Appl. Spatial Analysis https://doi.org/10.1007/s12061-018-9261-y Measuring Relationships between Doctor Densities and Patient Visits: A Dog’s Breakfast of Small Area Health Geographies 1,2 3 Soumya Mazumdar & Nasser Bagheri & 3 1 Paul Konings & Shanley Chong & 1 4,5 3 Bin Jalaudin & Federico Girosi & Ian McRae Received: 29 August 2017 /Accepted: 13 May 2018 Springer Science+Business Media B.V., part of Springer Nature 2018, corrected publication June/2018 Abstract A number of small area geographies are used in Australia to investigate primary care relevant outcomes/behaviours and to manage the supply of Primary Care Providers (PCP) that influence these outcomes. However, very little research exists on the choice of a small area geography suitable for these purposes. We evaluated a large basket of Australian small area geographies to determine which geography is optimal for investigating relationships between PCP supply and the use of PCP services. We used linked data to evaluate the relationship between PCP supply and the likelihood of a patient visiting a PCP, after adjusting for individual level covariates. PCP supply was measured at different geographies including Local Government Areas (LGAs), Primary Health Networks (PHNs), Statistical Areas-1/2/3 and Remoteness Areas. Overall, the strongest relationships between PCP density and PCP
Applied Spatial Analysis and Policy – Springer Journals
Published: Jun 5, 2018
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