Forecasting models for human resources in health care

Area of Science:

• Health Services Research
• Nursing Workforce Studies
• Health Human Resources (HHR) Planning

Background:

• Review of nursing workforce forecasting approaches published 1996-1999.
• Existing methods often overlook complex influencing factors on health human resources.
• Limited consideration of impacts on population health, provider stress, and decision costs.

Purpose of the Study:

• To review and analyze existing methods for forecasting nursing human resource requirements.
• To identify limitations in current forecasting approaches.
• To explore potential improvements for future health human resource planning.

Main Methods:

• Systematic review of literature from 1996-1999 on nursing workforce forecasting.
• Analysis of supply and demand, needs-based, utilization-based, and effective demand-based models.
• Examination of forecasting methods from demography, epidemiology, economics, and industrial engineering.

Main Results:

• Supply and demand models have dominated nursing HHR forecasting.
• Three distinct models yield significantly different future HHR need estimates.
• Forecasting accuracy is limited by data availability and scope.

Conclusions:

• Simulation models show the most promise for future nursing workforce forecasting.
• Current methods are accurate for specific situations but not for long-term or large-scale predictions.
• Improved data and comprehensive models are needed for reliable HHR planning.