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Record W1547356510 · doi:10.1111/medu.12058

Waking up the next morning: surgeons’ emotional reactions to adverse events

2012· article· en· W1547356510 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Education · 2012
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsHospital for Sick ChildrenThe Wilson CentreUniversity of British ColumbiaUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMorningPsychologyMedicineMedical educationInternal medicine

Abstract

fetched live from OpenAlex

CONTEXT: The adverse patient event is an inherent component of surgical practice, but many surgeons are unprepared for the profound emotional responses these events can evoke. This study explored surgeons' reactions to adverse events and their impact on subsequent judgement and decision making. METHODS: Using a constructivist grounded theory approach, we conducted 20 semi-structured, 60-minute interviews with surgeons across subspecialties, experience levels, and sexes to explore surgeons' recollections of reactions to adverse events. Further interviews were conducted with six general surgeons to explore more immediate reactions after 28 adverse events. Data coding was both inductive, developing a new framework based on emergent themes, and deductive, using an existing framework for care providers' reactions to adverse events. RESULTS: Surgeons expressed feeling unique and alone in the depths of their reactions to adverse events and consistently described four phases of response, each containing cognitive and emotive components, following such events. The initial phase (the kick) involved feelings of failure ('Am I good enough?') experienced with a significant physiological response. This was shortly followed by a second phase (the fall), during which the surgeon experienced a sense of chaos and assessed the extent of his or her contribution to the event ('Was it my fault?'). During the third phase (the recovery), the surgeon reflected on the adverse event ('What can I learn?') and experienced a sense of 'moving on'. In the fourth phase (the long-term impact), the surgeon experienced the prolonged and cumulative effects of these reactions on his or her own personal and professional identities. Surgeons also described an effect on their clinical judgement, both for the case in question (minimisation) and future cases (overcompensation). CONCLUSIONS: Surgeons progress through a series of four phases following adverse events that are potentially caused by or directly linked to surgeon error. The framework provided by this study has implications for teaching, surgeon wellness and surgeon error.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.117
GPT teacher head0.463
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it