ArticleMedical science educator2023
Goal-Oriented and Habit-Oriented Reflective Models to Support Professional Identity Formation and Metacognitive Thinking.
Article in Medical science educator, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- The case for metacognitive reflection: a theory integrative review with implications for medical education.Advances in health sciences education : theory and practice · 2024Review
- Relation Between Career Development and Metacognition Among New Graduate Nurses: A Cross-Sectional Study.SAGE open nursingArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
Professional identity formation (PIF) is a multi-year, complex, social, and intellectual process that culminates in trainees "thinking, acting, and feeling like a doctor." Some of the processes of PIF, particularly the Hidden Curriculum, may result in suboptimal outcomes in student's cognition, including implicit bias and poor clinical decision-making. Many have recognized the importance of reflective writing, particularly metacognition, in undergraduate medical education. However, there are few concrete examples and explanations for fully integrating reflective writing exercises across multiple situations, experiences, and levels of growth. The authors provide conceptual frameworks, concrete curricular structures, and reflective tools used at two medical schools. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-023-01752-9.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.