title: Exploring physician assistant data sources.
abstract: OBJECTIVE
  To assess four physician assistant (PA) proprietary datasets and inform researchers about data quality for addressing healthcare policy and workforce questions.
  
  
  METHODS
  The quality of datasets was assessed by experienced researchers. Descriptive analysis included overview, collection methodology, variables, and availability. Assessment included each dataset's strengths and limitations.
  
  
  RESULTS
  Datasets from the American Academy of Physician Assistants, National Commission on Certification of Physician Assistants, Physician Assistant Education Association, and Optum Provider360 Database include overlap in variables reflecting organizational mission and/or design. Attributes include variables for validation; limitations were lack of public use files, requirements for specific data requests or data purchase. The datasets do not have unique identifiers and cannot easily be linked.
  
  
  CONCLUSIONS
  The PA datasets contain variables of interest but are limited in scope. Better data collection and shared platforms could further the understanding of PA workforce characteristics and contributions to American healthcare. Researchers await more comprehensive, longitudinal, linked, and publicly available datasets.
authors.affiliation: Venetia L. Orcutt is an associate professor and associate director in the PA program at the University of Texas Southwestern Medical Center in Dallas, Tex. The author has disclosed no potential conflicts of interest, financial or otherwise.
authors.forename: Venetia L
authors.initials: VL
authors.lastname: Orcutt
mesh_terms: D022126:Access to Information; D000068598:Data Accuracy; D003625:Data Collection / Q000379:methods / Q000592:standards; D066264:Datasets as Topic / Q000592:standards*; D006302:Health Services Research; D006801:Humans; D010823:Physician Assistants; D012952:Societies