Levels of Engagement of South Asian Participants in Health Research: Effectiveness of Community-Based Research (CBR) Framework
Notice bibliographique
Résumé
Objectives: This study aims to explore the levels of engagement of South Asian participants in health research and to assess the effectiveness of the Community-Based Research (CBR) framework in promoting health equity among this diaspora in Canada. This review also seeks to identify the effectiveness of the democratic and inclusive model of CBR in integrating marginalized communities into health research. Methods: This review was conducted following Alamgir, et al.’s supplementation of Arksey and O’Malley’s scoping review methodological framework. EBSCO CINAHL, Ovid MEDLINE, and Ovid APA PsycINFO databases were searched with assistance from a University of Toronto librarian. Open-access papers, grey literature, and articles were searched through a snowball approach following the bibliographies of collected articles. The included articles fulfilled strict inclusion criteria and were published in English between January 2004 and July 2024. The data was screened, charted, and assessed for quality, rigour, and level of community engagement. The PI supervised, reviewed, supported, and edited each step in an insider-outsider role. Results: Out of 63 articles, 20 were selected, revealing unique methodologies and interaction models to engage with South Asian communities in research. Key findings indicate that the main challenges faced in implementing CBR in the South Asian Community are trust, transparency, and perceived benefits of the end-users in the community after the research is done. The democratic and inclusive model of CBR utilizing the Asset Based Community Development Framework engages members of the community as peer researchers throughout the research process and reports back to the community to overcome these challenges. The study also identified that the most successful methods to overcome are to adhere to culturally pertinent practices and apply a collaborative, inclusive and meaningful method of community engagement. Identified weaknesses of the research include participants not being involved throughout the entirety of the project, not many studies incorporating CBR; and a smaller number of insightful studies minimizing diversity and ensuring equity in this area. Conclusion: This study identifies key challenges of research on South Asians’ health and underscores the importance of adopting the Community-Based Research framework for conducting equity-informed studies with South Asians in which community members participate as research subjects and co-researchers.
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 | 0,359 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,004 | 0,006 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,008 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».