Melbourne Institute of Applied Economic and Social Research - Research Publications
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ItemSplash!: a prospective birth cohort study of the impact of environmental, social and family-level influences on child oral health and obesity related risk factors and outcomes(BIOMED CENTRAL LTD, 2011-06-27)BACKGROUND: Dental caries (decay) is the most prevalent disease of childhood. It is often left untreated and can impact negatively on general health, and physical, developmental, social and learning outcomes. Similar to other health issues, the greatest burden of dental caries is seen in those of low socio-economic position. In addition, a number of diet-related risk factors for dental caries are shared risk factors for the development of childhood obesity. These include high and frequent consumption of refined carbohydrates (predominately sugars), and soft drinks and other sweetened beverages, and low intake of (fluoridated) water. The prevalence of childhood obesity is also at a concerning level in most countries and there is an opportunity to determine interventions for addressing both of these largely preventable conditions through sustainable and equitable solutions. This study aims to prospectively examine the impact of drink choices on child obesity risk and oral health status. METHODS/DESIGN: This is a two-stage study using a mixed methods research approach. The first stage involves qualitative interviews of a sub-sample of recruited parents to develop an understanding of the processes involved in drink choice, and inform the development of the Discrete Choice Experiment analysis and the measurement instruments to be used in the second stage. The second stage involves the establishment of a prospective birth cohort of 500 children from disadvantaged communities in rural and regional Victoria, Australia (with and without water fluoridation). This longitudinal design allows measurement of changes in the child's diet over time, exposure to fluoride sources including water, dental caries progression, and the risk of childhood obesity. DISCUSSION: This research will provide a unique contribution to integrated health, education and social policy and program directions, by providing clearer policy relevant evidence on strategies to counter social and environmental factors which predispose infants and children to poor health, wellbeing and social outcomes; and evidence-based strategies to promote health and prevent disease through the adoption of healthier lifestyles and diet. Further, given the absence of evidence on the processes and effectiveness of contemporary policy implementation, such as community water fluoridation in rural and regional communities it's approach and findings will be extremely informative.
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ItemMedicine in Australia: Balancing Employment and Life (MABEL)(WILEY-BLACKWELL, 2011-03)
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ItemAustralian doctors' satisfaction with their work: results from the MABEL longitudinal survey of doctors(WILEY, 2011-01-03)OBJECTIVE: To compare the level and determinants of job satisfaction between four groups of Australian doctors: general practitioners, specialists, specialists-in-training, and hospital non-specialists. DESIGN, PARTICIPANTS AND SETTING: National cross-sectional questionnaire survey as part of the baseline cohort of a longitudinal survey of Australian doctors in clinical practice (Medicine in Australia - Balancing Employment and Life [MABEL]), undertaken between June and November 2008, including 5193 Australian doctors (2223 GPs, 2011 specialists, 351 hospital non-specialists, and 608 specialists-in-training). MAIN OUTCOME MEASURES: Job satisfaction scores for each group of doctors; the association between job satisfaction and doctor, job and geographical characteristics. RESULTS: 85.7% of doctors were moderately or very satisfied with their jobs. There were no differences in job satisfaction between GPs, specialists and specialists-in-training. Hospital non-specialists were the least satisfied compared with GPs (odds ratio [OR], 0.56 [95% CI, 0.39-0.81]). For all doctors, factors associated with high job satisfaction were a good support network (OR, 1.72 [95% CI, 1.41-2.10]), patients not having unrealistic expectations (OR, 1.48 [95% CI, 1.25-1.75]), and having no difficulty in taking time off work (OR,1.48 [95% CI, 1.20-1.84]). These associations did not vary across doctor types. Compared with GPs, on-call work was associated with lower job satisfaction for specialists (OR, 0.48 [95% CI, 0.23-0.98]) and hospital non-specialists (OR, 0.25 [95% CI, 0.08-0.83]). CONCLUSION: This is the first national survey of job satisfaction for doctors in Australia. It provides an important baseline to examine the impact of future health care reforms and other policy changes on the job satisfaction of doctors.
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ItemProfessional satisfaction in general practice: does it vary by size of community?(WILEY, 2010-07-19)OBJECTIVE: To investigate whether the level of professional satisfaction of Australian general practitioners varies according to community size and location. DESIGN, SETTING AND PARTICIPANTS: Cross-sectional, population-level national survey using results for a cohort of 3906 GPs (36% were "rural" participants) from the first wave of a longitudinal study of the Australian medical workforce, conducted between June and November 2008. Geographical differences in levels of professional satisfaction were examined using five community size categories: metropolitan, > or = 1 million residents; regional centre, 50,000-999,999; medium-large rural, 10,000-49,999; small rural, 2500-9999; and very small rural, < 2500. MAIN OUTCOME MEASURES: Level of professional satisfaction expressed by GPs working in different sized communities with respect to various job aspects. RESULTS: Professional satisfaction of GPs did not differ by community size for most aspects of the job. Overall satisfaction was high, at about 85% across all community sizes. Satisfaction with remuneration was slightly higher in smaller rural towns, even though the hours worked there were less predictable. Professional satisfaction with freedom of choosing work method, variety of work, working conditions, opportunities to use abilities, amount of responsibility, and colleagues was very high across all community sizes, while difficulties with arranging locums and the stress of running the practice were commonly reported by GPs in all community sizes. CONCLUSIONS: GPs working in different sized communities in Australia express similar levels of satisfaction with most professional aspects of their work.
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ItemThe "Medicine in Australia: Balancing Employment and Life (MABEL)" longitudinal survey - Protocol and baseline data for a prospective cohort study of Australian doctors' workforce participation(BIOMED CENTRAL LTD, 2010-02-25)BACKGROUND: While there is considerable research on medical workforce supply trends, there is little research examining the determinants of labour supply decisions for the medical workforce. The "Medicine in Australia: Balancing Employment and Life (MABEL)" study investigates workforce participation patterns and their determinants using a longitudinal survey of Australian doctors. It aims to generate evidence to support developing effective policy responses to workforce issues such as shortages and maldistribution. This paper describes the study protocol and baseline cohort, including an analysis of response rates and response bias. METHODS/DESIGN: MABEL is a prospective cohort study. All Australian doctors undertaking clinical work in 2008 (n = 54,750) were invited to participate, and annual waves of data collections will be undertaken until at least 2011. Data are collected by paper or optional online version of a questionnaire, with content tailored to four sub-groups of clinicians: general practitioners, specialists, specialists in training, and hospital non-specialists. In the baseline wave, data were collected on: job satisfaction, attitudes to work and intentions to quit or change hours worked; a discrete choice experiment examining preferences and trade-offs for different types of jobs; work setting; workload; finances; geographic location; demographics; and family circumstances. DISCUSSION: The baseline cohort includes 10,498 Australian doctors, representing an overall response rate of 19.36%. This includes 3,906 general practitioners, 4,596 specialists, 1,072 specialists in training, and 924 hospital non-specialists. Respondents were more likely to be younger, female, and to come from non-metropolitan areas, the latter partly reflecting the effect of a financial incentive on response for doctors in remote and rural areas. Specialists and specialists in training were more likely to respond, whilst hospital non-specialists were less likely to respond. The distribution of hours worked was similar between respondents and data from national medical labour force statistics. The MABEL survey provides a large, representative cohort of Australian doctors. It enables investigation of the determinants of doctors' decisions about how much, where and in what circumstances they practice, and of changes in these over time. MABEL is intended to provide an important resource for policy makers and other stakeholders in the Australian medical workforce.
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ItemA randomised trial and economic evaluation of the effect of response mode on response rate, response bias, and item non-response in a survey of doctors(BIOMED CENTRAL LTD, 2011-09-05)BACKGROUND: Surveys of doctors are an important data collection method in health services research. Ways to improve response rates, minimise survey response bias and item non-response, within a given budget, have not previously been addressed in the same study. The aim of this paper is to compare the effects and costs of three different modes of survey administration in a national survey of doctors. METHODS: A stratified random sample of 4.9% (2,702/54,160) of doctors undertaking clinical practice was drawn from a national directory of all doctors in Australia. Stratification was by four doctor types: general practitioners, specialists, specialists-in-training, and hospital non-specialists, and by six rural/remote categories. A three-arm parallel trial design with equal randomisation across arms was used. Doctors were randomly allocated to: online questionnaire (902); simultaneous mixed mode (a paper questionnaire and login details sent together) (900); or, sequential mixed mode (online followed by a paper questionnaire with the reminder) (900). Analysis was by intention to treat, as within each primary mode, doctors could choose either paper or online. Primary outcome measures were response rate, survey response bias, item non-response, and cost. RESULTS: The online mode had a response rate 12.95%, followed by the simultaneous mixed mode with 19.7%, and the sequential mixed mode with 20.7%. After adjusting for observed differences between the groups, the online mode had a 7 percentage point lower response rate compared to the simultaneous mixed mode, and a 7.7 percentage point lower response rate compared to sequential mixed mode. The difference in response rate between the sequential and simultaneous modes was not statistically significant. Both mixed modes showed evidence of response bias, whilst the characteristics of online respondents were similar to the population. However, the online mode had a higher rate of item non-response compared to both mixed modes. The total cost of the online survey was 38% lower than simultaneous mixed mode and 22% lower than sequential mixed mode. The cost of the sequential mixed mode was 14% lower than simultaneous mixed mode. Compared to the online mode, the sequential mixed mode was the most cost-effective, although exhibiting some evidence of response bias. CONCLUSIONS: Decisions on which survey mode to use depend on response rates, response bias, item non-response and costs. The sequential mixed mode appears to be the most cost-effective mode of survey administration for surveys of the population of doctors, if one is prepared to accept a degree of response bias. Online surveys are not yet suitable to be used exclusively for surveys of the doctor population.
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ItemDO REGIONAL PRIMARY-CARE ORGANISATIONS INFLUENCE PRIMARY-CARE PERFORMANCE? A DYNAMIC PANEL ESTIMATION(WILEY, 2010-06)The role of regional primary-care organizations (PCOs) in health-care systems is not well understood. This is the first study to attempt to isolate the effect of regional PCOs on primary-care performance. We examine Divisions of General Practice in Australia, which were established in 1992. A unique Division-level panel data set is used to examine the effect of Divisions, and their activities, on various aspects of primary-care performance. Dynamic panel estimation is used to account for state dependence and the endogeneity of Divisions' activities. The results show that Divisions were more likely to have influenced general practice infrastructure than clinical performance in diabetes, asthma and cervical screening. The effect of specific Division activities, such as providing support for practice nurses and IT support, was not directly related to changes in the level of general practice performance. Specific support in the areas of diabetes and asthma was associated with general practice performance, but this was due to reverse causality and the effect of unobservable factors, rather than the direct effect of Divisions.