title: State population as a predictor of radiation therapy staffing levels.
abstract: OBJECTIVE
  Considering the cyclical nature of shortages and oversupplies of staffing levels in the labor force, an accurate prediction of future demand for personnel is of great importance. Historically, the profession of radiation therapy has been plagued with these cycles. This study establishes state population as a strong predictor of radiation therapy staffing levels.
  
  
  METHODS
  A linear regression analysis was performed to determine the association between state population and radiation therapy staffing levels from 2002 to 2010.
  
  
  RESULTS
  State population is a significant and substantial predictor variable for the number of actively employed and registered radiation therapists, with 89.5% to 91.4% of the variance accounted for from 2002 to 2010.
  
  
  CONCLUSIONS
  Additional research in estimating future demand in radiation therapy is possible. By monitoring change in state population, health care professionals can proactively address cycles of shortages and oversupplies in staffing levels.
authors.affiliation: American Society of Radiologic Technologists, Albuquerque, NM, USA. jculbertson@asrt.org
authors.forename: John
authors.initials: J
authors.lastname: Culbertson
authors.forename: Kira
authors.initials: K
authors.lastname: Carbonneau
authors.forename: Myke
authors.initials: M
authors.lastname: Kudlas
mesh_terms: D003198:Computer Simulation; D008505:Medical Staff, Hospital / Q000600:supply & distribution*; D015233:Models, Statistical; D009516:New Mexico; D010561:Personnel Staffing and Scheduling / Q000706:statistics & numerical data*; D018787:Radiation Oncology; D014481:United States; D000078329:Workforce