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[A physician demand and supply forecast model for Nova Scotia]
1Economiste principal, Division de la modélisation par microsimulation de l'analyse des données, Direction de la recherche appliquée et de l'analyse, Ministère de la Santé, Canada.
A physician forecasting model predicts demand for health human resources will exceed supply in Nova Scotia by 2020. This tool aids policymakers in addressing physician workforce gaps through strategic planning.
Area of Science:
- Health Services Research
- Health Workforce Planning
- Medical Economics
Background:
- Growing concern over Health Human Resources (HHR) availability due to demographic shifts.
- An aging population increases demand for medical services while the HHR workforce also ages.
- Lengthy physician training necessitates advanced workforce planning.
Purpose of the Study:
- To develop a physician forecasting model for Nova Scotia.
- Project Full-Time Equivalent (FTE) physician demand and supply to 2020 for general practitioners, medical specialists, and surgical specialists.
- Enable gap analysis and policy assessment for physician workforce planning.
Main Methods:
- Demand Estimation: Calculated physician FTE using income data (Physician Billings Data) and a Health Canada formula, distributed FTE by service, and projected future demand using Statistics Canada population projections.
- Supply Modeling: Employed a stock/flow approach using time-series data on emigration, international medical graduates (IMGs), entrants, retirements, and mortality.
- Policy Simulation: Incorporated parameters to assess various policy options impacting supply and demand.
Main Results:
- Under current trends, projected physician demand will surpass supply across all three specialties by 2020.
- The model highlights a significant gap between anticipated physician needs and the available workforce.
Conclusions:
- The physician forecasting model is a user-friendly tool for policymakers.
- It can simulate the impact of policy interventions (e.g., increasing international medical graduates, adjusting retirement ages) on the physician workforce.
- The model identifies necessary policy levers to close projected demand-supply gaps.
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