Beyond quality improvement: exploring why primary care teams engage in a voluntary audit and feedback program
Notice bibliographique
Résumé
BACKGROUND: Despite its popularity, the effectiveness of audit and feedback in support quality improvement efforts is mixed. While audit and feedback-related research efforts have investigated issues relating to feedback design and delivery, little attention has been directed towards factors which motivate interest and engagement with feedback interventions. This study explored the motivating factors that drove primary care teams to participate in a voluntary audit and feedback initiative. METHODS: Interviews were conducted with leaders of primary care teams who had participated in at least one iteration of the audit and feedback program. This intervention was developed by an organization which advocates for high-quality, team-based primary care in Ontario, Canada. Interview transcripts were coded using the Consolidated Framework for Implementation Research and the resulting framework was analyzed inductively to generate key themes. RESULTS: Interviews were completed with 25 individuals from 18 primary care teams across Ontario. The majority were Executive Directors (14), Physician leaders (3) and support staff for Quality Improvement (4). A range of motivations for participating in the audit and feedback program beyond quality improvement were emphasized. Primarily, informants believed that the program would eventually become a best-in-class audit and feedback initiative. This reflected concerns regarding existing initiatives in terms of the intervention components and intentions as well as the perception that an initiative by primary care, for primary care would better reflect their own goals and better support desired patient outcomes. Key enablers included perceived obligations to engage and provision of support for the work involved. No teams cited an evidence base for A&F as a motivating factor for participation. CONCLUSIONS: A range of motivating factors, beyond quality improvement, contributed to participation in the audit and feedback program. Findings from this study highlight that efforts to understand how and when the intervention works best cannot be limited to factors within developers' control. Clinical teams may more readily engage with initiatives with the potential to address their own long-term system goals. Aligning motivations for participation with the goals of the audit and feedback initiative may facilitate both engagement and impact.
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 | 0,022 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 ».