Can you be a peer if you don’t share the same health or social conditions? A qualitative study on peer integration in a primary care setting
Notice bibliographique
Résumé
BACKGROUND: Peer support has been extensively studied in specific areas of community-based primary care such as mental health, substance use, HIV, homelessness, and Indigenous health. These programs are often built on the assumption that peers must share similar social identities or lived experiences of disease to be effective. However, it remains unclear how peers can be integrated in general primary care setting that serves people with a diversity of health conditions and social backgrounds. METHODS: A participatory qualitative study was conducted between 2020 and 2022 to explore the feasibility, acceptability, and perceived effects of the integration of a peer support worker in a primary care setting in Montreal, Canada. A thematic analysis was performed based on semi-structured interviews (n = 18) with patients, relatives, clinicians, and a peer support worker. FINDINGS: Findings show that peers connect with patients through sharing their own hardships and how they overcame them, rather than sharing similar health or social conditions. Peers provide social support and coaching beyond the care trajectory and link identified needs with available resources in the community, bridging the gap between health and social care. Primary care clinicians benefit from peer support work, as it helps overcome therapeutic impasses and facilitates communication of patient needs. However, integrating a peer into a primary care team can be challenging due to clinicians' understanding of the nature and limits of peer support work, financial compensation, and the absence of a formal status within healthcare system. CONCLUSION: Our results show that to establish a relationship of trust, a peer does not need to share similar health or social conditions. Instead, they leverage their experiential knowledge, strengths, and abilities to create meaningful relationships and reliable connections that bridge the gap between health and social care. This, in turn, instills patients with hope for a better life, empowers them to take an active role in their own care, and helps them achieve life goals beyond healthcare. Finally, integrating peers in primary care contributes in overcoming obstacles to prevention and care, reduce distrust of institutions, prioritize needs, and help patients navigate the complexities of healthcare services.
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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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,002 |
| 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.
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