to encourage the construction of banks in under-served rural communities. The timing of the bank expansion program is used as an instrument to account for the possible reverse causality of child mortality or education rates affecting bank expansion. An empirical analysis using large-scale Indian surveys finds that states with a more rapid expansion of rural banks did not have significantly lower child mortality overall. However, in households with a first-born daughter, in which discrimination against daughters and in favor of sons is exacerbated, excess female mortality declines with an increase in banks. This occurs through higher male mortality rather than lower female mortality. Similarly, an increase in banks has no effect on daughters’ education, but it reduces sons’ years of education. Both of these effects occur in a context of more banks causing lower fertility and a reduction in poverty rates, which if anything should lead to reduced child mortality and higher education levels.
Using three waves from the China Health and Nutrition Survey (CHNS, 2004, 2006 and 2009), this paper examines the causal effects of air pollution on health in China. The measures of health rely on results of biomarker testing. In addition, this study sheds light on people’s response to local air pollution. To mitigate potential endogeneity bias in ordinary least squares (OLS) estimates, this study utilizes wind speed as an instrumental variable (IV) for the endogenous variable of interest, i.e. air pollution measured by Air Pollution Index (API). The IV estimates show that more severe air pollution causes lower density of hemoglobin whereas higher density of platelet, white blood cell, insulin and uric acid in blood. This study also provides evidence that heavier air pollution leads to changes in human behavior: i) more likelihood of having supplementary medical insurance, ii) less likelihood of drinking alcohol everyday, and iii) less consumption of beer and wine per week.
Achieving efficiency in non-market decision-making in health care is often interpreted as requiring QALY maximisation. This approach implies that QALYs are homogeneous across a population, i.e. that “a QALY is a QALY is a QALY” to whomsoever it accrues. However, QALY maximisation may not result in the most equitable distribution of QALYs across society. QALY gains across a population can differ over at least three dimensions: the characteristics of beneficiaries, the characteristics of health gains, and other important contextual factors.
In this review we search for studies using empirical data to elicit preferences across attributes for use in health care priority setting. The objectives of the review are to identify a list of attributes that can be classified into the three dimensions, to extract distributional weights, and to review preference elicitation methods and approaches that have been used for estimating distributional weights. General patterns from the data are inferred, pros and cons of each method are discussed, and future research directions are suggested.
The empirical evidence in these papers has concentrated mainly on age and severity. Overall, size of health gain, severity, age, lifestyle, and having dependants have been found to be important factors for prioritisation; gender and socioeconomic status have been found to be less important; and a premium for end-of-life treatment has not always been supported. It is implausible to synthesise results and draw firm conclusions because of heterogeneity in the use of approaches and questionnaires. Only a small number of studies estimated distributional weights, mostly for age or/and severity. Neither an agreed set of weights nor an agreed method has emerged from the literature. Early studies typically examined the importance of factors in isolation while the recent trend has been towards more realistic scenarios where multiple attributes are allowed to vary.
Objective: To investigate changes in stroke long-term survival for the public hospitals in the Northern Territory (NT) using routinely collected hospital data.
Design and setting: a longitudinal study of stroke patients consecutively admitted to the public hospitals between 1 July 1992 and 30 June 2013.
Main outcome measures: Stroke survival hazard ratios (HR) by time trend, key demographics, stroke subtypes and comorbidities. Kaplan-Meier method and proportional hazards Cox regression were used for survival analysis. A marginal structural Cox model was applied to adjust for time-dependent age confounder and loss to follow-up.
Results: There were 4754 stroke patients admitted over the study period. Of the total, there were 3540 (74.5%) new cases and 837 (17.6%) recorded deaths due to stroke. The distribution of stroke type was ischaemic stroke 46.9%, haemorrhagic stroke 23.8%, and type undetermined 29.3%. Age of stroke onset among Indigenous patients was 51.7, 12.3 years younger than non-Indigenous patients (64.0). The marginal structural survival analysis indicated that Indigenous stroke patients were more likely to die than non-Indigenous patients (HR=1.65, P
Background: To date, no economic evaluation of treating Tourette’s syndrome with deep brain simulation (DBS) has been published. The aim of this research is to present an initial exploration of an economic evaluation of DBS to treat severe TS.
Methods: We conduct a cost utility analysis (CUA), which compares the direct medical costs reported as $US and outcomes reported as quality-adjusted life years (QALYs) of DBS with best medical treatment (BMT). Our sample consists of 17 patients who received DBS for severe TS at St Andrews War Memorial Hospital, Brisbane, Australia from September 2008 to February 2012. Clinical indices for (i) tic severity (Yale Global Tic Severity Score) and (ii) depression (Hamilton Depression rating Scale) and (iii) age were collected pre and post DBS. These clinical data were converted QALYs using standardized coefficients derived from a multivariate regression derived from a German sample of outpatients (n=200)
Results: The direct costs of DBS and BMT were estimated to be $USD 124,400 and $USD 34,180, respectively. DBS was estimated to increase health utility from 0.45 to 0.78. The ICER of DBS was estimated to be $USD 27,600 per QALY gained, which is lower than the nominal US Food and Drug Administration approved threshold of $USD 50,000 per QALY.
Conclusions: Our initial exploration suggests DBS is a cost-effective treatment for patients with severe TS. However, our results were sensitive to estimates of the costs adverse events. Future research will administer a survey of healthcare costs and QALYs to an international database of TS patients treated with DBS, with the aim of developing a more robust estimate of QALYs.
Categories of self-reported health (SRH) are often used as a measure of health status. However, the difficulties with measuring health mean that getting individuals to select into SRH categories may involve misclassification. If neglected, misclassification can lead to substantial biases in the estimation of the effects of SRH on outcomes of interest. This paper studies the identification and estimation of nonlinear regression models where the key explanatory variable is SRH and two potentially misclassified measures of SRH are available. In contrast to linear regression models, standard instrumental variables and control function approaches do not allow consistent estimation of the coefficients of interest in nonlinear models. We show that, under suitable independence and conditional independence assumptions, the coefficients are identified from the joint distribution of the outcome and the two misclassified measures; and we propose a simple GMM approach to estimate these coefficients consistently. Comprehensive Monte Carlo simulations document the good small sample performance of the estimator under varying degrees of misclassification. Finally, we explore the issue empirically using the Household, Income and Labour Dynamics in Australia (HILDA) Survey, where a panel of individuals are asked the same question about their health status twice in some years, and a considerable number of individuals switch their stated health category when asked a second time.
Aim: This paper describes the methods and results of a systematic review to identify instruments that have been used in measuring quality of life outcomes in older people, with a primary focus on preference based instruments suitable for application within economic evaluation in the aged care sector.
Methods: To identify instruments used to measure quality of life in older people, online databases searched were PubMed, Medline, Scopus, and web of science, PsycInfo, CINAHL and informit. Studies that met the following criteria were considered: 1) study population exclusively above 65 years of age 2) measured quality of life outcomes as indicators of health status or HRQoL through use of an instrument, and 3) published in journals in the English language after 1990.
Findings: The most commonly used generic preference based instruments were the EQ-5D, HUI3, and AQOL. Of the older people specific instruments, the ICECAP-O was the most commonly used instrument followed by the WHOQoL-Old, the OPQOL the CASP-19 and the ASCOT. Conclusion: In the absence of a single ideal instrument for cost utility analysis undertaken in the aged care sector, this review recommends the use of a generic preference based instrument, the EQ-5D to obtain QALYs, in combination with the OPQOL or the ICECAP-O or the ASCOT to facilitate measurement of broader quality of life as defined by older people.
The use of count data to explore health utilisation is well documented and poisson regression models provide a standard framework for this type of analysis. In this paper I review and compare methods that deal with two forms of heterogeneity or over-dispersion in panel count models.I explore the Longitudinal Study of Australian Children K dataset to analyse one count variable- PBS utilisation. A central focus of this investigation was whether children who are screened as having language impairment (LI) have higher PBS utilisation and over what time periods.
This study seeks to explore the determinants of health care in different parts of the utilisation distribution. It exploits the panel nature of the data over five waves and provides insights into the timing of health care utilisation. It is the first Australian study that we are aware of that addresses this issue in an econometric framework.
A sample from the Longitudinal Study of Australian Children (LSAC) (n=3490, t=5 ) was estimated using negative binomial (random effects) models. I compare these models with the pooled poisson (robust SEs), pooled negative binomial and zero inflated negative binomial model to study the effects of language impairment (measured by PPVT (Peabody Picture Vocabulary Test ) on PBS utilisation (no of scripts).
The negative binomial (random effects) with Mundlak adjustment outperforms all models and the results show that having a positive language impairment screen at 4/5yrs is a significant predictor of between 0.76 and 1.33 higher PBS scripts for children in the highest income households. This is despite the lower income children reporting the highest rates of LI (36% screened). The results point to the existence of inequity in health care utilisation, which is found to be distributed according to wealth rather than according to need.
Introduction Healthcare expenditure aims to improve health outcomes and reduce health inequities through the provision and allocation of effective and efficient health technologies and services. The effects of increased investment in healthcare expenditure on population health are not well understood in Australia. Such expenditure effects have been proposed as a proxy measure of the opportunity costs of healthcare funding decisions to inform an empirical estimate of an Incremental Cost-Effectiveness Ratio (ICER) threshold, against which the value of new health care interventions can be referenced.
Method Routinely collected data on healthcare expenditure and mortality and population survey data on Health-Related Quality of Life (HRQoL) are used to estimate a reference ICER for the Australian healthcare system controlling for differences in health care need and sociodemographics. Instrumental Variable Two-Stage Least Squares Regression was used to estimate the causal relationship from healthcare expenditure to mortality-related QALY effects, to which morbidity-related improvements in HRQoL were added to generate a reference ICER.
Results Results suggested that healthcare expenditure had a significant positive impact on both mortality- and morbidity-related QALY gains. The reference ICER was sensitive to the allocation of HRQoL effects to healthcare expenditure and to the assumed duration of effect. Other key uncertainties related to the coverage of the expenditure data and the assumed mortality effects in the year of expenditure.
Conclusion The estimated relationship between healthcare expenditure and QALY gains provides a starting point for discussions around the validity of the described method to provide an empirical estimate of a reference ICER for the Australian healthcare system that can be used to guide future funding decisions for new healthcare technologies.
Measurement of health disparities is a key component for the assessment of health systems. The extent to which disparities in health are systematically associated with income has been proposed as a measure of disparities in realized health outcomes.
On average the poor not only have worse health than the rich but also experience a quicker deterioration in their health over time. However, by looking at realized health outcomes and trajectories, we ignore the variation in the health trajectories faced by poor and rich individuals. In particular we do not know whether the quicker expected average deterioration in the health of the poor is due to a homogenous negative expected impact experienced by all poor people or due to the poor being more exposed to possible negative shocks to their health. Individuals that are averse to uncertainty are likely to place more weight on avoiding the possibility of worse future health states.
This paper adds to the current literature on the longitudinal measurement of income-related health inequalities by developing methods which incorporate the level of uncertainty in future health prospects into the picture. Using data from the Australian Household, Income and Labour Dynamics in Australia (HILDA) Survey from 2002 until 2013 we find that the poor were not only expected to lose more health than the rich over time but they also faced greater uncertainty around their future health prospects than the rich.
Maternal obesity is associated with adverse pregnancy and birth outcomes. The objective of this study is to evaluate the overall cost effectiveness of antenatal dietary and lifestyle interventions for pregnant women who are overweight and obese pregnant. The study uses data from a multicentre randomized trial conducted in three hospitals in South Australia. Women having a singleton pregnancy, between 10-20 weeks’ gestation and BMI≥25 were randomised to receive either standard care (n = 1104) or a comprehensive dietary and lifestyle intervention (n = 1108). Cost effectiveness analysis was completed considering two significant clinical outcomes of the trial: infants born to women receiving lifestyle advice were significantly less likely to have birth weights above 4000g and were.less likely to suffer moderate to severe respiratory distress syndrome (RDS) compared to infants born to women receiving standard care. Direct out-patient, in-patient and intervention costs for up to 4 weeks after birth of the baby were calculated. The SF-36 QoL was completed by participants at trial entry, 28- and 36 weeks of gestation and 4 months post partum. No significant mean cost differences were found between the two groups. However, the cost effectiveness acceptability curve (CEAC) illustrates that if $20,000 is the threshold value (i.e. the maximum policy makers would be willing to pay), then the probability of lifestyle advice being a cost effective intervention for reducing the risk of infants with birth weight above 4000g is 0.85 compared to 0.15 for standard care. Similarly, using the same threshold value, the probability of lifestyle advice being a cost effective intervention for avoiding an infant suffering from moderate to severe RDS would be 0.64 compared to 0.37 for standard care group. In terms of changes in QoL, the combined treatment and time effects were not significantly different between two groups.
Price increases on sugar sweetened beverages (SSBs) feature prominently in the suite of recommended regulatory approaches to address population weight gain. The impact of price increases on socioeconomic inequalities in SSB consumption remains uncertain. This study was undertaken to examine the predicted impact of altered beverage prices and educational messages on consumer purchasing behaviour choice and their differential effect by socioeconomic position. A discrete choice experiment (DCE) was conducted with 2098 adults representative of the Australian population. An orthogonal design was generated such that each subject completed 20 hypothetical choice scenarios in a convenience store setting. The DCE was developed and refined based on literature search and focus group (n=24) and pilot study (n=160) findings. A labelled experimental design was used with seven SSB and non-SSB options (energy drink, regular soft drink, diet soft drink, fruit juice, bottled water, plain low-fat milk, flavoured milk) described by two attributes: four alternative-specific price levels and four generic volume levels. In each scenario, subjects were instructed to select which of seven beverage options (or no beverage) they would choose. Immediately prior to beginning the choice sets, half of participants were randomly presented with a real-world point-of-sale educational poster designed to discourage SSB selection. Our analysis explores both observed and unobserved heterogeneity in preferences and scale using mixed logit, clogithet and generalized multinomial logit models. Respondent trade-offs across attributes are investigated via marginal rates of substitution. Predicted probability analysis is undertaken to explore predicted beverage purchases under a number of policy relevant scenarios. Predicted purchase results are used to calculate own and cross-price elasticities by education and income categories. Results are expected to inform public education strategies aimed at decreasing SSB consumption at population or subgroup levels for more effective and equitable health outcomes.
We investigated women’s preferences for routine monitoring or contralateral prophylactic mastectomy (CPM) to manage breast cancer recurrence risk.
A community based discrete choice experiment (DCE) was used with attributes and levels derived from qualitative research with women who had undergone treatment for early stage breast cancer. The DCE presented women with 12 choices that described the underlying characteristics of routine monitoring and CPM: mode and frequency of monitoring; risk of cancer recurrence; risk of pain or loss of breast sensitivity; involvement in decision making; and costs. For each question, women were asked to choose their preferred management option. Women also rated their degree of concern about each of the attributes, including cancer recurrence, when making their choices. Results were analysed using mixed logit and latent class analysis, and expressed as marginal willingness to pay (mWTP). Results: 57.5% of women always chose one option, typically routine monitoring (49.1%), with fewer always choosing CPM (8.4%). Women fell into three groups: those preferring routine monitoring; those preferring CPM; and those who were willing to trade between the options (‘traders’). Among traders, choices were most highly influenced by the risk of cancer recurrence; women were less likely to choose an option associated with higher risk. Women were more likely to choose options associated with less intrusive methods of monitoring and where they were involved in decisions about their care. Women who were concerned about cancer recurrence were more likely to choose CPM over routine monitoring, and had a higher mWTP associated with avoiding cancer recurrence. Conclusions: Women have strong preferences regarding choice of management for breast cancer recurrence that reflect their concerns about the health effects of ongoing management and the associated experience of care.
Individual healthcare costs have a highly skewed distribution (Jones, Lomas et al. 2015) but also contain a large random component that means that it is rarely the same people driving the bulk of health expenditures (Ash, Zhao et al. 2001). While some people do have persistently high healthcare costs, many individuals move in and out of high cost categories and the healthcare system itself (Ronksley, McKay et al. 2015). Understanding the persistence of high and low costs of healthcare will be important for understanding the dynamics of cost distributions over time and forecasting how costs will change in coming years. Managing high costs of healthcare can only occur once the health status of those who fall into these groups is understood. To contribute to the debate on the stability of the distribution of healthcare costs we focus on administrative data for over 250,000 Australians from 2006 to 2014 and investigate the health states related to persistently high healthcare costs. We analyse the nature of persistent health costs by focusing on high cost groupings for a range of costs (specifically primary care, hospital, pharmaceutical and total health care costs) and assess whether the incidence of persistent high costs is driven by diagnoses, the complexity of a patient’s morbidity, the type of healthcare provided and the time to death. The approach we apply utilises maximum likelihood estimation of endogenous switching regression models and allows us to separately review the drivers of costs for those patients that do and do not have persistently high/low costs. Using decile groups for each individual year allows us to focus on persistence in the cost of healthcare in the short term (persistence for two consecutive years) and long term (persistence for three years or more).
Social Security eligibility begins at age 62, and approximately one third of Americans immediately claim benefits upon reaching that age. We study the link between retirement and health by examining whether mortality changes discontinuously at this threshold. Using mortality data that covers the entire U.S. population and includes exact dates of birth and death, we document a robust two percent increase in overall male mortality immediately after age 62. The rise in mortality is closely connected to changes in labor force participation, implying that mortality increases by approximately 20 percent among those who stop working because Social Security is available.
Lack of self-control before maturation is a popular explanation of adolescent risky behaviors: adolescents gain self-control as they mature, causing them to moderate their behaviors. Even though its policy applications are plenty, this explanation lacks empirical support because maturation is not observed in behavioral data. To that end, I consider maturation as a treatment both its timing and treatment effect being unknown. I show its identification under a standard difference-in-difference setting, then proceed to estimate the corresponding econometric model. Based on the National Longitudinal Survey of Youth 1997, the estimated maturation age distributions for males and females both peak at age 21, matching neuroscientific estimates on brain maturation. The estimated maturation gradient for binge drinking (10$\%$) is greater than the policy effect of legal drinking age (6$\%$), thereby lending a natural benchmark for the latter.
Aims: The Australian Federal Government has recently committed to major policy reform in aged care, commencing with the introduction of consumer directed care (CDC) across the community aged care sector. The aims of this study were to assess the impact of CDC on the quality of life of older Australians and to determine the extent of variation in quality of life according to the length of exposure to CDC.
Methods: Quality of life was assessed using the EuroQoL 5 dimensions 5 level (EQ-5D-5L) and the older people specific capability index (ICECAP-O). The relationships between quality of life, length of time receiving CDC and socio-demographic characteristics were examined using descriptive statistical and multivariate regression analyses.
Results: In total 484 older people were approached of whom 150 (31%) consented to participate. Mean quality of life score were 0.56 (sd=0.26) and 0.76 (sd=0.17) according to the EQ-5D-5L and the ICECAP-O respectively. Sub-group analyses revealed higher quality of life scores for those in receipt of CDC for 12 months [0.54 (0.25) and 0.72 (0.18)], although these differences were not statistically significant. Multivariate analysis indicated that age (p=0.001) and hours of support (p=0.001) were associated with higher quality of life for the EQ-5D-5L whilst living alone (p=0.013) and hours of support (p=0.015) were associated with higher quality of life for the ICECAP-O.
Conclusion: Although little variation was found overall in quality of life outcomes according to the length of exposure to CDC for either the EQ-5D-5L or ICECAP-O, those with a longer period of exposure indicated a stronger capability in being able to do things that made them feel valued. Longitudinal follow up is needed to facilitate a detailed examination of the relationship between CDC and its longer term influences on quality of life.
Childhood obesity has an alarming upward trend across the world. This paper studies the impact of school on childhood obesity in Australia. My study is the first to investigate also how school entry affects diet and time use of children, which are considered as factors associated with weight outcomes. Using school entry rules in different Australian states and territories, a fuzzy regression discontinuity design is implemented to estimate the causal impact of school on the above outcomes. A positive and significant impact is found on the probability of being obese, and the probability of having a waist-to-height ratio exceeding 0.5. Children who enter school early are more likely to consume sugary drinks. No significant impact is found on total exercise time as parental time is substituted by the time at school.
In the past 65 years, China has undergone significant demographic change induced by an ageing population and increasing life expectancy at birth. Mass urbanization and greater wealth have brought changes in lifestyles in both urban and rural areas. These demographic and socioeconomic changes have resulted in a shift in the disease burden from communicable diseases to non-communicable diseases (NCDs). There is enormous, and yet hitherto fully accounted, growth in the population living with NCDs. Evidence has documented the prevalence of chronic diseases as a whole, which includes both chronic infectious and non-communicable diseases, and some specific NCDs, based on national and sub-national household survey. However, little is known about the national-wide NCDs prevalence and risk factors. This paper proposes to fill this gap by providing a comprehensive analysis of the prevalence, distribution and determinants of NCDs in China. This paper will use data from China Family Panel Study (CFPS), a high-quality nationally representative, biennial longitudinal survey designed to collect individual-, family-, and community-level data. This research will use the two current available waves of the data from 2010 and 2012 and pooled probit and fixed effects regression models to estimate the association between the probability of NCDs and key risk factors. This research will have important implications for understanding the burden of disease and development of policies to curb the growth of NCDs across the Chinese population.
The key challenge in predicting patient waiting times for hospital admission is estimating the dynamic effect of changes in the composition of the waiting list, both from other patients waiting concurrently and from the path-dependent effect of historical changes. A clear shortcoming of previous research is that the proposed models are unable to directly capture the dynamic feedback effects characteristic for hospital waiting lists, because cross-sectional independence is assumed. We propose a model of waiting time that characterises the dynamic interaction at the patient level. A particular strength of our approach is that we can demonstrate its rationale based on routinely collected patient records. To achieve this, we conceptualise the waiting list as a two-dimensional space. This patient space is captured in a weights matrix that is estimated jointly with the underlying model. To do this, we first calculate a local spatial autocorrelation statistic to obtain an empirical weights matrix and then estimate the model using an asymptotically optimal IV estimator for cross-sectionally dependent data. We also present the dynamic equilibrium effects illustrating the patient-specific impact of changes in demand or supply factors including all dynamic feedback effects. To illustrate the relevance of this model, we analyse the impact of the introduction of a hypoplastic left heart syndrome surgery program at the Sydney Children’s Hospital Network on waiting times for other patients requiring intensive care facilities. The suggested model has clear advantages in terms of its theoretical consistency and explanatory power over the existing literature. It provides additional, clinically relevant information and may be useful in guiding treatment planning and clinical evaluation decisions. The paper is original in its application of spatial econometric estimation approaches to a non-spatial application in public health. Hence, it also illustrates the ample possibilities for other applications of this method.
In the United States, physicians exercise tremendous discretion in choosing billing details that determine payment for their services. While understanding the degree to which physicians inappropriately use this discretion has implications for setting payment policies, separating inappropriate discretion from actual differences in patient complexity can be empirically challenging. Anesthesia offers a useful test case because practitioners are compensated by self-reported length of time (â€œanesthesia timeâ€) spent on a case, so that anomalous patterns in a practitioner’s reported timesâ€”such as an excess number of cases with an anesthesia time ending in five (e.g., 65 minutes) â€”can be used to objectively identify instances of inappropriate billing. Using a national database of anesthesia cases, we examined the presence of anomalous billing patterns among 5,755 anesthesia providers. We found that anomalous patterns are fairly commonâ€”a substantial minority (24%) of practitioners report an unusually large number of cases with anesthesia times ending in 5 or zero. Practitioners who were particularly anomalousâ€”those in the top 5th percentile in terms of anesthesia times ending in 5 or zeroâ€”also tended to report anesthesia times that were 22 minutes longer than expected, which would net an additional $34 to $98 per case, depending on payer. While inappropriate practices seem confined to a minority of anesthesia practitioners, our results provide some impetus for ongoing policy efforts aimed at reducing the amount of discretion given to physicians.
Public education mass media campaigns are an important intervention for influencing behaviour modifications. However, evidence on the effectiveness of such campaigns to encourage the population to reduce sun exposure is limited. This study investigates the benefits and costs of three skin cancer campaigns implemented in New South Wales from 2006-2013. This analysis uses Australian dollars (AUD) and 2010-11 as the currency and base year, respectively. Historical data on skin cancer were used to project skin cancer rates for the period 2006-2020. The expected number of skin cancer cases is derived by combining skin cancer rates, sunburn rates and relative risk of skin cancers due to sun exposure. Counterfactual estimates are based on sunburn exposure in the absence of the campaigns. Monetary values are attached to direct (treatment) and indirect (productivity) costs saved due to fewer skin cancer cases. Monetary benefits are compared with the cost of implementing the campaigns and are presented in the form of a benefit-cost ratio. Rela- tive to the counterfactual (i.e., no campaigns) there are an estimated 13,174 fewer skin can- cers and 112 averted deaths over the period 2006-2013. The net present value of these benefits is $60.17 million and the campaign cost is $15.63 million. The benefit cost ratio is 3.85, suggesting that for every $1 invested a return of $3.85 is achieved. Skin cancer public education mass media campaigns are a good investment given the likely extent to which they reduce the morbidity, mortality and economic burden of skin cancer.
Introduction: The decision to have breast reconstruction following a mastectomy is a ‘preference sensitive’ decision that should incorporate a patient’s values, attitudes and preferences. A recent study, the Breast RECONstruction Decision Aid (BRECONDA) study, assessed the impact of an online patient decision aid (PtDA) to assist women faced with having to decide whether or not to have breast reconstruction surgery, finding that women using the decision aid experienced significantly less decisional conflict than women receiving standard care. The purpose of this study is to examine the cost effectiveness of the BRECONDA PtDA compared to no PtDA for Australian women with breast cancer. Methods: Health services usage and quality of life measures were collected for 222 women (106 in control condition, 116 in treatment) as part of the BRECONDA study. Outcome measures were difference in utility scores, as measured by the EURO-QOL 5D, the extent to which these correlate with the traditional measures of effectiveness such as decisional regret, satisfaction, and decisional conflict. Cost comparisons were based on health services usage (e.g., hopsitalizations, outpatient visits, and GP visits) and cost of the PtDA. Results: The results suggest no differences in cost of services or EURO-QOL 5D. However, the differences in decision regret and decision conflict suggest that the PtDA was valued by women, and raises questions about the appropriateness of traditional measures of outcome evaluation used to evaluate PtDA. Conclusions: The study concludes with recommendations for behavioural medicine researchers on the appropriate way to assess the cost effectiveness of PtDAs.
Introduction Informal carers play a significant role in providing ongoing support and assistance to people with mental illness. This study estimated the value of informal care delivered by Australian mental health carers, in terms of the estimated cost to ‘replace’ this care by formal health services. Methods We calculated the replacement cost of informal mental health care in Australia by: (1) estimating the total number of mental health carers aged 15+ years in Australia; (2) estimating the total annual hours of care provided by mental health carers for different tasks – i.e., emotional support, support for practical tasks and support for activities of daily living; (3) valuing the cost per hour to replace informal care tasks with formal services; and (4) offsetting existing government expenditure on carers. A government funder perspective was adopted to calculate replacement cost estimates for the year 2015. Input data were sourced from published data, analyses of several population surveys and a purpose-designed online survey of carers. Uncertainty was propagated from input data to final replacement cost estimates using Monte Carlo simulation. Results We estimated there were 240,000 (95% Uncertainty Interval: 220,000-260,000) mental health carers in Australia during 2015. Overall, these carers provided 208 million hours (95% UI: 181-237) of informal care per year. The majority of care involved emotional support (68%), while the remainder involved support for practical tasks (29%) and activities of daily living (3%). After adjusting for cost offsets, the total annual replacement cost was calculated to be $13.2 billion (95% UI: 11.3-15.3). Discussion Current government policies in Australia favour informal carers of people with physical health conditions. This study highlights the unique role taken on by informal carers of people with mental illness. The unique circumstances of mental health carers should be accounted for when developing future government policies for all informal carers.
This is an innovative paper that combines research on time use and, mental health, to answer the question; how is a parents’ psychological well-being associated with the way they utilise their time. In addition, the paper investigates whether this association has gendered in nature. To tackle this question the study uses the Household, Income and Labour Dynamics in Australia Survey (HILDA). The results of the regression estimations using information on the time spent in six different activities, reveal, that household errands, but not housework are negatively associated with mental health of both mothers and fathers. Moreover, even though some activities such as errands, taking care of children and outdoor tasks have the same pattern for both sexes; only fathers’ labour hours are significantly associated with mental health, consistent with gender role theories, that suggest that a mother’s key role within a family is parenting children, while a father’s gender-based role is a breadwinner.
The aim of this paper is to examine how health and health behaviours change in widowhood, and whether more favourable profiles are observed for individuals with higher social capital. The Household, Income and Labour Dynamics in Australia Survey contains rich panel data on health and social capital for over 600 individuals whose partners died within the survey follow-up period. Death data are also linked to the National Death Index, allowing a rigorous analysis of the role of social capital in the health effects of widowhood over time. Fixed-effects models reveal poorer mental health among both genders and for all levels of pre-widowhood social capital, particularly in the first two years of widowhood. Short-term improvements in physical health are seen among those with lower capital, possibly due to relief from caregiver burden. Males with lower capital show lasting lifestyle changes pertaining to smoking, drinking, and exercising in widowhood. Results suggest that social capital does little to mitigate grieving or temporary dips in mental health experienced after spousal death, but among males social capital may facilitate good health behaviours in widowhood.
Inequalities in mental health around the time of having a baby are of importance as mental health problems are common in this period, it is a time of heightened contact with health services (and therefore presents opportunities for intervention) and children’s development may be particularly sensitive to mothers’ mental health at this time. Previous studies have demonstrated the presence of socioeconomic inequalities in postnatal mental health, but have not used methods that utilise data on the full range of the income spectrum, such as the concentration index, nor decomposed inequality into components that may be contributing to observed inequality. This study explores socioeconomic inequality in women’s postnatal mental health using UK panel data from the Millennium Cohort Study. In addition, the longitudinal nature of the data is exploited to investigate how mothers’ postnatal mental health is associated with inequality in later mental health, as well as intergenerational implications in association with children’s outcomes.Â Inequality is explored using Oaxaca-type decomposition and regression-based decomposition of the concentration index, the results of which may suggest avenues warranting further investigation for reduction of socioeconomic health inequalities.
Background – Ensuring access to appropriate primary healthcare services is vital to close the gap in health standards between Indigenous and non-Indigenous Australians. This study investigates the relative utilisation of healthcare services of Indigenous and non-Indigenous Australians at high risk of Cardiovascular Disease (CVD) and examines the factors associated with use across the two groups controlling for the individual risk facing each patient.
Methods – Data was collected during the Kanyini Gap randomised controlled trial testing the efficacy of the use of a polypill to treat and prevent CVD in a high-risk population of Indigenous and non-Indigenous Australians in urban, regional and remote settings across Australia. Service use was estimated using the average Medicare Benefits Schedule (MBS) expenditure per year for each patient.
Findings- a total of 535 individuals were included in the analysis of which 51% identified as Indigenous. While Indigenous individuals had a lower MBS spend on average, this difference was not significant when individual risk and socio-demographic variables were controlled for (p=0.12). However, Indigenous individuals living in regional or remote areas had significantly lower expenditure than other individuals.
Homelessness is a complex phenomenon: it is not mere absence of secure housing, sometimes it is the cause of a range of life factors such as violence, abuse, poverty, health, social and emotional conditions, and poor employment outcomes; and sometimes homelessness is the financial inability to travel home.
An increase in the number of Indigenous homeless persons in Cairns, prompted the Queensland Police Service (QPS) to commence a pilot ‘Return to Country’ (R2C) program. The program is designed to assist homeless people who are voluntarily seeking to return to their home communities, but, for multiple reasons, could not afford to. This study assesses the costs of running the program and evaluates its net economic impact. Retrospective uncontrolled cost, cost-effectiveness and cost-offset analyses were undertaken from a societal perspective. All costs were expressed in 2014 AU$.
QPS assisted 140 individuals who wished to return home, reducing the prevalence of homelessness in the regional center by 9.6%. The total program cost was estimated as AU$ 135,831 or AU$ 970 per participant. In comparison, evidence suggested that a homeless person could cost the government an extra AU$ 5,270 – 33,508 per person/year as a result of greater utilization of health and justice services. The R2C program offers an innovative solution to Indigenous homelessness and represents a cost-effective use of public resources. This relatively simple, minimal cost program aimed at reducing homelessness potentially saved AU$ 2,714,460, not to mention psychological wellbeing and social cohesion that benefited participants and their communities.
Indigenous health inequality is a major public health concern in the Northern Territory (NT). Indigenous Territorians constitute about 27% of the total population. This study aims to estimate the costs associated with the Indigenous health inequality in the NT between 2009 and 2013.
The Census and burden of disease data were used to estimate the costs of the health inequality by adapting the cost-of-illness approach to cost estimation. The excess cost of the Indigenous health inequality totalled approximately $16.7 billion for the 5-year period, of which 22% was due to higher health expenditure, 35% attributable to lost productivity and 43% to lost life-years. This was equivalent to an overwhelming 19% of the total gross state product in the NT.
It is proposed that the health sector must develop strategies to improve health and reduce costs due to Indigenous health inequality. The findings also highlight a need for better housing, education and employment for Indigenous people. Successful implementation of these strategies is likely to require improving cost-effectiveness of government services by combating discrimination, developing local economies, overcoming poverty and remoteness.
The education-health gradient is one of the most established associations in social science. Yet despite the abundance of empirical evidence documenting the existence of the relationship, we still do not have a complete understanding of why the association exists. In particular, we do not have a clear sense of exactly what it is about education that leads to better health. The current paper attempts to uncover a part of this question by examining the causal impact of education on health literacy. Using data from the English Longitudinal Study of Ageing (ELSA) survey, we examine whether exogenous changes in compulsory schooling reforms of the 1940s and 1970s – which raised the minimum age at which individuals in the UK could legally leave school, impacted the ability of older respondents to answer a series of questions relating to a fictitious medicine label. Preliminary results suggest that there is a causal relationship between education and health literacy for females. This could have serious implications for policy – particularly given the large proportion of respondents with lower education that had been advised by their doctor to follow therapy regimes to manage chronic health conditions.
It is well known that married individuals are healthier than singles. While selection into marriage has been found to contribute to this relationship, current evidence suggests there is a also a significant protective role of marriage on health. In this paper, we study in detail this protective role of marriage. In particular, we explore how health transitions are affected by spousal characteristics that include age, education, physical and mental health status, cognition, labor force status, and employer provided health insurance status. We also explore how health behaviors are affected by these spousal characteristics. We study these effects separately for men and women using the HRS.
The empirical literature that aims to identify the causal effect of education on health often exploits the enactment of schooling laws as a source of exogenous variation in education. The external validity is problematic as the estimated local average treatment effects (LATE) represent the effects around the change in education level affected by the specific schooling law. This study aims to exploit the variation in education among identical twins to identify the causal effect of education on health and health behaviours. Estimates from a twin design will be closer to the average treatment effect (ATE) as within-twins differences can range across much wider education levels. A twins-fixed effects model is used as the main regression model. I conduct sensitivity analyses to test whether other differences in twins other than genes and their common social environment can cause further endogeneity bias. I test how sensitive the main results are when only including twins who had similar early-life circumstances in the analysis. To test reverse causality I check whether the main results are sensitive when birth weight differences and other early life health differences between identical twins are included in the analysis. I use data from the 2014 Australian Twins Registry (ATR) Adult Health and Lifestyle Questionnaire. The final study sample includes 959 pairs of identical twins and 349 pairs of non-identical twins. Preliminary results show that having a bachelor degree has a positive effect on self-assessed health, reduces the probability of ever smoking in life and reduces the amount of cigarette consumption. Completing high school doesn’t have any statistically significant effect on health and health behaviours. Once early life health is controlled for, the effect of having a bachelor degree becomes insignificant except for the probability of ever smoking and the amount of cigarette consumption.
Mental health problems can exert considerable negative impacts on the sufferers themselves, as well as their friends and family members, their communities and society as a whole. The objective is this paper is to investigate the interdependence of mental health status among close family members. Given that the effects could be realized over many years we do not study mental health in a static situation, but instead, study the mental health dynamic. We also study the mechanisms behind mental health shock transmission. Our results suggest that mothers’ mental health has positive and significant impacts on adolescents’ mental health, even after controlling for a comprehensive group of individual, household, and community and area characteristics. Furthermore, we observe gender differences in this effect, with mother-daughter mental health interactions found to be stronger than interactions between father-daughter, mother-son and father-son. Also, mothers with higher education levels tend to have a greater influence on their children’s mental health status. This suggests that parenting quality is a possible mechanism behind the mother-child mental health interdependence.
Background Universal vaccination against rotavirus was included in the funded Australian National Immunisation Program in July 2007. Predictive cost-effectiveness models were used to assess the program before introduction. Since implementation, a range of empirical data relevant to measurement of real-world program impact has become available allowing improved estimation of the value for money achieved.
Methods We conducted a retrospective economic evaluation using population level post-implementation data on vaccine uptake, before-after measures of program impact and published estimates of excess intussusception cases. These data were used as inputs into a multi-cohort compartmental model which assigned cost and quality of life estimates to relevant health states. A healthcare payer perspective was adopted, with the primary outcome being the discounted cost per quality adjusted life year gained. We reported results including or excluding unspecified acute gastroenteritis (AGE) hospitalisations. Results Relative to the baseline period (1997-2006), we estimated that ~77,000 hospitalisations (17,000 coded rotavirus and 60,000 unspecified AGE) and ~3 deaths were prevented and an estimated excess of 78 cases of intussusception occurred over the 6 years (2007-2012) after implementation of the rotavirus program. Approximately 90% of hospitalisations prevented were in children
Purpose: The PedsQLâ„¢ 4.0 Short Form 15 Generic Core Scales (hereafter the PedsQL) and the Child Health Utility 9 Dimension (CHU9D) are two generic instruments designed to measure health-related quality of life in children and adolescents in the general population and paediatric patient groups living with specific health conditions. Although the PedsQL is widely used among paediatric patient populations, presently it is not suitable for the calculation of quality adjusted life years (QALYs) for application in economic evaluation because it produces summary scores which are not preference-based. This paper examines different econometric mapping techniques for estimating CHU9D utility scores from the PedsQL for the purpose of calculating QALYs for cost-utility analysis.
Methods: The PedsQL and the CHU9D were completed by a community sample of 755 Australian adolescents aged 15-17 years. Five regression models were estimated: ordinary least squares estimator, generalised linear model, robust MM-estimator, multivariate factorial polynomial estimator and beta-binomial estimator. The mean absolute error (MAE) and the mean squared error (MSE) were used to assess predictive ability of the models.
Results: The MM-estimator with stepwise-selected PedsQL dimension scores as explanatory variables had the best predictive accuracy using MAE and the equivalent beta-binomial model had the best predictive accuracy using MSE.
Conclusions: The preferred mapping algorithm (MM dimension-level models) can be used to predict CHU9D utilities from the PedsQL with a high level of accuracy. The algorithm facilitates the estimation of health state utilities for use within economic evaluations in paediatric populations where only PedsQL data is available.
Maintaining individuals with health limitations in the labour force is a challenge of increasing importance given the ageing population. The literature has established that poor health is strongly associated with a lower likelihood of labour force participation but the evidence on employment outcomes other than labour supply decisions is limited in comparison. Determining the effect of health on occupation may tell us how people adapt to their limitations and what types of jobs make this harder or easier. This paper uses dynamic multilevel modelling to examine the effect of health and changes in health on occupation for the working age population. Two measures of occupation are used to capture two aspects of occupation highlighted in the literature as linked with health: physical job demands and status. The models use data from the first fourteen waves of the Household, Income and Labour Dynamics in Australia Survey (HILDA) and accounts for initial condition, state dependence and unobserved heterogeneity. The results of the analyses find some evidence that a health shock reduces the likelihood of manual employment for men. There is no significant effect of health, health shocks (for women) or health improvement on occupation or occupational status after controlling for selection into employment.
Objective: To explore the dynamic changes of disability prevalence and related impact factors in China from 2000 to 2010, and to discuss the disability free life expectancy trend over this period.
Method: Three waves data of Sample Survey of the Aged Population in Urban/Rural China (SSAPUR) were used. The Logistic Regression Models for each wave, the Random Effect model for three waves were employed to identify predictors. The projection of Disability Free Life Expectancy was estimated by Sullivan’s method.
Results: There was a decline in ADLs prevalence from 8.92% to 8.13% in the 10- year period, which was predicted from urbanization, improvement in socio-economic status and increasing medical insurance. The health life expectancy increased, while the duration of disability experienced a high “compression of morbidityâ€ stage from 2000 to 2006 and seemed turn to “expansionâ€ from 2006 to 2010.
Discussion: Long term care policy and service should give priority to the disadvantaged elderly persons with disability, especially in the rural areas.
Background: Nasal High Flow and nasal CPAP are the two most common non-invasive modes of respiratory support for preterm infants with early respiratory distress. Knowledge regarding the cost-effectiveness of the two therapies is lacking.
Methods: We conducted an economic evaluation of High Flow and CPAP therapy alongside a multicenter, randomized controlled trial targeting High Flow and CPAP as primary support for preterm infants with respiratory distress. The inpatient costs incurred in all participating Australian sites were linked to the trial database. The cost-effectiveness of the two therapies was analyzed from a health system perspective.
Results: The total cost of hospital stay per infant was non-significantly higher in the CPAP group $32,036 (95% CI $28,082, $35,989) compared to the High Flow group $29,785 (95% CI $26,332, $33,239), P=0.40, as was the cost of the treatment-specific disposable equipment ($135 and $118 respectively, P=0.15). CPAP was more effective in preventing treatment failure within 72 hours of randomization, less effective in avoiding nasal trauma, and neither statistically or economically different from High Flow in preventing intubation and ventilation. An incremental cost-effectiveness ratio was estimated of $20,623 (95% CI -$25,583, $145,237) per additional treatment failure avoided if CPAP was used compared to High Flow.
Conclusions: CPAP was more effective than High Flow in preventing treatment failure at a greater average cost and may be cost-effective. Whilst High Flow was not cost-effective compared to CPAP in this trial, given its lower average cost, similar intubation and ventilation rates and lower nasal trauma rates, future research to investigate its alternative place in the treatment algorithm may be warranted.
In Australia the population of care workers increased by 36 per cent from 131,283 in 2006 to 178,340 in 2011. It is predicted that the number of aged care workers needed will triple over the next quarter of a century. However, there was increasing difficulty to filling vacancies for registered aged care nurses, with nearly 40 per cent of vacancies taking more than a month to fill. It is timely to have a deeper understanding of the current aged care workforce, which is comprised of highly professional workforce and lower skilled workers. Immigrants currently make up about 35% of the aged care workforce – a proportion that has increased markedly over the past decade. We use the linked employer-employee data from the 2012 National Aged Care Workforce Census and Survey (NACWCS) to examine the relationship between immigration and different domains of subjective wellbeing in the aged care sector. Since aged care employees were nested in aged care facilities, the NACWCS data are clustered. Therefore, the standard assumption of independent observations is unlikely to hold due to the dependence among surveyed employees within the same facility, as well as the dependence among facilities in the same state. In this paper we apply a two-level random-effects model to take into account that employee characteristics may interact with facility characteristics and state-level institutional characteristics.
Hospital emergency departments (EDs) ration access to care under excess demand using a combination of prioritisation mechanisms and waiting times. Waiting times reduce demand for care by increasing the opportunity cost to patients of seeking treatment, leading to a downwards-sloping demand curve. However increased waiting times may also provide incentives to providers to increase the quantity or speed of treatments, leading to an upwards-sloping supply curve. Upwards-sloping supply may occur for two reasons: Firstly, hospitals may face performance incentives which reward shorter waiting times. Secondly, hospitals may be altruistic towards their patients and prefer to reduce the waiting time each patient faces.
We test for the existence of an upwards sloping supply curve in Victorian hospital EDs by exploiting a shock to demand caused by the ‘swine flu’ pandemic of May 2009. We use unit-record patient data aggregated to the hospital/day level to estimate panel data models of the relationship between waiting times, the number of patients treated, and the average ‘treatment time’ for each patient. Our rich data will allow us to account for changes in the characteristics of patients including diagnosis, triage category, mode of arrival, and demographics. Our models allow us to take account of unobserved heterogeneity at the hospital level and isolate variation in waiting times caused by an exogenous shock.
Our results will help policymakers to understand how hospital EDs respond to demand shocks, balancing the treatment needs of patients and the imperative to keep waiting times down. They will also help contribute to the nascent literature in modelling the economic incentives in hospital EDs more generally.
In this paper we assess whether giving greater financial and operational independence to hospitals improves performance by means of increased economies of scale and scope. We apply a difference-in-differences strategy to a sample of English NHS trusts for the period 2000 to 2008 following the foundation trust (FT) policy implemented in 2004. FT hospitals were given greater autonomy in development of businesses and strategies that best coordinated their financial and operational structure with local needs. We expect that under new financial and managerial freedoms, FTs will invest mainly in services where they are able to extract economies of scale and scope, with a consequent cost advantage for FTs with respect to NHS trusts that cannot benefit from such flexibility. A way to verify the existence of such opportunistic behavior is to test whether there are any differences in the cost structure of FTs and NHS trusts, following the implementation of the FT policy which has made FTs more likely than NHS trusts to exploit economies of scale and scope in the take-up of the whole reform agenda. We find that the FT status discourages economies of scale, but facilitates scope economies. However, we also find that regardless of status, hospitals in general exhibit economies of scale and diseconomies of scope. Analysis by type of services provided (day case, elective, non-elective care) provides interesting insights as well.
Despite an increasing number of new specialists doctors entering the workforce and the high concentration in their market (over 85% of all specialists are located in major cities), bulk billing rates for services provided by specialists are very low (only 30%). Various reasons contribute to high prices, for instance medical specialists in Australia provide services in a market where prices are unregulated; they are more likely to operate their private rooms adjacent to hospitals or in affluent areas, where patients tend to have additional private insurance coverage; and patient’s preferences for prices, waiting times and quality of care may be less important in this market because they often rely on their GPs’ referral when seeing a specialist. GPs acting as gatekeepers create entry barriers for new specialists that contribute to an increase in market power.
The aim of this research is to investigate the determinants of prices charged and bulk-billing rates provided by medical specialists in Australia. We discuss and examine empirically some aspects of competition between specialists, including densities of other specialists and GPs in small areas, distances between GPs and specialists, and between specialists in the same specialty, and also examine referral networks proxied by medical school graduation cohorts. We use detailed individual doctor level panel data on a representative sample of around 4,000 medical specialists from the Medicine in Australia: Balancing Employment and Life (MABEL) survey.
Angiography is a diagnostic procedure using a special dye and x-rays to examine blood flows through the arteries. Current clinical guidelines recommend that all acute myocardial infarction (AMI) patients receive angiography prior to discharge. For stable ischaemic heart disease (sIHD), angiography is only recommended for patients with a high pre-test likelihood of obstructive coronary artery disease, and then only following positive non-invasive testing. Despite guideline recommendations, there are concerns of significant overuse of angiography for sIHD patients and under-use for AMI patients. This paper uses hospital administrative data from Victoria from 2000/01 to 2012/13 to identify and document, by hospital and over time, the extent of over- and under-use of angiography for respectively sIHD and AMI patients. The paper examines the variation in angiography rates for the two types of inappropriate care across hospitals and links the observed variation to institutional factors such as private hospital status and constraints on catheterization laboratory capacity. Preliminary computation using 2011/12 data shows that about 4,000 AMI patients were not given angiography but should have, while more than 4,500 stable IHD patients received angiography but should not have. There is an obvious mis-allocation of resources—lives could be saved while costs to the health system could be reduced if more AMI patients could receive angiography in place of sIHD patients.
There are few studies of the preferences of consumers for aged care services, such as residential care. Therefore, while there is information available on general satisfaction with residential care, there is limited empirical knowledge on which characteristics of a residential care facility are the most or least attractive to people living in residential care and their family members or the general population. The aim of this study was to utilise a discrete choice experiment (DCE) methodology to determine the preferences of people living in residential care, their family members, and the general population for both environmental and care characteristics of long-term residential care services.
A DCE survey was administered to people living in residential care or their family members (n=545) and members of the general population (n=701). The data were analysed using a mixed logit model that takes participants’ preference heterogeneity into account. The findings indicate that all six attributes investigated were statistically significant factors for participants. Feeling at home in their own room and care staff being able to spend enough time with residents were the two most important characteristics to residents and their family members and the general population sample. Feeling at home in shared spaces, and staff being very flexible in care routines were also highly preferred by residents or their family members. Staff flexibility with care routines, and being able to spend enough time with residents, and having access to outside and gardens were highly important to general population participants. In summary, the findings indicate that preferences for nursing homes are highly influenced by the desire to preserve individuality in the physical environment; the promotion of flexibility in care routines; and workforce planning to ensure that the amount of time that care staff have to be engaged with residents is maximized.
Objectives: To investigate the key parental drivers of choice for the influenza vaccine for children in Australia, with particular focus on mode of administration (i.e. injection vs intranasal).
Methods: A sample of 828 parents provided data in November 2015, collected through an online survey using state-of-the-art choice experiments. In the survey parents were asked to trade off both injectable and intranasal influenza vaccines with different features to ascertain what is most important to them when making decisions for their child. Data were modelled using a Latent Class Model (LCM). The LCM allows for preference heterogeneity which is handled via a discrete distribution.
Results: The most important features to parents when choosing a vaccination were mode of administration, cost and doctor recommendation. Scenarios are presented for four different child age bands, with outcomes measured as a change in consumer surplus. Consumer surplus (otherwise known as Total Willingness to Pay) represents a measure of the additional benefits that an alternative brings to a market, and is often interpreted as the total value of the alternative. Consumer surplus results show that having an intranasal option available generates an additional benefit over only having an injectable option (holding everything else constant), equivalent to a weighted consumer surplus of approximately AUD$31 per child, per season.
Conclusions: The results show when it comes to choosing an influenza vaccine for their child, parents highly value an intranasal mode of administration, are very cost sensitive and are heavily influenced by doctor recommendation. This study highlights how consumer surplus can be used to measure the value of non-health outcomes. Evidence from these types of studies can be used in health technology assessment to provide measurement of patient preferences for use in decision making by regulatory / healthcare governing bodies. Supported by AstraZeneca
This paper evaluates health insurance policy selection using a discrete choice experiment closely calibrated to the Australian private health insurance market. The experimental approach overcomes some limitations of revealed preference research. The results indicate that consumers are likely to make choices that violate expected utility theory, use heuristic decision strategies, and over-insure relative to minimising out-of-pocket costs. Decision quality is significantly lower when choosing a bundled hospital/ancillaries health insurance policy (compared to stand-alone ancillaries cover), which is the policy type most consumers purchase in Australia.
Objective: This study aimed to determine preferences and willingness to pay (WTP) for a range of food processing technologies.
Consumers were presented with hypothetical food choices based on different processing techniques (organic, genetically modified, irradiated, and engineered nano-technology). Evidence suggests that people favour organic food and avoid GM foods, however, little is known about attitudes towards other processing technologies. Other attributes in the DCE included shelf-life, country of origin, price, certification label and risk of foodborne illness.
Method: Online survey was completed by 1,503 respondents. Each respondent faced 16 choice sets for two products (cheese and frozen berries). The analysis was conducted using clogit, mixed logit and generalised multinomial logit models (G-MNL) to account for scale and preference heterogeneity. A best fit model was selected based on the three measures of fit (log-likelihood, AIC and BIC) and estimates of WTP were calculated.
Results: In general consumers preferred lower price, lower risk of foodborne illness and Australian produced and certified products. Most consumers viewed food processing technologies negatively, and preferred conventional and organic products. The estimated WTP in the G-MNL model showed that consumers would pay a small premium to buy organic food (under $2), and would require a price discount to accept other technologies ($3-$5). To accept food from China, respondents indicated that the product would need to be $10 cheaper than the Australian equivalent. This study demonstrates that consumers have strong preferences for the way that food is processed; however it is unclear whether consumers considered the positives aspects of food processing, such as reduced pesticide use or improved yield when making their choices.
While much is now known about the effects of macroeconomic conditions in the place where people live on their health, we know little about how and to what extent macroeconomic fluctuations in the place where people do not live but are, in some way, connected to, can affect their health. This paper is the first to examine the impact of macroeconomic conditions in the country of emigration on mental health of international immigrants. We use an econometrically-robust approach that exploits exogenous changes in macroeconomic conditions across immigrants’ home countries over time and controls for immigrants’ observable and unobservable characteristics. We use 12 years of data from the Household Income and Labour Dynamics in Australia panel and macroeconomic indicators for 52 countries of origin. We provide the first solid empirical evidence that better economic performances by immigrants’ countries of origin, as measured by lower CPI or higher GDP, improve immigrants’ mental health. Furthermore, the CPI effect is statistically significant and sizeable. The CPI effect also diminishes over time, suggesting that the effects on immigrants are lower the longer it is since they emigrated. By contrast, home countries’ unemployment rates and exchange rate fluctuations have no impact on immigrants’ mental health.
Introduction: Many treatments are evaluated using quasi-experimental pre-post studies susceptible to regression to the mean (RTM). Ignoring RTM could bias the economic evaluation. We investigated this issue using the contemporary example of total knee replacement (TKR), a common treatment for end-stage osteoarthritis of the knee.
Methods: Data (n= 4,796) were obtained from the Osteoarthritis Initiative database, a longitudinal observational study of osteoarthritis. TKR patients (n=184) were matched to non-TKR patients, using propensity score matching on the predicted hazard of TKR, and exact matching on osteoarthritis severity and health-related quality of life (HrQoL). The economic evaluation using the matched control group was compared to the standard method of using the pre-surgery score as the control.
Results: Matched controls were identified for 56% of the primary TKRs. The matched control HrQoL trajectory showed evidence of RTM accounting for up to half of the estimated QALY gains from surgery using the pre-surgery HrQoL as the control. Incorporating RTM into the economic evaluation significantly reduced the estimated cost-effectiveness of TKR and increased the uncertainty. A generalized ICER bias correction factor was derived to account for RTM in cost-effectiveness analysis.
Conclusion: RTM should be considered in economic evaluations based on quasi-experimental pre-post studies.
Overweight and obesity in childhood increase the risk of childhood health problems including hypertension and type 2 diabetes and can lead to lowered self-esteem, depression, and other psychosocial problems. Although an increasing literature demonstrates that a significant relationship exists between childhood obesity and health care costs, there is limited evidence on whether this correlation is causal. Obesity may be endogenous to health care costs due to unobserved factors that may cause both obesity and higher health care utilisation. For example, depression (which may be undiagnosed) may be associated with both weight again and higher health care utilisation. In this study we estimate the effect of childhood obesity on pharmaceutical and medical care costs incurred by the Australian Government using 6 waves of panel data from the Longitudinal Study of Australian Children, which is linked to Medicare Australia data. We employ a range of techniques including fixed-effects and instrumental variables (IV) estimators to address concerns about the endogeneity of obesity. In the IV models, we exploit the genetic variation in obesity as instruments. The results suggest a strong association between obesity and health care costs, which holds for some groups of children when we account for endogeneity concerns. We discuss the implications of our estimates for the economic rationale for government-funded obesity reduction policies.
Background and Objectives
High maternity-related health care spending is often cited as an important barrier in utilizing quality health care during pregnancy and childbirth. This study has two objectives: (i) to measure the levels of expenditure on total maternity care in disaggregated components such as ANCs, PNCs, and Natal care expenditure; (ii) to quantify the extent of catastrophic maternity expenditure (CME) incurred by households and identify the factors responsible for it.
Methods and Findings
Data from the 71st round of the National Sample Survey (2014) was used to estimate maternity expenditure and its predictors. CME was measured as a share of consumption expenditure by different cut-offs. The two-part model was used to identify the factors associated with maternity spending and CME. The findings show that household spending on maternity care (US$ 149 in constant price) is much higher than previous estimates (US$ 50 in constant price). A significant proportion of households in India (51%) are incurring CME. Along with economic and educational status, type of health care and place of residence emerged as significant factors in explaining CME.
Findings from this study assume importance in the context of an emerging demand for higher maternity entitlements and government speding on public health care in India. To reduce CME, India needs to improve the availability and accessibility of better-quality public health services and increase maternity entitlements in line with maternity expenditure identified in this study.
Deborah Schofield; Rupendra Shrestha; Michelle Cunich; Dr Emily Callander
The Commonwealth Government announced in the 2015 budget that, in addition to increasing age eligibility for the Age Pension (official retirement-age) to 67 years by 2023, it plans to further increase eligibility to 70 years by 2035. Justification for these increases centred on increasing longevity, and costs of pension payments, health and aged care. However, the capacity of people to work not only depends on employment opportunities, but their health capacity. The aim of this study is to determine who is likely to be able to keep working until age 70.
We re-weighted the records of the population aged 45-69 years from the Australian Bureau of Statistics’ Surveys of Disability, Ageing and Carers 2009 and 2012 to reflect the population profile in 2015. We used a logistic regression model and Monte Carlo simulation to simulate the labour force status for each individual in 65-69 age group.
If the retirement-age was lifted to age 70, we estimated that, in 2015, the number of people aged 65-69 years who are likely to be not in the labour force would decrease to 627,700 from the estimated 818,970 under the current scenario. However, the percentage of those who would leave the labour force due to their ill-health among those not in the labour force would increase to 15.6% (97,700) from the current estimate of 1.5% (12,000). The five main chronic conditions likely to keep most people out of the labour force are: arthritis, back problems, diseases of the musculoskeletal system, diabetes, tumours/cancers.
This study provides evidence about the work capacity of people aged 65-69. This information can be used to develop policy consistent with the identifiable work capacity of individuals, rather than â€œassumed work capacityâ€ based on increased longevity.The Commonwealth Government announced in the 2015 budget that, in addition to increasing age eligibility for the Age Pension (official retirement-age) to 67 years by 2023, it plans to further increase eligibility to 70 years by 2035. Justification for these increases centred on increasing longevity, and costs of pension payments, health and aged care. However, the capacity of people to work not only depends on employment opportunities, but their health capacity. The aim of this study is to determine who is likely to be able to keep working until age 70.
Aims: Review the literature to identify productivity measures in osteoarthritis (OA) studies; the scale of productivity costs captured; and determine productivity measures not captured.
Methods: A targeted literature search on Medline, Cochrane Library, EMBASE, Expanded Academic, Econlit (1/1/2010-11/6/2015) was undertaken for OA studies estimating productivity losses. Searches on productivity costs (e.g. labour, retire, financial, societal, time-off-work, carer, presenteeism, absenteeism, sick leave, employment, job, worker’s compensation, childcare, income, pension, productivity) and osteoarthritis in humans were undertaken by SW, MC. Original, peer-reviewed research-articles in English, published in the last 5 years, were deemed appropriate if they were interventions or cost of illness studies involving adults with OA with productivity as a key outcome.
Results: Search yielded 63 full-texts; 25 interventions, 37 cost of illness, 1 policy document. A range of methods had been used to estimate productivity losses, from a single question (such as time to return to work) to established questionnaires/instruments where several aspects of productivity were evaluated (such as the Work Productivity and Activity Impairment Questionnaire). However, many of the productivity measures from these questionnaires have only been assessed for face/content validity and feasibility in the last few years. Only 8 intervention studies and 4 cost of illness studies valued productivity losses. Available instruments had major limitations: no capacity to monetarise productivity impacts, excluded critical subpopulations (e.g. those out of the workforce due to OA), excluded obvious major costs (e.g. lost income) and other major costs (e.g. welfare, tax), and did not include a measure of productivity that could effectively be used in the translation to policy.
Conclusions: Productivity measures not captured were lost labour force participation and income for individuals, extra welfare payments and lost taxation revenue for government, and lost GDP.
Next-generation sequencing (NGS) is a new tool in the management of cancer patients’ care. Genetic profiling by NGS is especially useful for oncologist in formulating targeted therapy strategy. However, the evidence of cost-effectiveness of the integration of NGS into cancer treatment programs is scarce. We undertook a systematic review of the published literature evaluating the cost-effectiveness of the use of NGS in planning targeted therapy for cancer patients. We systematically searched for articles that include cancer, NGS, and cost-effectiveness from both PubMed and EMBASE and included the articles that provided a measure of relative economic value through the application of NGS. The review only found three articles that undertook the cost-effectiveness analysis of the use of NGS in cancer care and all three articles reported that sequencing a panel of clinically relevant or actionable genes at diagnosis using NGS is cost-effective. . Our systematic review shows that there are very limited cost-effectiveness studies of the NGS application in cancer treatment planning suggesting a significant gap in knowledge about the cost-effectiveness of the NGS application in cancer care.,/p>
We are developing a microsimulation model to assess the cost-effectiveness of the use of NGS to formulate the targeted therapy for cancer patients. The model will use the survival data and cost of treatments from the published literatures together with the data linked by the Centre for Health Record Linkage (CHeReL) (including data from NSW cancer registries, NSW admitted patient registries, National death registry, NSW Perinatal Death registries and caused of death registries). The CHeReL dataset will also be linked to Pharmaceutical Benefits Scheme (PBS) and Medicare Benefits Schedule (MBS) to evaluate the medical cost of the disease. We will present the findings of our systematic review and discuss the data source and methodology of our microsimulation model in this presentation.Next-generation sequencing (NGS) is a new tool in the management of cancer patients’ care. Genetic profiling by NGS is especially useful for oncologist in formulating targeted therapy strategy. However, the evidence of cost-effectiveness of the integration of NGS into cancer treatment programs is scarce. We undertook a systematic review of the published literature evaluating the cost-effectiveness of the use of NGS in planning targeted therapy for cancer patients. We systematically searched for articles that include cancer, NGS, and cost-effectiveness from both PubMed and EMBASE and included the articles that provided a measure of relative economic value through the application of NGS. The review only found three articles that undertook the cost-effectiveness analysis of the use of NGS in cancer care and all three articles reported that sequencing a panel of clinically relevant or actionable genes at diagnosis using NGS is cost-effective. . Our systematic review shows that there are very limited cost-effectiveness studies of the NGS application in cancer treatment planning suggesting a significant gap in knowledge about the cost-effectiveness of the NGS application in cancer care.
As part of a prospective study on the “Integration of genomic sequencing into clinical care” at the Royal Children’s Hospital in Melbourne, Australia, we undertook a detailed survey of the social and economic impacts of childhood syndromes of suspected monogenetic origin among the infants aged 0-2 years. In this paper, we report on the first wave of our survey on the quality of life impacts on the parents, their current labour force participation and income, impacts on their family planning behaviour, the parental marital relationship and social connectedness. Preliminary analyses show that 54% of the infants experienced hospitalisations in the last 12 months. The data also show that 68% parents were compelled to work part-time, and 18% are not in labour force at all. An assessment of the quality of life (AQoL-8D) of the parents shows their average overall utility score to be 0.71 (sd=0.21). Although their physical health score is close to the overall utility score (mean=0.76, SD 0.21), their mental health score is nearly half of the overall utility score (mean=0.38, sd=0.21). More than half of the parents (54%) have concerns of a further recurring genetic disorder among their future children, and 82% are taking steps to avoid pregnancy. However, two-thirds of the parents maintain healthy parental relationship.
Aims: The main objective of this study was to empirically investigate the association between personality traits and self-reported health-related quality of life (HRQoL).
Methods: The 9th and 13th waves of the HILDA survey were used. Personality is classified according to the Big Five’ taxonomy: emotional stability, extraversion, openness to experience, agreeableness and conscientiousness. HRQoL was measured using the SF-36 which generates eight summary scores including physical functioning, role-physical, bodily pain, general health, vitality, social functioning, role-emotional, and mental health. Each of the eight dimensions was treated as separate dependent variables in regression models. Both OLS and fixed-effects estimators were adopted for the analysis. Quantile regression techniques (for both cross-sectional and panel data) were also used to explore the association between personality traits across the distribution of self-reported HRQoL.
Results: In general, after controlling for an objective health measure (e.g. serious medical conditions informed by doctors/nurses) and an extensive set of socio-demographic characteristics, emotional stability and conscientiousness consistently demonstrated a significant positive association with all eight SF-36 dimensions in both waves. Overall, emotional stability was found to be the dominant trait in terms of the magnitude of association. Next, interaction terms between each of five personality traits and the objective health indicator were generated and included into the regression. The key result of the fixed-effects estimates indicated that conditional on the same objective health status, higher emotional stability was associated with relatively higher scores for the majority of the SF-36 dimensions (with the largest differences evident for the RE dimension).
Conclusions: Personality traits, especially emotional stability, are significantly associated with the way in which respondents self-report their HrQoL utilising the SF-36. Further investigation of the relationships between personality traits and assessment of HrQoL is warranted.
Aims: A variety of economic, sociological and psychological factors have previously been shown to predispose individuals and populations to increased or reduced health care utilisation. However little evidence is currently available on the associations between personality traits and health care utilisation. The main aim of this study was to investigate the relationships between personality traits and health care utilisation in the Australian population.
Methods: Data for 22,266 individuals (53% female; mean age 44 years) who participated in waves 9 and 13 of the Household, Income and Labour Dynamics in Australia (HILDA) Survey were used. Using cross-sectional and panel logit regression models, we explored the relationship between the â€œBig Fiveâ€ personality traits (Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness) and health care utilisation including health check-ups or tests, doctor (in both primary and secondary care) and other allied-health provider visits. The regression models were based on the Andersen behavioural model of health care utilization and controlled for predisposing characteristics (e.g. age), enabling factors (e.g. income) and need factors (e.g. general health).
Results: Cross-sectional regression models indicated stability of results over the two waves. Random-effects panel regression models showed that Extraversion and Agreeableness had a statistically significant positive relationship with all types of health care utilisation. Conscientiousness was negatively correlated to having health check-ups/tests or seeing a primary care doctor while Openness to Experience was shown to have a positive statistically significant relationship with seeing allied-health providers and a negative one with having health check-ups/tests.
Conclusions: Personality traits are associated with Australians’ use of many health care services. Person-centred interventions incorporating personality psychology may need to be considered in the future planning of Australian health care programs.
Aims: To assess the acceptability and validity of self-reported generic (EQ-5D-5L) and condition-specific (DEMQOL-U) preference-based HRQoL measures in the residential aged care setting, where the population is characterised by high rates of cognitive impairment, dementia and disability.
Methods: This study was nested in a large cross-sectional, observational study to evaluate specialised dementia services currently provided in residential aged care in Australia. HRQoL was assessed by utilising the EQ-5D-5L and DEMQOL instruments. A battery of clinical outcome measures were applied to assess cognition, physical function, and neuropsychological symptoms. Spearman’s rank order correlations were used to examine the strength of association between HRQoL dimensions and clinical measures. Bland-Altman plots were generated to graphically assess agreement between the EQ-5D-5L and DEMQOL-U utilities.
Results: A total of 901 older people currently residing in 17 residential aged care facilities were approached, 541 consented (either directly or via a proxy) to participate. Of these, 143 participants completed both the EQ-5D-5L and DEMQOL instruments. Correlations between the EQ-5D-5L and DEMQOL-U were low to negligible across all dimensions. Physical functioning showed a moderately strong correlation with the EQ-5D-5L index. Higher levels of cognitive impairment were associated with lower EQ-5D-5L utilities. Neuropsychological symptoms were found to be weakly correlated with the DEMQOL-U index.
Conclusions: Our data suggest that the DEMQOL-U and EQ-5D-5L capture distinct aspects of HRQoL which complement typical clinical outcome measures applied in residential care. Whilst HRQoL forms an important outcome for quality assessment and economic evaluation, high levels of cognitive impairment may preclude self-completion for a majority of residents. It is therefore important that complementary strategies are developed to support self-reported HRQoL in this setting.