ArticleBMC health services research2023
Impact of the Medicare Benefits Schedule Rebate (MBSR) freeze on General Practice (GP) use: multivariable regression analysis.
Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundIn 2015, the Australian government froze the Medicare Benefits Schedule Rebate (MBSR) for General Practitioner (GP) service use. This paper aimed to explore the impact of the MBSR freeze on the demand for GP services in Victoria, Australia, for three years, from 2014 to 2016.
methodAnnual data on GP service utilisation by the Victorian State Statistical Area Level 3 (SA3) were analysed using 2015 as the reference year (MBSR freeze year). We compared annual per-person GP service use before and after the MBSR freeze for each SA3. Socioeconomic Indexes for Areas (SEIFA) scores and regions of Victoria (Greater Melbourne and the Rest of Victoria) were used to identify the most disadvantaged SA3s in Victoria. We conducted a multivariable regression analysis for the number of GP services per patient by SA3, controlling for regions of Victoria, the number of GP services, the proportion of bulk-billed visits, age group, gender and year.
findingsAfter adjusting for age group, gender, region, SEIFA, the number of GPs and the proportion of bulk-billed GP visits, mean GP services per person per year declined steadily between 2014 and 2016, with a 3% or 0.11 visit (-0.114, 95%CI: -0.134; -0.094, P = < 0.001) reduction in mean utilisation in 2016 compared to 2014. In disadvantaged SA3s, there was a fall in the number of GP services that were bulk-billed during and after the MBSR freeze compared to 2014, and this fall was large in LOW SEIFA SA3s, with a reduction in 17% of mean bulk-billed GP services.
conclusionThe MBSR freeze for GP consultations in 2015 resulted in a reduction in the annual per capita demand for GP visits, with the impact of reduced demand more significant in lower socioeconomic and regional/rural areas. The GP funding policies must consider the demand differences by social-economic status and location.
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