Forecasting Staffing Needs for Ontario's Long-Term Care Sector.


Journal

Healthcare policy = Politiques de sante
ISSN: 1715-6580
Titre abrégé: Healthc Policy
Pays: Canada
ID NLM: 101280107

Informations de publication

Date de publication:
06 2022
Historique:
entrez: 18 7 2022
pubmed: 19 7 2022
medline: 20 7 2022
Statut: ppublish

Résumé

This paper presents a forecasting model for personal support workers (PSWs) and nurses (registered nurses [RNs] and registered practical nurses [RPNs]) for Ontario's long-term care (LTC) sector. In the base-case scenario, the model projects a shortfall in the supply of full-time equivalent (FTE) workers required to meet the expected demand for care for all workers by 2035, which would require an estimated increase of 11,632 FTE PSWs, 6,031 FTE RNs and 10,178 FTE RPNs entering the market by 2035. The results of this paper may have important implications for health human resources policy planning in Ontario's LTC sector.

Identifiants

pubmed: 35848558
pii: hcpol.2022.26852
doi: 10.12927/hcpol.2022.26852
pmc: PMC9346590
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

91-106

Informations de copyright

Copyright © 2022 Longwoods Publishing.

Références

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pubmed: 20164064

Auteurs

Adrian Rohit Dass (AR)

Research Coordinator, Institute of Health Policy, Management and Evaluation, Canadian Centre for Health Economics, University of Toronto, Toronto, ON.

Raisa Deber (R)

Professor, Institute of Health Policy, Management and Evaluation, Canadian Centre for Health Economics, University of Toronto, Toronto, ON.

Audrey Laporte (A)

Professor, Institute of Health Policy, Management and Evaluation, Canadian Centre for Health Economics, University of Toronto, Toronto, ON.

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Classifications MeSH