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Is Physical Rehabilitation Need Associated With the Rehabilitation Workforce Supply? An Ecological Study Across 35 High-Income Countries.
Jesus, Tiago S; Landry, Michel D; Hoenig, Helen; Dussault, Gilles; Koh, Gerald C; Fronteira, Inês.
Affiliation
  • Jesus TS; Global Health and Tropical Medicine & WHO Collaborating Center on Health Workforce Policy and Planning, Institute of Hygiene and Tropical Medicine - NOVA University of Lisbon, Lisbon, Portugal.
  • Landry MD; School of Medicine, Duke University, Durham, NC, USA.
  • Hoenig H; Duke Global Health Institute, Duke University, Durham, NC, USA.
  • Dussault G; Physical Medicine and Rehabilitation Service, Durham Veterans Administration Medical Center, Durham, NC, USA.
  • Koh GC; Division of Geriatrics, Department of Medicine, Duke University Medical Center, Durham, NC, USA.
  • Fronteira I; Global Health and Tropical Medicine & WHO Collaborating Center on Health Workforce Policy and Planning, Institute of Hygiene and Tropical Medicine - NOVA University of Lisbon, Lisbon, Portugal.
Int J Health Policy Manag ; 11(4): 434-442, 2022 Apr 01.
Article in En | MEDLINE | ID: mdl-32823379
ABSTRACT

BACKGROUND:

To determine whether population-adjusted rates of physical rehabilitation need (ie, disability-related epidemiological data) are associated with the workforce supply (ie, combined rates of practicing physical therapists (PTs) and occupational therapists (OTs) per 10 000 population) across high-income countries (HICs), adjusted for socio-demographic and economic covariates.

METHODS:

This is a cross-national ecological study. Hierarchical, multiple linear regressions analyzed current international data across 35 HICs using current PTs and OTs supply data obtained from the international professional federations (outcome variable); needs data obtained from the Global Burden of Disease 2017 (GBD 2017); and finally relevant socio-demographic variables and supply-side covariates extracted from the World Bank, GBD 2017, the supply data sources, and the Global Health Expenditure Database.

RESULTS:

The PTs and OTs per capita varied greatly across the 35 HICs, differing by as much as 40-fold. Denmark had the greatest supply per capita. Physical rehabilitation need was not a significant, independent predictor of workforce supply regardless of the multiple regression model used (P >.10). In the final model, after Bonferroni correction, 3 covariates were significant, independent predictors of the supply variable gross national income (GNI) per capita and the current health expenditure in % of gross domestic product (GDP) were positive factors for workforce supply, while population size was a negative factor (all P <.01).

CONCLUSION:

PT and OT workforce supply is highly variable across HICs. This variability is not accounted for by an indicator of population need but rather by financial indicators and population size.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Global Health / Income Type of study: Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Humans Language: En Journal: Int J Health Policy Manag Year: 2022 Document type: Article Affiliation country: Portugal

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Global Health / Income Type of study: Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Humans Language: En Journal: Int J Health Policy Manag Year: 2022 Document type: Article Affiliation country: Portugal
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