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.
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http://dx.doi.org/10.1093/fampra/cmx087 | DOI Listing |
Br J Gen Pract
October 2024
Division of Informatics, Imaging and Data Sciences; NIHR School for Primary Care Research, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, University of Manchester, Manchester.
Background: English primary care faces a reduction in GP supply and increased demand.
Aim: To explore trends in GP working time and supply, accounting for factors influencing demand for services.
Design And Setting: Retrospective observational study in English primary care between 2015 and 2022.
BMJ Open
September 2024
Department of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Objective: To describe trends in the organisational structure, workforce and recorded appointments by role in English general practice.
Design: Retrospective longitudinal study.
Setting: English general practice.
Br J Gen Pract
January 2025
National Institute for Health and Care Research Applied Research Collaboration (NIHR ARC) West, University Hospitals Bristol and Weston NHS Foundation Trust; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol.
Background: The Additional Roles Reimbursement Scheme (ARRS) was introduced by NHS England in 2019 alongside primary care networks (PCNs), with the aims of increasing the workforce and improving patient outcomes.
Aim: To describe the uptake of direct patient care (DPC)-ARRS roles and its impact on patients' experiences.
Design And Setting: An ecological study using 2020-2023 PCN and practice workforce data, registered patient characteristics, the General Practice Patient Survey, and the Quality and Outcomes Framework (QOF).
Br J Gen Pract
September 2023
Centre for Primary Care and Health Services Research, University of Manchester, Manchester.
Background: There are inequalities in the geographical distribution of the primary care workforce in England. Primary care networks (PCNs), and the associated Additional Roles Reimbursement Scheme (ARRS) funding, have stimulated employment of new healthcare roles. However, it is not clear whether this will impact inequalities.
View Article and Find Full Text PDFBr J Gen Pract
September 2023
Policy and Economics, School of Health Sciences, University of Manchester, Manchester.
Background: The recent publication of data on appointment volumes for all general practices in England has enabled representative analysis of factors affecting appointment activity rates for the first time.
Aim: To identify population, workforce, and organisational predictors of practice variations in appointment volume.
Design And Setting: A multivariable cross-sectional regression analysis of 6284 general practices in England was undertaken using data from August-October 2022.
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