Understanding how context and culture in six communities can shape implementation of a complex intervention: a comparative case study
Notice bibliographique
Résumé
BACKGROUND: Contextual factors can act as barriers or facilitators to scaling-up health care interventions, but there is limited understanding of how context and local culture can lead to differences in implementation of complex interventions with multiple stakeholder groups. This study aimed to explore and describe the nature of and differences between communities implementing Health TAPESTRY, a complex primary care intervention aiming to keep older adults healthier in their homes for longer, as it was scaled beyond its initial effectiveness trial. METHODS: We conducted a comparative case study with six communities in Ontario, Canada implementing Health TAPESTRY. We focused on differences between three key elements: interprofessional primary care teams, volunteer program coordination, and the client experience. Sources of data included semi-structured focus groups and interviews. Data were analyzed through the steps of thematic analysis. We then created matrices in NVivo by splitting the qualitative data by community and comparing across the key elements of the Health TAPESTRY intervention. RESULTS: Overall 135 people participated (39 clients, 8 clinical managers, 59 health providers, 6 volunteer coordinators, and 23 volunteers). The six communities had differences in size and composition of both their primary care practices and communities, and how the volunteer program and Health TAPESTRY were implemented. Distinctions between communities relating to the work of the interprofessional teams included characteristics of the huddle lead, involvement of physicians and the volunteer coordinator, and clarity of providers' role with Health TAPESTRY. Key differences between communities relating to volunteer program coordination included the relationship between the volunteers and primary care practices, volunteer coordinator characteristics, volunteer training, and connections with the community. Differences regarding the client experience between communities included differing approaches used in implementation, such as recruitment methods. CONCLUSIONS: Although all six communities had the same key program elements, implementation differed community-by-community. Key aspects that seemed to lead to differences across categories included the size and spread of communities, size of primary care practices, and linkages between program elements. We suggest future programs engaging stakeholders from the beginning and provide clear roles; target the most appropriate clients; and consider the size of communities and practices in implementation. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03397836 .
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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 | 0,019 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,022 | 0,008 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,004 | 0,009 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».