Identifying and prioritizing recommendations to optimize transitions across the care journey for hip fractures in Canada: A concept mapping study
Notice bibliographique
Résumé
Background: Hip fractures are one of the most common fall-related injuries and often lead to functional decline, morbidity, and rehospitalization. After experiencing a hip fracture, patients undergo several transitions in care, both between different healthcare providers and across healthcare sectors. Care transitions can result in poor health outcomes, medication errors, readmissions, and dissatisfaction from patients and families. While a focus has been placed on enhancing care transitions through improving shared decision-making, relationships, communication, information-sharing, and increasing the involvement of family members, there remained a need for more specific detail and priority setting to facilitate actionable strategies for improvement in care transitions for adults with hip fracture. Objective: The aim of this study was to create a list of actionable and prioritized recommendations to improve care transitions for individuals with hip fracture from the perspectives of patients, caregivers, healthcare providers, and decision-makers. Methods: A mixed methods study, using a concept mapping approach was conducted. Key stakeholders (patients, caregivers, healthcare providers, and decision-makers) participated in three steps of concept mapping: brainstorming, sorting and rating and mapping. In the brainstorming sessions, participants generated ideas about what is needed to improve care transitions for hip fracture. The research team synthesized the statements generated into a final list of 74 statements. In the sorting and rating sessions, participants sorted the final statements into thematic piles (clusters) and rated them on a 5-point Likert-type scale based on their importance and priority (1= not at all important/priority; 5= extremely important/extreme priority). In the mapping session, a subset of participants took part in a group discussion to create a visual map, representing the final clusters. Results: Thirty-seven individuals participated in this concept mapping study, with the majority being healthcare providers. Most participants were also female and identified as women. There was limited representation across races, with most participants identifying as white. The final cluster map selected by participants was the 8-cluster map, which contained the following: (1) access to inpatient services and supports across the care continuum; (2) informed and collaborative discharge planning; (3) access to transitional and outpatient services; (4) communication, education and knowledge acquisition; (5) support for care partners; (6) person-centred care; (7) physical, social, and cognitive activities and supports; and (8) provider knowledge, skills, roles and behaviours. Statements were rated relatively high on both importance and priority, with all clusters having a mean rating of greater than three (moderate importance/priority). Participants rated Cluster 8 - provider knowledge, skills, roles and behaviours as the most important (mean=4.32) and highest priority cluster (mean=4.14). Conclusions: For adults with hip fracture, the delivery of integrated care across sectors is important, and of high priority, to patients, caregivers, healthcare providers, and decision-makers. Through the identification of actionable recommendations, future work can focus on the implementing programs and interventions that address the high priority areas.
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 | 0,023 | 0,048 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,006 |
| Études des sciences et des technologies | 0,011 | 0,003 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».