ArticleBMC health services research2020
What explains the regional variation in the use of general practitioners in Australia?
Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Health workforce planning methods in rural and remote primary care: a scoping review.Human resources for health · 2026Article
- Consultation frequency patterns for older patients in Danish general practice: a nationwide register-based cohort study.BJGP open · 2025Article
- Variation in healthcare services utilization and continuity of care in long-term care facilities: a cross-sectional study.BMC health services research · 2025Article
- Article
- Views on the Development and Use of a New Digital Adverse Drug Event Reporting Platform in Australia: A Qualitative Study.Drug safety · 2025Article
- Hospitalisations for non-specific low back pain in people presenting to South Australian public hospital emergency departments.Emergency medicine Australasia : EMA · 2025Observational
- Article
- Association of individual-socioeconomic variation in quality-of-primary care with area-level service organisation: A multilevel analysis using linked data.Journal of evaluation in clinical practice · 2023Article
- Successes and challenges of primary health care in Australia: A scoping review and comparative analysis.Journal of global health · 2023Article
- Systematic population-wide ecological analysis of regional variability in disease prevalence.Heliyon · 2023Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundRegional variation in the use of health care services is widespread. Identifying and understanding the sources of variation and how much variation is unexplained can inform policy interventions to improve the efficiency and equity of health care delivery.
methodsWe examined the regional variation in the use of general practitioners (GPs) using data from the Social Health Atlas of Australia by Statistical Local Area (SLAs). 756 SLAs were included in the analysis. The outcome variable of GP visits per capita by SLAs was regressed on a series of demand-side factors measuring population health status and demographic characteristics and supply-side factors measuring access to physicians. Each group of variables was entered into the model sequentially to assess their explanatory share on regional differences in GP usage.
resultsBoth demand-side and supply-side factors were found to influence the frequency of GP visits. Specifically, areas in urban regions, areas with a higher percentage of the population who are obese, who have profound or severe disability, and who hold concession cards, and areas with a smaller percentage of the population who reported difficulty in accessing services have higher GP usage. The availability of more GPs led to higher use of GP services while the supply of more specialists reduced use. 30.56% of the variation was explained by medical need. Together, both need-related and supply-side variables accounted for 32.24% of the regional differences as measured by the standard deviation of adjusted GP-consultation rate.
conclusionsThere was substantial variation in GP use across Australian regions with only a small proportion of them being explained by population health needs, indicating a high level of unexplained clinical variation. Supply factors did not add a lot to the explanatory power. There was a lot of variation that was not attributable to the factors we could observe. This could be due to more subtle aspects of population need or preferences and therefore warranted. However, it could be due to practice patterns or other aspects of supply and be unexplained. Future work should try to explain the remaining unexplained variation.
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