title: Predictive modeling the physician assistant supply: 2010-2025.
abstract: OBJECTIVE
  A component of health-care reform in 2010 identified physician assistants (PAs) as needed to help mitigate the expected doctor shortage. We modeled their number to predict rational estimates for workforce planners.
  
  
  METHODS
  The number of PAs in active clinical practice in 2010 formed the baseline. We used graduation rates and program expansion to project annual growth; attrition estimates offset these amounts. A simulation model incorporated historical trends, current supply, and graduation amounts. Sensitivity analyses were conducted to systematically adjust parameters in the model to determine the effects of such changes.
  
  
  RESULTS
  As of 2010, there were 74,476 PAs in the active workforce. The mean age was 42 years and 65% were female. There were 154 accredited educational programs; 99% had a graduating class and produced an average of 44 graduates annually (total n=6,776). With a 7% increase in graduate entry rate and a 5% annual attrition rate, the supply of clinically active PAs will grow to 93,099 in 2015, 111,004 in 2020, and 127,821 in 2025. This model holds clinically active PAs in primary care at 34%.
  
  
  CONCLUSIONS
  The number of clinically active PAs is projected to increase by almost 72% in 15 years. Attrition rates, especially retirement patterns, are not well understood for PAs, and variation could affect future supply. While the majority of PAs are in the medical specialties and subspecialties fields, new policy steps funding PA education and promoting primary care may add more PAs in primary care than the model predicts.
authors: The Lewin Group, Falls Church, VA, USA. rod.hooker@lewin.com
authors: Roderick S
authors: RS
authors: Hooker
authors: James F
authors: JF
authors: Cawley
authors: Christine M
authors: CM
authors: Everett
mesh_terms: D000328:Adult; D005260:Female; D018166:Health Care Reform; D006301:Health Services Needs and Demand; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D010823:Physician Assistants / Q000193:education / Q000600:supply & distribution*; D011320:Primary Health Care; D014481:United States; D000078329:Workforce