Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/111125
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Type: Journal article
Title: The never ending road: improving, adapting and refining a needs-based model to estimate future general practitioner requirements in two Australian states
Author: Laurence, C.
Heywood, T.
Bell, J.
Atkinson, K.
Karnon, J.
Citation: Family Practice, 2018; 35(2):193-198
Publisher: Oxford University Press
Issue Date: 2018
ISSN: 0263-2136
1460-2229
Statement of
Responsibility: 
Caroline O Laurence, Troy Heywood, Janice Bell, Kaye Atkinson and Jonathan Karnon
Abstract: Background. Health workforce planning models have been developed to estimate the future health workforce requirements for a population whom they serve and have been used to inform policy decisions. Objectives. To adapt and further develop a need-based GP workforce simulation model to incorporate current and estimated geographic distribution of patients and GPs. Methods. A need-based simulation model that estimates the supply of GPs and levels of services required in South Australia (SA) was adapted and applied to the Western Australian (WA) workforce. The main outcome measure was the differences in the number of full-time equivalent (FTE) GPs supplied and required from 2013 to 2033. Results. The base scenario estimated a shortage of GPs in WA from 2019 onwards with a shortage of 493 FTE GPs in 2033, while for SA, estimates showed an oversupply over the projection period. The WA urban and rural models estimated an urban shortage of GPs over this period. A reduced international medical graduate recruitment scenario resulted in estimated shortfalls of GPs by 2033 for WA and SA. The WA-specific scenarios of lower population projections and registrar work value resulted in a reduced shortage of FTE GPs in 2033, while unfilled training places increased the shortfall of FTE GPs in 2033. Conclusions. The simulation model incorporates contextual differences to its structure that allows within and cross jurisdictional comparisons of workforce estimations. It also provides greater insights into the drivers of supply and demand and the impact of changes in workforce policy, promoting more informed decision-making.
Keywords: General practice; health manpower; health service needs and demands; policy
Description: Advance Access publication 8 September 2017
Rights: © The Author 2017. Published by Oxford University Press. All rights reserved.
RMID: 0030076307
DOI: 10.1093/fampra/cmx087
Grant ID: http://purl.org/au-research/grants/arc/DE120101502
Appears in Collections:Public Health publications

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