Disengaged: a qualitative study of communication and collaboration between physicians and other professions on general internal medicine wards
Notice bibliographique
Résumé
BACKGROUND: Poor interprofessional communication in hospital is deemed to cause significant patient harm. Although recognition of this issue is growing, protocols are being implemented to solve this problem without empirical research on the interprofessional communication interactions that directly underpin patient care. We report here the first large qualitative study of directly-observed talk amongst professions in general internal medicine wards, describing the content and usual conversation partners, with the aim of understanding the mechanisms by which current patterns of interprofessional communications may impact on patient care. METHODS: Qualitative study with 155 hours of data-collection, including observation and one-on-one shadowing, ethnographic and semi-structured interviews with physicians, nurses, and allied health professionals in the General Internal Medicine (GIM) wards of two urban teaching hospitals in Canada. Data were coded and analysed thematically with a focus on collaborative interactions between health professionals in both interprofessional and intraprofessional contexts. RESULTS: Physicians in GIM wards communicated with other professions mainly in structured rounds. Physicians' communications were terse, consisting of reports, requests for information, or patient-related orders. Non-physician observations were often overlooked and interprofessional discussion was rare. Intraprofessional interactions among allied health professions, and between nursing, as well as interprofessional interactions between nursing and allied health were frequent and deliberative in character, but very few such discussions involved physicians, whose deliberative interactions were almost entirely with other physicians. CONCLUSION: Without interprofessional problem identification and discussion, physician decisions take place in isolation. While this might be suited to protocol-driven care for patients whose conditions were simple and courses predictable, it may fail complex patients in GIM who often need tailored, interprofessional decisions on their care.Interpersonal communication training to increase interprofessional deliberation may improve efficiency, patient-centredness and outcomes of care in hospitals. Also, electronic communications tools which reduce cognitive burden and facilitate the sharing of clinical observations and orders could help physicians to engage more in non-medical deliberation. Such interventions should take into account real-world power differentials between physicians and other health professions.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
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 | 0,005 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 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) | 0,000 | 0,000 |
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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».