Towards a medical school curriculum for uncertainty in clinical practice
Autor: | Nethra S. Ankam, Deborah Ziring, Dimitrios Papanagnou, David Ebbott |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Clinical clerkship
Medicine (General) education Undergraduate medical education Education R5-920 well-being curriculum design Humans Curriculum Schools Medical Self-efficacy Medical education LC8-6691 Debriefing Clinical Clerkship Uncertainty General Medicine Special aspects of education humanities Cross-Sectional Studies Preparedness Well-being Observational study Clinical Competence Psychology self-efficacy Storytelling Research Article |
Zdroj: | Medical Education article-version (VoR) Version of Record Medical Education Online, Vol 26, Iss 1 (2021) |
ISSN: | 1087-2981 |
Popis: | Uncertainty abounds in the clinical environment. Medical students, however, are not explicitly prepared for situations of uncertainty in clinical practice, which can cause anxiety and impact well-being. To address this gap, we sought to capture how students felt in various clinical scenarios and identify programs they found helpful as they worked through uncertainty in their clerkships to better inform curriculum that prepares them to acknowledge and navigate this uncertainty. This is an observational cross-sectional study of third-year medical students surveyed at the end of core clerkships. The survey consisted of the General Self-Efficacy (GSE) Scale and Intolerance of Uncertainty Scale (IUS). Items asked students to rate preparedness, confidence, and comfort with uncertainty in clinical practice. Items on curricular programs asked students to identify training that prepared them for uncertainty in clerkships, and examined correlations with specific clinical practice uncertainty domains (CPUDs). Spearman’s rank-order correlation, Chi-Square, and ANOVA were used to analyze quantitative data. Open responses were analyzed using Braun and Clarke’s Framework. Response rate was 98.9% (287/290). GSE was inversely correlated with IUS (p |
Databáze: | OpenAIRE |
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