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Correlation of Physician Assistant Prerequisite Coursework and Student Success.

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|July 8, 2025
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Summary

Prerequisite science courses do not consistently impact physician assistant (PA) student outcomes. Performance on assessments, including the Physician Assistant National Certifying Exam (PANCE), showed no significant correlation with the number of science credit hours completed.

Keywords:
AdmissionsPANCEPhysician assistant trainingPrerequisite science coursesStudent outcomes

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Area of Science:

  • Medical Education
  • Health Professions Education

Background:

  • Conflicting literature exists on the necessity of prerequisite science coursework for physician assistant (PA) programs.
  • PA programs exhibit variation in required prerequisite courses, necessitating an evaluation of their impact on student success.

Purpose of the Study:

  • To determine if prerequisite science courses are essential for student success in a PA training program.
  • To analyze the impact of eliminating prerequisite coursework on student outcomes.

Main Methods:

  • Analysis of Centralized Application Service for Physician Assistants (CASPA) data (2018-2021) and student performance metrics.
  • Stratification analysis and Pearson correlation coefficients to assess relationships between science credit hours and clinical year variables.

Main Results:

  • No consistent correlation found between prerequisite science credit hours and student performance on various assessments.
  • Applicants with minimal (0-1) to extensive (>15) credit hours performed similarly.
  • No statistically significant correlation between prerequisite courses and Physician Assistant National Certifying Exam (PANCE) scores or other national benchmarked assessments.

Conclusions:

  • Variations in prerequisite coursework did not consistently correlate with student performance, questioning the necessity of specific science courses for PA program success.
  • Limitations include sample size for certain prerequisite groups and variability in assessment tools, potentially affecting generalizability.