Development and evaluation of a behaviour change intervention to increase general practitioner REferral of people with hip and knee osteoarthritis to community-based First-linE caRe (REFER): a mixed methods study
Notice bibliographique
Résumé
BACKGROUND: Globally osteoarthritis is a leading cause of pain and disability. General practitioners (GPs) have a critical role in the management of osteoarthritis in primary care, yet they also face numerous barriers to referral of people with osteoarthritis to osteoarthritis management programs that provide evidence based first line care (exercise, education, and weight management.) Thus, the aim of this project was to co-develop and evaluate the feasibility of a multi-faceted, theory-based behaviour change intervention to increase GP REferral of people with hip and knee osteoarthritis to community-based First-linE caRe (REFER). METHODS: This project involved a mixed-methods modified exploratory sequential design. Registered GPs or GP registrars with a case load including patients with hip or knee osteoarthritis were recruited in Victoria, Australia. Phase 1: REFER was initially designed by mapping GP-specific referral barriers to the behaviour change wheel. Registered GPs or GP registrars engaged in online, one-on-one semi-structured interviews to explore their learning preferences and refine REFER. Interviews were recorded, transcribed verbatim, and managed in NVIVO. Analyses involved an inductive, thematic approach. Phase 2: REFER was evaluated with a sample of GPs using the Reach, Effectiveness, Adoption, Implementation, and Maintenance Qualitative Evaluation for Systematic Translation (RE-AIM QuEST) framework. RESULTS: Phase 1: 25 GP interviews identified diverse learning preferences and barriers, including time, cost, and lack of enticing opportunities. Learning facilitators included quick and easily accessible options and earning professional development points. Almost all GPs agreed on including an online, interdisciplinary workshop with additional components (electronic medical record template, web-based toolkit, posters and flyers, booster follow-up session). Phase 2: 27 GPs participated in REFER, with 13 engaging in process evaluation interviews. REFER had high acceptability among GPs who participated and was associated with improved knowledge and confidence in OA guidelines and referral options, with a sub-set of GPs self-reporting increased referral behaviours to community-based osteoarthritis care. CONCLUSIONS: Improved GP knowledge and confidence in guidelines and referral options, alongside increased self-reported referral to first-line care indicates REFER has the potential to improve community-based osteoarthritis management. However, prior to scale-up, work is needed to improve reach and engagement with GPs, and to further refine the intervention.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».