What do you mean by engagement? – evaluating the use of community engagement in the design and implementation of chronic disease-based interventions for Indigenous populations – scoping review
Notice bibliographique
Résumé
BACKGROUND: Indigenous populations have remained strong and resilient in maintaining their unique culture and values, despite centuries of colonial oppression. Unfortunately, a consequential result of facing years of adversity has led Indigenous populations to experience a disproportionate level of poorer health outcomes compared to non-Indigenous populations. Specifically, the rate of Indigenous chronic disease prevalence has significantly increased in the last decade. Many of the unique issues Indigenous populations experience are deeply rooted in their colonial history and the intergenerational traumas that has subsequently impacted their physical, mental, emotional and spiritual well-being. With this, to better improve Indigenous health outcomes, understanding the local context of their challenges is key. Studies have begun to use modes of community engagement to initiate Indigenous partnerships and design chronic disease-based interventions. However, with the lack of a methodological guideline regarding the appropriate level of community engagement to be used, there is concern that many interventions will continue to fall short in meeting community needs. OBJECTIVE: The objective of this study was to investigate the how various community engagement strategies have been used to design and/or implement interventions for Indigenous populations with chronic disease. METHODS: A scoping review guided by the methods outlined by Arksey and O'Malley was conducted. A comprehensive search was completed by two reviewers in five electronic databases using keywords related to community engagement, Indigenous health and chronic disease. Studies were reviewed using a descriptive-analytical narrative method and data was categorized into thematic groups reflective of the main findings. RESULTS: We identified 23 articles that met the criteria for this scoping review. The majority of the studies included the use a participatory research model and the procurement of study approval. However, despite the claimed use of participatory research methods, only 6 studies had involved community members to identify the area of priority and only five had utilized Indigenous interview styles to promote meaningful feedback. Adapting for the local cultural context and the inclusion of community outreach were identified as the key themes from this review. CONCLUSION: Many studies have begun to adopt community engagement strategies to better meet the needs of Indigenous Peoples. With the lack of a clear guideline to approach Indigenous-based participatory research, we recommend that researchers focus on 1) building partnerships, 2) obtaining study approval and 3) adapting interventions to the local context.
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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 | 0,180 | 0,401 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,008 | 0,011 |
| Bibliométrie | 0,016 | 0,018 |
| Études des sciences et des technologies | 0,003 | 0,005 |
| Communication savante | 0,014 | 0,011 |
| Science ouverte | 0,004 | 0,008 |
| Intégrité de la recherche | 0,006 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».