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Predicting the pediatric workforce: use of trend analysis
Gary L Freed1, Tammie A Nahra, John R C Wheeler
1Division of General Pediatrics, Child Health Evaluation, and Research Unit, and the Department of Health Management and Policy, University of Michigan, Ann Arbor, Michigan 48109-0456, USA. gfreed@med.umich.edu
The Journal of Pediatrics
|November 15, 2003
Summary
A new predictive model accurately forecasts the pediatric workforce by correlating economic activity with physician numbers. This model shows high accuracy over decades, aiding future healthcare planning.
Area of Science:
- Healthcare workforce analysis
- Predictive modeling in public health
- Pediatric medical workforce trends
Background:
- The pediatric workforce is crucial for child health outcomes.
- Accurate forecasting of physician supply is essential for healthcare planning.
- Previous models for physician workforce trends require refinement.
Purpose of the Study:
- To develop and validate a predictive model for the pediatric workforce.
- To assess the model's retrospective accuracy over several decades.
- To understand the relationship between economic indicators and pediatrician supply.
Main Methods:
- Applied a modified physician workforce trend model.
- Analyzed the correlation between economic activity (GDP per capita) and active pediatricians (1963-2000).
- Utilized linear trend analyses for economic and population projections using historical data.
Main Results:
- Significant growth in the absolute number of pediatricians observed over decades.
- A strong correlation (R²=0.98) was found between GDP per capita and pediatricians per 100,000 children (1963-2000).
- Model predictions based on historical data showed high correlation with actual pediatrician supply.
Conclusions:
- The developed predictive model for the pediatric workforce demonstrated high accuracy and consistency.
- The model's reliability was validated over a 37-year period.
- This approach provides a robust tool for projecting future pediatric physician supply.
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