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Programmatic Assessment of Clinical Reasoning: New Opportunities to Meet an Ongoing Challenge.

Dario TorreMichelle DanielTemple RatcliffeSteven J DurningEric HolmboeLambert Schuwirth
Published in: Teaching and learning in medicine (2024)
Issue :  Clinical reasoning is essential to physicians' competence, yet assessment of clinical reasoning remains a significant challenge. Clinical reasoning is a complex, evolving, non-linear, context-driven, and content-specific construct which arguably cannot be assessed at one point in time or with a single method. This has posed challenges for educators for many decades, despite significant development of individual assessment methods. Evidence :  Programmatic assessment is a systematic assessment approach that is gaining momentum across health professions education. Programmatic assessment, and in particular assessment for learning, is well-suited to address the challenges with clinical reasoning assessment. Several key principles of programmatic assessment are particularly well-aligned with developing a system to assess clinical reasoning: longitudinality, triangulation, use of a mix of assessment methods, proportionality, implementation of intermediate evaluations/reviews with faculty coaches, use of assessment for feedback, and increase in learners' agency. Repeated exposure and measurement are critical to develop a clinical reasoning assessment narrative, thus the assessment approach should optimally be longitudinal, providing multiple opportunities for growth and development. Triangulation provides a lens to assess the multidimensionality and contextuality of clinical reasoning and that of its different, yet related components, using a mix of different assessment methods. Proportionality ensures the richness of information on which to draw conclusions is commensurate with the stakes of the decision. Coaching facilitates the development of a feedback culture and allows to assess growth over time, while enhancing learners' agency. Implications:   A programmatic assessment model of clinical reasoning that is developmentally oriented, optimizes learning though feedback and coaching, uses multiple assessment methods, and provides opportunity for meaningful triangulation of data can help address some of the challenges of clinical reasoning assessment.
Keyphrases
  • healthcare
  • primary care
  • systematic review
  • mental health
  • risk assessment
  • deep learning
  • big data
  • cross sectional
  • medical students