How primary health care teams perceive the integration of oral health care into their practice: A qualitative study
Notice bibliographique
Résumé
Recently, new models for the integration of oral health into primary care have been proposed. However, these models may be adopted by a variety of health care systems, and will reach successful outcomes only if they can be adapted to suit the local context. To this end, the objective of this study was to explore the perceptions of Quebec primary health care teams on the integration of oral health into primary care. A qualitative approach and interpretive description methodology were used to conduct the study within a case-study design. Purposeful sampling with maximum variation and snowball technique were used for recruitment of study participants. Seventy-four in-depth, semi-structured interviews and five focus groups were conducted with primary health care teams including health care providers and managers working in a rural and an urban health care center. The interview guide and study conceptual framework were based on the Rainbow model. Data collection and data analyses were conducted concurrently and continued until saturation was achieved. To analyze the data, four phases of qualitative analysis were followed. The thematic analysis included interview debriefing, transcript coding, data display, and interpretation. Data analysis was conducted both manually and with the use of Atlas-ti software. A total of four themes emerged from the interviews and focus group discussions. These themes covered all domains of the study theoretical model and included: 1) drivers of integration; 2) importance of integration; 3) professionals' role in integrated care; and 4) barriers and enablers of integration. In general, most of the barriers expressed by study participants were related to the organizational and system domains of integration. Primary health care teams who provide care in rural and urban areas in Quebec expressed their concerns on the absence of integrated oral health services. Implementation of governance policies, the prioritization of educational and management measures as well as inter-professional collaboration toward innovative care models could facilitate this integration.
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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 | 0,002 | 0,001 |
| 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 | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».