Domestic Application of Lessons Learned by Canadian Healthcare Professionals Working in International Disaster Settings
Notice bibliographique
Résumé
Context: The potential for disasters and public health emergencies is increasing globally, requiring expertise and capacity to mitigate and manage such events. Individuals with prior international disaster response represent an essential source of expertise to support disaster response in their home countries. Objective: The objective of this study was to explore the experiences of healthcare personnel involved in international emergency response regarding their perceptions of the individual attributes and collective team capacities during disaster response and how this may benefit disaster management in Canada. Study Design and analysis: This descriptive qualitative research study consisted of semi-structured interviews with key informants. Interviews were audio-recorded and transcribed. Conventional content analysis was performed on the transcripts, and themes were developed. Setting: Interviews were either conducted over the phone or in person. Population studied: Participants were delegates involved with the Canadian Red Cross medical response team, and who acted in a clinical or technical (physicians, surgeons, nurses) or administrative role (team leaders, administrators) within the last 5 years. Instrument: Semi structured interview guide was designed and piloted. It included open ended questions that explored participants’ experience on medical emergency response team and related lessons learned in terms of skills and capacities acquired. Outcome measures: Participant narratives of individual skills and team capacities acquired during disaster response and how these skills and capacities can be applied domestically in Canada. Results: Eighteen key informants provided perspectives on individual attributes acquired during international deployments, (ex; agility, stress management), and team capacities developed, including collaboration and conflict management. Key informants included nurses, physicians, technicians, and administrators and described these experiences as highly relevant to the domestic context. Conclusions: Canadian physicians and healthcare workers involved with international disaster response have already acquired essential capacities, and this experience can be vital to building efficient disaster response teams. These findings complement the CanMEDS roles and can inform course design, competency and curriculum development for family medicine and primary care professional training programs related to disaster response.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,024 | 0,010 |
| Communication savante | 0,007 | 0,002 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».