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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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Published on: September 27, 2020

A reflective learning framework to evaluate CME effects on practice reflection.

Kit H Leung1, Pierre Pluye, Roland Grad

  • 1Information Technology Primary Care Research Group, Department of Family Medicine, Faculty of Medicine, McGill University, 517 Pine Avenue West, Montreal, Quebec, Canada. kit.leung@mail.mcgill.ca

The Journal of Continuing Education in the Health Professions
|June 22, 2010
PubMed
Summary
This summary is machine-generated.

This study operationalized reflective learning in continuing medical education (CME) using a reflective learning framework (RLF). The RLF defines four cognitive processes and 12 tasks, enabling competency-based assessment of physician performance in CME activities.

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Area of Science:

  • Medical Education
  • Cognitive Psychology
  • Continuing Medical Education (CME)

Background:

  • Reflective practice is crucial in CME, yet methods for evaluating reflective learning are lacking.
  • Existing evaluations rarely define reflective learning by specific cognitive processes or observable performances.
  • Competency-based evaluation is underutilized for assessing CME outcomes.

Purpose of the Study:

  • To operationally define reflective learning within a framework (RLF) for CME.
  • To refine and validate the RLF by evaluating physician performance in an e-learning activity.
  • To bridge the gap in evaluating reflective learning and its impact in clinical practice.

Main Methods:

  • A qualitative multiple-case study involving 473 practicing family physicians.
  • Physicians provided comments on research-based synopses during an online CME activity.
  • Thematic analysis extracted cognitive tasks based on the RLF from 2029 physician comments.

Main Results:

  • The reflective learning framework (RLF) supported four cognitive processes: Interpretation, Validation, Generalization, and Change.
  • Twelve specific, observable cognitive tasks were identified and defined within the RLF.
  • A codebook detailing these tasks and characteristics was developed for future application.

Conclusions:

  • The RLF provides a validated method for evaluating reflective learning in physicians.
  • The RLF and its codebook can integrate reflective learning into CME curricula and assessment.
  • Future research should involve CME stakeholders to explore broader applications of the RLF.