Sarah Simkin1, Caroline Chamberland-Rowe2, Ivy Lynn Bourgeault2. 1. University of Ottawa and Canadian Health Workforce Network, Ottawa, Canada. ssimk047@uottawa.ca. 2. University of Ottawa and Canadian Health Workforce Network, Ottawa, Canada.
Abstract
BACKGROUND: Health workforce planning capability at a regional level is increasingly necessary to ensure that the healthcare needs of defined local populations can be met by the health workforce. In 2016, a regional health authority in Toronto, Canada, identified a need for more robust health workforce planning infrastructure and processes. The goal of this project was to develop an evidence-informed toolkit for integrated, multi-professional, needs-based primary care workforce planning for the region. This article presents the quantitative component of the workforce planning toolkit and describes the process followed to develop this tool. METHODS: We conducted an environmental scan to identify datasets addressing population health need and profession-specific health workforce supply that could contribute to quantitative health workforce modelling. We assessed these sources of data for comprehensiveness, quality, and availability. We also developed a quantitative health workforce planning model to assess the alignment of regional service requirements with the service capacity of the workforce. RESULTS: The quantitative model developed as part of the toolkit includes components relating to both population health need and health workforce supply. Different modules were developed to capture the information and address local issues impacting delivery and planning of primary care health services in Toronto. CONCLUSIONS: A quantitative health workforce planning model is a necessary component of any health workforce planning toolkit. In combination with qualitative tools, it supports integrated, multi-professional, needs-based primary care workforce planning. This type of planning presents an opportunity to address inequities in access and outcome for regional populations.
BACKGROUND: Health workforce planning capability at a regional level is increasingly necessary to ensure that the healthcare needs of defined local populations can be met by the health workforce. In 2016, a regional health authority in Toronto, Canada, identified a need for more robust health workforce planning infrastructure and processes. The goal of this project was to develop an evidence-informed toolkit for integrated, multi-professional, needs-based primary care workforce planning for the region. This article presents the quantitative component of the workforce planning toolkit and describes the process followed to develop this tool. METHODS: We conducted an environmental scan to identify datasets addressing population health need and profession-specific health workforce supply that could contribute to quantitative health workforce modelling. We assessed these sources of data for comprehensiveness, quality, and availability. We also developed a quantitative health workforce planning model to assess the alignment of regional service requirements with the service capacity of the workforce. RESULTS: The quantitative model developed as part of the toolkit includes components relating to both population health need and health workforce supply. Different modules were developed to capture the information and address local issues impacting delivery and planning of primary care health services in Toronto. CONCLUSIONS: A quantitative health workforce planning model is a necessary component of any health workforce planning toolkit. In combination with qualitative tools, it supports integrated, multi-professional, needs-based primary care workforce planning. This type of planning presents an opportunity to address inequities in access and outcome for regional populations.
Keywords:
Integrated health workforce planning; Multi-professional; Population health needs; Population mobility; Practice patterns; Primary care; Regional planning; Service-focused
Authors: Gail Tomblin Murphy; Adrian MacKenzie; Robert Alder; Stephen Birch; George Kephart; Linda O'Brien-Pallas Journal: Policy Polit Nurs Pract Date: 2009-11
Authors: Norbert Dreesch; Carmen Dolea; Mario R Dal Poz; Alexandre Goubarev; Orvill Adams; Maru Aregawi; Karin Bergstrom; Helga Fogstad; Della Sheratt; Jennifer Linkins; Robert Scherpbier; Mayada Youssef-Fox Journal: Health Policy Plan Date: 2005-08-02 Impact factor: 3.344
Authors: Petra Ten Hoope-Bender; Andrea Nove; Laura Sochas; Zoë Matthews; Caroline S E Homer; Francisco Pozo-Martin Journal: Hum Resour Health Date: 2017-07-04
Authors: Adrian MacKenzie; Cindy MacQuarrie; Matthew Murphy; Geoff Piers; Katrina Philopoulos; Steven Carrigan; Jesse Joice; Junaid Kapra; Cathy Ann Casault; Jennifer MacDougall; Joanne M Langley; Gail Tomblin Murphy Journal: Healthc Manage Forum Date: 2022-07