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- Title
Implicit expression of uncertainty in medical students during different sequences of clinical reasoning in simulated patient handovers.
- Authors
Harendza, Sigrid; Bacher, Hans Jakob; Berberat, Pascal O.; Kadmon, Martina; Gärtner, Julia
- Abstract
Background: Dealing with medical uncertainty is an essential competence of physicians. During handovers, communication of uncertainty is important for patient safety, but is often not explicitly expressed and can hamper medical decisions. This study examines medical students' implicit expression of uncertainty in different sequences of clinical reasoning during simulated patient handovers. Methods: In 2018, eighty-seven final-year medical students participated in handovers of three simulated patient cases, which were videotaped and transcribed verbatim. Sequences of clinical reasoning and language references to implicit uncertainty that attenuate and strengthen information based on a framework were identified, categorized, and analyzed with chi-square goodness-of-fit tests. Results: A total of 6358 sequences of clinical reasoning were associated with the four main categories "statement", "assessment", "consideration", and "implication", with statements occurring significantly (p<0.001) most frequently. Attenuated sequences of clinical reasoning occurred significantly (p<0.003) more frequently than strengthened sequences. Implications were significantly more often attenuated than strengthened (p<0.003). Statements regarding results occurred significantly more often plain or strengthened than statements regarding actions (p<0.0025). Conclusion: Implicit expressions of uncertainty in simulated medical students' handovers occur in different degrees during clinical reasoning. These findings could contribute to courses on clinical case presentations by including linguistic terms and implicit expressions of uncertainty and making them explicit.
- Subjects
MEDICAL students; MEDICAL logic; SIMULATED patients; GOODNESS-of-fit tests; CHI-squared test
- Publication
GMS Journal for Medical Education, 2023, Vol 40, Issue 1, p1
- ISSN
2366-5017
- Publication type
Article
- DOI
10.3205/zma001589