Factors influencing the satisfaction of rural physician assistants: a cross-sectional study

J Allied Health. 2014 Spring;43(1):22-31.

Abstract

The purpose of the study was to determine factors that attract physician assistants (PAs) to rural settings, and what they found satisfying about their practice and community. A cross-sectional survey design was used. All PAs who were practicing in both nonmetropolitan counties and rural communities in metropolitan counties, in a single midwestern US state, served as the population for the study. A total of 414 usable questionnaires were returned of the 1,072 distributed, a 39% response rate. Factor analysis, descriptive statistics, Pearson's correlation analysis, and robust regression analyses were used. Statistical models were tested to identify antecedents of four job satisfaction factors (satisfaction with professional respect, satisfaction with supervising physician, satisfaction with authority/ autonomy, and satisfaction with workload/salary). The strongest predictor of all four job satisfaction factors was community satisfaction, followed by importance of job practice. Additionally, the four job satisfaction factors had some significant associations with importance of socialization, community importance, practice attributes (years of practice, years in current location, specialty, and facility type), job responsibilities (percentage of patient load not discussed with physician, weekly hours as PA, inpatient visits), and demographics (marital status, race, age, education).

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Education, Continuing / statistics & numerical data
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Interprofessional Relations
  • Job Satisfaction*
  • Male
  • Marital Status
  • Middle Aged
  • Physician Assistants / economics
  • Physician Assistants / education
  • Physician Assistants / psychology*
  • Professional Autonomy
  • Professional-Patient Relations
  • Regression Analysis
  • Rural Health Services* / economics
  • Rural Health Services* / organization & administration
  • Salaries and Fringe Benefits
  • Surveys and Questionnaires
  • United States
  • Workforce
  • Workload