Trainees' perceptions of being allowed to fail in clinical training: A sense‐making model Article Swipe
Jennifer M. Klasen
,
Pim W. Teunissen
,
Erik W. Driessen
,
Lorelei Lingard
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/medu.14966
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/medu.14966
Introduction Clinical supervisors allow trainees to fail during clinical situations when trainee learning outweighs concerns for patient safety. Trainees perceive failure as both educationally valuable and emotionally draining; however, the nuance of supervised failures has not been researched from the trainee perspective. This study explored trainees' awareness and their experience of failure and allowed failure to understand those events in‐depth. Methods We interviewed 15 postgraduate trainees from nine teaching sites in Europe and Canada. Participants were a purposive sample, representing 1–10 years of clinical training in various specialties. Consistent with constructivist grounded theory, data collection and analysis were iterative, supporting theoretical sampling to explore themes. Results Trainees reported that failure was a common, valuable, and emotional experience. They perceived that supervisors allowed failure, but they reported never having it explicitly confirmed or discussed. Therefore, trainees tried to make sense of these events on their own. If they interpreted a failure as allowed by the supervisor, trainees sought to ascertain supervisory intentions. They described situations where they judged supervisor's intentions to be constructive or destructive. Discussion Our results confirm that trainees perceive their failures as valuable learning opportunities. In the absence of explicit conversations with supervisors, trainees tried to make sense of failures themselves. When trainees judge that they have been allowed to fail, their interpretation of the event is coloured by their attribution of supervisor intentions. Perceived intentions might impact the educational benefit of the experience. In order to support trainees' sense‐making, we suggest that supervisory conversations during and after failure events should use more explicit language to discuss failures and explain supervisory intentions.
Related Topics
Concepts
Psychology
Supervisor
Attribution
Nonprobability sampling
Constructive
Perception
Sample (material)
Perspective (graphical)
Medical education
Event (particle physics)
Social psychology
Applied psychology
Medicine
Process (computing)
Computer science
Quantum mechanics
Population
Law
Artificial intelligence
Operating system
Chemistry
Neuroscience
Political science
Chromatography
Physics
Environmental health
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/medu.14966
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/medu.14966
- OA Status
- bronze
- Cited By
- 8
- References
- 62
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4308179760
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4308179760Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/medu.14966Digital Object Identifier
- Title
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Trainees' perceptions of being allowed to fail in clinical training: A sense‐making modelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-04Full publication date if available
- Authors
-
Jennifer M. Klasen, Pim W. Teunissen, Erik W. Driessen, Lorelei LingardList of authors in order
- Landing page
-
https://doi.org/10.1111/medu.14966Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/medu.14966Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/medu.14966Direct OA link when available
- Concepts
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Psychology, Supervisor, Attribution, Nonprobability sampling, Constructive, Perception, Sample (material), Perspective (graphical), Medical education, Event (particle physics), Social psychology, Applied psychology, Medicine, Process (computing), Computer science, Quantum mechanics, Population, Law, Artificial intelligence, Operating system, Chemistry, Neuroscience, Political science, Chromatography, Physics, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 2, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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62Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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