Concept mapping brainstorming results for improving care transitions for adults with hip fracture in Ontario, Canada
Notice bibliographique
Résumé
Introduction: Individuals who have experienced a hip fracture often undergo numerous transitions in care between providers and sectors. These transitions are a time of vulnerability with the potential for poor health outcomes and experiences, yet there are limited recommendations on how to improve this care journey for adults with hip fracture. Target Audience: The target audience for our study include decision-makers and providers with a hip fracture portfolio, as well as patients who have experienced a hip fracture and their unpaid caregivers. Who was involved: This study included patient and caregiver partners. They were involved in the grant application, study participant recruitment, data collection, and final data analysis. This study also included healthcare provider and decision-maker partners who supported participant recruitment and will be knowledge users. Aims and Methods: The aim of this study was to create a list of actionable recommendations to improve care transitions for individuals with hip fracture from the perspectives of patients, caregivers, providers, and decision-makers. We used a mixed methods concept mapping approach, to gather perspectives from these key stakeholders in Ontario, Canada. Here, we report on the results of the first phase of the concept mapping study. Participants created a list of statements that they felt would improve care transitions for individuals who had experienced a hip fracture. The statements were analyzed inductively and grouped thematically. Results: Thirty-two individuals participated in the brainstorming phase of this study (2 patients, 5 caregivers, 21 providers, 4 decision-makers). They created 887 statements that were condensed by the research team into 72 final statements. The final statements were grouped into seven main themes and were divided into four domains for care transition improvement. The first is the patient-related domain, which encompassed two themes: self-management and self-management-support, and rehabilitation therapy and activities. The second domain is provider-related and includes: healthcare provider skills and communication and trust. The third domain includes two system-related themes: continuity of care and health system efficiencies. The last domain relates to care processes with one theme: transition planning and follow up care. Learnings for the international audience: Previous literature on improving care transitions has had focused primarily on the transfer of information between care providers with little emphasis on the caregiver/patient role. Our results, however, highlight the importance of meaningful patient and caregiver engagement, with active involvement in all aspects of care including the transition process. Further, many statements created by our participants included policies, assessments, and care specific to individuals with hip fracture and cognitive impairment/delirium, emphasizing this as an important area for consideration when aiming to improve care transitions. Next Steps: The next phases of concept mapping will be conducted, which will include statement sorting and rating (importance and priority). A final concept mapping session will be held integrating the qualitative and quantitative data and an opportunity to reflect on the findings with key stakeholders. Statements that are rated highly importance and priority will inform actionable recommendations to improve care transitions for hip fracture.
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 | 0,016 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,009 | 0,003 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».