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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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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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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ItemFactors affecting general practitioners' decisions to adopt new prescription drugs - Cohort analyses using Australian longitudinal physician survey data(BioMed Central, 2019-02-07)Background: We investigate factors affecting Australian general practitioners' decisions to adopt novel oral anticoagulants (NOACs) for the prevention of stroke/systemic embolism among patients with atrial fibrillation. Australia has a national homogeneous review and coverage system, which enables us to distinguish physician level factors while maintaining system level factors and patient coverage information constant. Methods: We conduct a cohort analyses by using longitudinal physician survey data from the Medicine in Australia: Balancing Employment and Life panel survey of Australian physicians (MABEL). MABEL data contain rich physician-level information such as age, gender, education, risk preferences, personality, physicians' communications with other medical professionals, and other practice characteristics. Importantly, the survey data were linked, with physician's consent, to actual utilization data from the Australian Pharmaceutical Benefits Scheme and the Medicare Benefits Schedule between January 1, 2012 and December 31, 2015. We measure speed (days until first time prescribing) of adopting NOACs. We estimate a Cox proportional hazard model to estimate factors affecting the adoption speed. Results: Several factors predict earlier adoption of NOACs: being male, more likely to take clinical risk, higher prescribing volume, being a principal or partner in the practice instead of an employee, spending less time in a typical consultation, and practicing in more affluent areas or areas with a higher proportion of older patients. GPs in Queensland are more likely to adopt NOACs and more likely to be extensive early adopters compared to other GPs. Other characteristics including physician personality, family circumstances, their involvement with public hospitals and teaching activities, and the distance between physician practice location to other clinics in the area are not statistically associated with earlier adoption. Conclusions: Our paper is one of the first to study the relationship between GPs' risk preferences, personality and their decisions to adopt new prescription drugs. Because NOACs are commonly prescribed and considered more cost-effective than their older counterpart, understanding factors affecting physicians' decisions to adopt NOACs has direct policy implications. Our results also highlight that even with universal coverage for prescription drugs, access to new drugs is different among patients, partially because who their doctors are and where they practice.
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ItemThe role of financial factors in the mobility and location choices of General Practitioners in Australia(BioMed Central, 2019-05-24)Background The geographic distribution of health workers is a pervasive policy concern. Many governments are responding by introducing financial incentives to attract health care workers to locate in areas that are underserved. However, clear evidence of the effectiveness of such financial incentives is lacking. Methods This paper examines General Practitioners’ (GPs) relocation choices in Australia and proposes a dynamic location choice model accounting for both source and destination factors associated with a choice to relocate, thereby accounting for push and pull factors associated with job separation. The model is used to simulate financial incentive policies and assess potential for such policies to redistribute GPs. This paper examines the role of financial factors in relocating established GPs into neighbourhoods with relatively low socioeconomic status. The paper uses a discrete choice model and panel data on GPs’ actual changes in location from one year to the next. Results This paper finds that established GPs are not very mobile, even when a financial incentive is offered. Policy simulation predicts that 93.2% of GPs would remain at their current practice and that an additional 0.8% would be retained or would relocate in a low-socioeconomic status (SES) neighbourhood in response to a hypothetical financial incentive of a 10% increase in the earnings of all metropolitan GPs practising in low-SES neighbourhoods. Conclusion With current evidence on the effectiveness of redistribution programmes limited to newly entering GPs, the policy simulations in this paper provide an insight into the potential effectiveness of financial incentives as a redistribution policy targeting the entire GP population. Overall, the results suggest that financial considerations are part of many factors influencing the location choice of GPs. For instance, GP practice ownership played almost as important a role in mobility as earnings.
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ItemPrimary care physicians and infant mortality: Evidence from Brazil(Public Library of Science (PLoS), 2019-05-31)Primary health care has been recognized as a critical strategy for improving population health in developing countries. This paper investigates the effect of primary care physicians on the infant mortality rate in Brazil using a dynamic panel data approach. This method accounts for the endogeneity problem and the persistence of infant mortality over time. The empirical analysis uses an eight-year panel of municipalities between 2005 and 2012. The results indicate that primary care physician supply contributed to the decline of infant mortality in Brazil. An increase of one primary care physician per 10,000 population was associated with 7.08 fewer infant deaths per 10,000 live births. This suggests that, in addition to other determinants, primary care physicians can play an important role in accounting for the reduction of infant mortality rates.