Melbourne Institute of Applied Economic and Social Research - Research Publications
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ItemEditors' introduction(WILEY, 2017-09)
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ItemEuropean and Australasian Econometrics and Health Economics Workshop papers Introduction(WILEY-BLACKWELL, 2016-09)
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ItemHours worked by general practitioners and waiting times for primary care(WILEY, 2018-10)The decline in the working hours of general practitioners (GPs) is a key factor influencing access to health care in many countries. We investigate the effect of changes in hours worked by GPs on waiting times in primary care using the Medicine in Australia: Balancing Employment and Life longitudinal survey of Australian doctors. We estimate GP fixed effects models for waiting time and use family circumstances to instrument for GP's hours worked. We find that a 10% reduction in hours worked increases average patient waiting time by 12%. Our findings highlight the importance of GPs' labor supply at the intensive margin in determining the length of time patients must wait to see their doctor.
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ItemAccuracy of patient recall for self-reported doctor visits: Is shorter recall better?(WILEY, 2018-11)In health economics, the use of patient recall of health care utilisation information is common, including in national health surveys. However, the types and magnitude of measurement error that relate to different recall periods are not well understood. This study assessed the accuracy of recalled doctor visits over 2-week, 3-month, and 12-month periods by comparing self-report with routine administrative Australian Medicare data. Approximately 5,000 patients enrolled in an Australian study were pseudo-randomised using birth dates to report visits to a doctor over three separate recall periods. When comparing patient recall with visits recorded in administrative information from Medicare Australia, both bias and variance were minimised for the 12-month recall period. This may reflect telescoping that occurs with shorter recall periods (participants pulling in important events that fall outside the period). Using shorter recall periods scaled to represent longer periods is likely to bias results. There were associations between recall error and patient characteristics. The impact of recall error is demonstrated with a cost-effectiveness analysis using costs of doctor visits and a regression example predicting number of doctor visits. The findings have important implications for surveying health service utilisation for use in economic evaluation, econometric analyses, and routine national health surveys.
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ItemValuing Benefits to Inform a Clinical Trial in Pharmacy Do Differences in Utility Measures at Baseline Affect the Effectiveness of the Intervention?(ADIS INT LTD, 2013)BACKGROUND: The generic health-related quality-of-life (HR-QOL) utility measures the EQ-5D and SF-6D are both commonly used to inform healthcare policy developments. However, their application to pharmacy practice is limited and the optimal method to inform policy developments is unknown. OBJECTIVES: Our objective was to test the sensitivity of the EQ-5D and SF-6D within pharmacy when measuring whether changes in health status or other co-variates at baseline affect the effectiveness of the intervention at follow-up. A further objective was to consider the implications of the findings for pharmacy research and policy. METHODS: The EQ-5D and SF-6D utility measures were employed within a randomized controlled trial (RCT) of community pharmacy-led medicines management for patients with coronary heart disease. The intervention covered a baseline visit with the potential for follow-up. Simultaneous quantile regression assessed the impact of the intervention on both EQ-5D and SF-6D measures at follow-up, controlling for baseline health, appropriateness of treatment, personal characteristics and self-reported satisfaction. RESULTS: No statistically significant difference in HR-QOL across the intervention and control groups at follow-up was reported for either measure. Increased health gain was however associated with the baseline utility score (with the EQ-5D more sensitive for those in worse health) and the appropriateness of treatment, but not patient characteristics or self-reported satisfaction. CONCLUSION: Neither generic measure detected a gain in HR-QOL as a result of the introduction of an innovative pharmacy-based service. This finding supports other work in the area of pharmacy, where health gains have not changed following interventions. Disease-specific utility measures should be investigated as an alternative to generic approaches such as the EQ-5D and SF-6D. Given that the RCT found an increase in self-reported satisfaction, broader measures of benefit that value patient experiences, such as contingent valuation and discrete-choice experiments, should also be considered in pharmacy.
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ItemAn RCT protocol of varying financial incentive amounts for smoking cessation among pregnant women(BMC, 2012-11-27)BACKGROUND: Smoking during pregnancy is harmful to the unborn child. Few smoking cessation interventions have been successfully incorporated into standard antenatal care. The main aim of this study is to determine the feasibility of a personal financial incentive scheme for encouraging smoking cessation among pregnant women. DESIGN: A pilot randomised control trial will be conducted to assess the feasibility and potential effectiveness of two varying financial incentives that increase incrementally in magnitude ($20 vs. $40AUD), compared to no incentive in reducing smoking in pregnant women attending an Australian public hospital antenatal clinic. METHOD: Ninety (90) pregnant women who self-report smoking in the last 7 days and whose smoking status is biochemically verified, will be block randomised into one of three groups: a. No incentive control group (n=30), b. $20 incremental incentive group (n=30), and c. $40 incremental incentive group (n=30). Smoking status will be assessed via a self-report computer based survey in nine study sessions with saliva cotinine analysis used as biochemical validation. Women in the two incentive groups will be eligible to receive a cash reward at each of eight measurement points during pregnancy if 7-day smoking cessation is achieved. Cash rewards will increase incrementally for each period of smoking abstinence. DISCUSSION: Identifying strategies that are effective in reducing the number of women smoking during pregnancy and are easily adopted into standard antenatal practice is of utmost importance. A personal financial incentive scheme is a potential antenatal smoking cessation strategy that warrants further investigation. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) number: ACTRN12612000399897.
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ItemLoss aversion, reference dependence and diminishing sensitivity in choice experiments(Elsevier, 2020-12-01)This paper tests for the existence of loss aversion, reference dependence and diminishing sensitivity in a discrete choice experiment (DCE). A status quo alternative is introduced in a DCE of nurses' job choices and modeled as an individual-specific third alternative representing the respondent's current job. This provides a feasible method for including a status quo, which changes the reference point for each respondent. The increased salience of the status quo changes the size of any losses or gains when comparing Job A or Job B with their current situation, and since losses are valued more than gains, affects the marginal utility of each attribute. Models that differentially incorporate loss aversion, reference dependence and changes in sensitivity yield varying estimates of marginal rates of substitution, suggesting that consideration of these effects is important, particularly when policy implications are sought.
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ItemDeterminants of successful clinical networks: the conceptual framework and study protocol(BIOMED CENTRAL LTD, 2012-03-13)BACKGROUND: Clinical networks are increasingly being viewed as an important strategy for increasing evidence-based practice and improving models of care, but success is variable and characteristics of networks with high impact are uncertain. This study takes advantage of the variability in the functioning and outcomes of networks supported by the Australian New South Wales (NSW) Agency for Clinical Innovation's non-mandatory model of clinical networks to investigate the factors that contribute to the success of clinical networks. METHODS/DESIGN: The objective of this retrospective study is to examine the association between external support, organisational and program factors, and indicators of success among 19 clinical networks over a three-year period (2006-2008). The outcomes (health impact, system impact, programs implemented, engagement, user perception, and financial leverage) and explanatory factors will be collected using a web-based survey, interviews, and record review. An independent expert panel will provide judgements about the impact or extent of each network's initiatives on health and system impacts. The ratings of the expert panel will be the outcome used in multivariable analyses. Following the rating of network success, a qualitative study will be conducted to provide a more in-depth examination of the most successful networks. DISCUSSION: This is the first study to combine quantitative and qualitative methods to examine the factors that contribute to the success of clinical networks and, more generally, is the largest study of clinical networks undertaken. The adaptation of expert panel methods to rate the impacts of networks is the methodological innovation of this study. The proposed project will identify the conditions that should be established or encouraged by agencies developing clinical networks and will be of immediate use in forming strategies and programs to maximise the effectiveness of such networks.
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ItemThe impact of price transparency on consumers and providers: A scoping review(Elsevier, 2020-08-01)Escalating levels of healthcare spending and price variation in the healthcare market have driven government and insurer interest in price transparency tools that are intended to help consumers shop for services and reduce overall healthcare spending. However, it is unclear whether the objectives of price transparency are being achieved. We conducted a scoping review to synthesize the impact of price transparency on consumer, provider, and purchaser behaviours and outcomes. Price transparency tools had weak impact overall on consumers due to low uptake, and mixed effects on providers. Price-aware patients chose less costly services that led to out-of-pocket cost savings and savings for health insurers; however, these savings did not translate into reductions in aggregate healthcare spending. Disclosure of list prices had no effect, however disclosure of negotiated prices prompted supply-side competition which led to decreases in prices for shoppable services.
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ItemDoes digital health technology improve physicians' job satisfaction and work-life balance? A cross-sectional national survey and regression analysis using an instrumental variable(BMJ Journals, 2020-01-01)Objectives To examine the association between physicians’ use of digital health technology and their job satisfaction and work–life balance. Design A cross-sectional nationally representative survey of physicians and probit regression models were used to examine the association between using digital health technology and the probability of reporting high job satisfaction and a good work–life balance. Models included a rich set of covariates, including physicians’ personality traits, and instrumental variable analysis was used to control for bias from unobservable confounders and reverse causality. Setting Clinical practice settings in Australia, including physicians working in primary care, hospitals, outpatient settings, and physicians working in the public and private sectors. Participants Respondents to wave 11 (2018–2019) of the Medicine in Australia: Balancing Employment and Life (MABEL) longitudinal survey of doctors. The analysis sample included a broadly nationally representative sample of 7043 physicians, including general practitioners, specialists and physicians in training. Primary and secondary outcome measures The proportion of respondents who used any digital health technology; proportion answered ‘moderately satisfied’ or ‘very satisfied’ to the statement on job satisfaction: ‘Taking everything into account, how do you feel about your work’; proportion agreeing or strongly agreeing to the statement on work–life balance: ‘The balance between my personal and professional commitments is about right.’ Results Physicians with positive beliefs about the effectiveness of using digital health technology were 3.8 percentage points (95% CI 2.7 to 5.0) more likely to use digital health technology compared with those who did not. Physicians with colleagues who already used digital health technology were also 4.1 percentage points (95% CI 2.6 to 5.6) more likely to use digital health technology. The availability of IT support and lack of privacy concerns increased the probability of using digital health technology by 1.6 percentage points (95% CI 1.0 to 2.3) and 0.5 percentage points (95% CI 0.1 to 1.0). Physicians who used digital health technology were 14.2 percentage points (95% CI −1.3 to 29.7) and 20.3 percentage points (95% CI 2.4 to 38.1) more likely to report respectively higher job satisfaction and good work–life balance, compared with the physicians who did not use it. Conclusions Findings suggested digital health technology served more as a work resource than work demand for physicians who used it.
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