Melbourne Institute of Applied Economic and Social Research - Research Publications
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ItemEuropean and Australasian Econometrics and Health Economics Workshop papers Introduction(WILEY-BLACKWELL, 2016-09)
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ItemUsing discrete choice experiments as a decision aid in total knee arthroplasty: study protocol for a randomised controlled trial(BMC, 2016-08-19)BACKGROUND: Osteoarthritis (OA) is a leading cause of disability in developed nations. Total knee arthroplasty (TKA) is a clinically effective treatment for people with end-stage knee OA, and represents one of the highest volume medical interventions globally. However, up to one in three patients remain dissatisfied following TKA. Research indicates that the strongest predictor of patient dissatisfaction following TKA is unmet expectations. This study will use a discrete choice experiment (DCE) provided to patients to improve knowledge of the expected outcomes of TKA. This increased knowledge is based on actual outcome data and is hypothesised to optimise patient expectations of TKA outcomes, thereby increasing their satisfaction and self-reported health outcomes. METHODS/DESIGN: One hundred and thirty-two people with end-stage OA on the waiting list for TKA will be recruited and randomly allocated to one of two groups using computer-generated block randomisation. A randomised controlled trial (RCT) adhering to SPIRIT and CONSORT guidelines will evaluate the effect of administering a DCE prior to surgery on patient-reported pain and function and satisfaction following TKA. Patients in the intervention arm will complete a survey containing the DCE, compared to the control group who will complete a modified survey that does not contain the DCE activity. The DCE contains information on actual risks of postoperative complications, as well as health status after TKA. The DCE encourages patients to actively make trade-offs between risks and health outcomes to elicit their preferences. Participants in both groups will be required to complete the survey after consenting to have the procedure, but prior to surgery during their routine preadmission appointment at St. Vincent's Hospital, Melbourne, Australia (SVHM). Patients in both the intervention and control groups will also be required to complete a brief patient expectation survey 1 week prior to scheduled TKA. In addition, orthopaedic surgeons will complete a brief expectations survey for each patient consented for TKA to compare matched surgeon and patient expectations for recovery following TKA. Primary outcomes will be evaluated by a blinded examiner at 12 months post surgery using a validated self-reported pain and physical function scale, and a validated patient satisfaction scale. Secondary outcomes will include a range of validated measures of health and psychological wellbeing. All analyses will be conducted on an intention-to-treat basis using linear regression models. DISCUSSION: This study is the first of its kind to use a DCE to provide information to patients to optimise their expectations of the outcomes of surgery. Reducing the rate of patient dissatisfaction commonly seen in patients following TKA will help to reduce the burden associated with poor outcomes on the health system. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ( ACTRN12615001226594p ). Version 1; registered on 9 November 2015.
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ItemA Man's Blessing or a Woman's Curse? The Family Earnings Gap of Doctors(WILEY, 2016-07)We examine the size and determinants of the family earnings gap for Australian general practitioners (GPs). Female GPs with children earn more than $30,000 less than comparable female GPs without children, while male GPs with children earn more than $45,000 more than comparable male GPs without children. The main determinants of the family gap are differences in observable characteristics such as working hours, labor‐force attachment, and demographics, and additionally, for men, entrepreneurship and practice size. A fixed‐effects extension of the analysis confirms both the carer effect of children on female GPs and the breadwinner effect of children on male GPs.
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ItemCompetition, prices and quality in the market for physician consultations(Wiley, 2016-04)Prices for consultations with General Practitioners (GP's) in Australia are unregulated, and patients pay the difference between the price set by the GP and a fixed reimbursement from the national tax-funded Medicare insurance scheme. We construct a Vickrey-Salop model of GP price and quality competition and test its predictions using individual GP-level data on prices, the proportion of patients who are charged no out-of-pocket fee, average consultation length, and characteristics of the GP's, their practices and their local areas. We measure the competition to which the GP is exposed by the distance to other GP practices and allow for the endogeneity of GP location decisions with measures of area characteristics and area fixed-effects. Within areas, GP's with more distant competitors charge higher prices and a smaller proportion of their patients make no out-of-pocket payment. GP's with more distant competitors also have shorter consultations, though the effect is small and statistically insignificant.
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ItemThe supply of general practitioners across local areas: accounting for spatial heterogeneity(BIOMED CENTRAL LTD, 2015-10-03)BACKGROUND: The geographic distribution of general practitioners (GPs) remains persistently unequal in many countries despite notable increases in overall supply. This paper explores how the factors associated with the supply of general practitioners (GPs) are aligned with the arbitrary geographic boundaries imposed by the use of spatially referenced GP supply data. METHODS: Data on GP supply in postcodes within Australia are matched to data on the population characteristics and levels of amenities in postcodes. Tobit regression models are used that examine the associations between GP supply and postcode characteristics, whilst accounting for spatial heterogeneity. RESULTS: The results demonstrate that GPs do not consider space in a one-dimensional sense. Location choice is related to both neighbourhood-specific factors, such as hospitals, and broader area factors, such as area income and proximity to private schools. Although the proportion of females and elderly were related to GPs supply, mortality rate was not. CONCLUSIONS: This paper represents the first attempt to map the factors influencing GP supply to the appropriate geographic level at which GPs may be considering that factor. We suggest that both neighbourhood and broader regional characteristics can influence GPs' locational choices. This finding is highly relevant to the design and evaluation of relocation incentive programmes.