Waking up the next morning: surgeons’ emotional reactions to adverse events
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Notice bibliographique
Résumé
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.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle