Surgery in the Western Canadian Arctic : Using a logic model to understand and strengthen a rural surgical system
Notice bibliographique
Résumé
Introduction: Rural, remote, indigenous, and circumpolar populations have worse health outcomes when compared with their urban counterparts. Little is known about the surgical needs of such populations, and the delivery of surgical services to such geographically isolated regions poses many challenges. The networked model of care integrating family physicians with enhanced surgical skills (FPESS) and specialist surgeons (SS) provides a sustainable solution to these challenges. This project studied the system of surgical care delivery for the population living in one circumpolar region of the western Canadian Arctic, the Beaufort Delta. Methods: Using a participatory approach, a logic model was developed to describe the delivery of surgical services to the Beaufort Delta Region. Semi-structured interviews were conducted with relevant stakeholders working within the Northwest Territories Health & Social Services Authority in an iterative process following grounded theory. Quantitative methods were also proposed to contribute to an understanding of the surgical needs of the population, as well as the relative impact of each type of surgical care provider in the overall care for the region, but these data remain unavailable at the time of writing. Results: The logic model is presented in graphic and narrative form, detailing the roles of providers involved in surgical care, from community health nurses (CHNs) to sub-specialist surgeons at the tertiary care centres of Edmonton, Alberta. The focus, however, is on the role and interactions between FPESS and SS in the surgical care provided to the region in the demonstration of this networked model of care. Recommendations to improve the host surgical system, based on the interviews with stakeholders and on the literature review, are made. Discussion: This study provides insight into a functioning example of a networked model of surgical care. FPESS and SS work together to improve access to surgical care for this disadvantaged population. Although there is room for improvement, the BDR model demonstrates many of the qualities of networked care as described in the literature. Further study into this model can contribute to a better understanding of circumpolar surgical needs and care delivery, which is a current gap in knowledge, and may benefit other global regions facing similar challenges in the delivery of surgical care. Recommendations from this project can also serve as a platform for knowledge translation to the host surgical system.
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 | 0,008 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,013 | 0,017 |
| Communication savante | 0,010 | 0,004 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 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 ».