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Paired analysis and pooled analysis of health professional education data showed similar results. Both methods effectively demonstrated knowledge improvement immediately after content delivery and at follow-up.

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Area of Science:

  • Continuing professional development
  • Health professions education research
  • Educational assessment

Background:

  • Participant response pairing is ideal for data analysis but often impractical.
  • Concerns exist that aggregated (pooled) data may reduce statistical robustness.

Purpose of the Study:

  • To compare paired and pooled data analyses in health professions continuing education.
  • To assess the impact of educational interventions on knowledge retention.

Main Methods:

  • Data from a live, in-person continuing education series for health professionals were analyzed.
  • Responses were analyzed using both paired (matched participants) and pooled (aggregated) methods.
  • Knowledge was assessed pre-education, immediately post-education, and 4-6 weeks later.

Main Results:

  • Both paired and pooled analyses showed statistically significant knowledge improvement from pre- to post-education for all questions.
  • For pre- to follow-up comparisons, 59% of questions showed significant improvement in paired analysis versus 62% in pooled analysis.
  • Paired and pooled data yielded comparable results for both immediate post-education and follow-up assessments.

Conclusions:

  • Pooled analysis of participant responses is a viable alternative to paired analysis in health professions education research.
  • Aggregated data can provide practical insights comparable to matched-pair data, especially when complete pairing is not feasible.
  • This finding supports the use of pooled data analysis to overcome challenges in participant response matching.