Bridging Research, Accurate Information and Dialogue (BRAID): A Novel Strategy to Build Community Trust
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View abstract on PubMed
Summary
This summary is machine-generated.The Bridging Research, Accurate Information and Dialogue (BRAID) model builds trust in marginalized communities for COVID-19 vaccine uptake. Empowering community experts disseminates accurate health information through social networks, enhancing public health communication.
Area Of Science
- Community-engaged participatory research
- Public health communication strategies
- Health equity and vaccine access
Background
- Structural racism has eroded community trust in public health institutions, impacting COVID-19 vaccine uptake.
- Rebuilding trust is crucial for overcoming vaccine hesitancy and promoting public health.
- The Bridging Research, Accurate Information and Dialogue (BRAID) model addresses these challenges.
Purpose Of The Study
- To describe an innovative community-engaged participatory research model.
- To demonstrate BRAID's potential for building trust and disseminating accurate health information.
- To leverage social networks for improved health communication.
Main Methods
- BRAID utilized facilitated conversation circles with community experts, clinicians, and scientists.
- Community experts shared experiences, concerns, and questions in a safe, informal setting.
- Community experts codesigned and coproduced health messages, with dialogues and surveys analyzed.
Main Results
- Participants reported increased trust in health systems and research through the BRAID model.
- The model empowered community experts to share information within their social networks.
- BRAID facilitated the development of acceptable and accurate COVID-19 vaccine messages.
Conclusions
- BRAID is a manualized community engagement model designed to enhance COVID-19 vaccine uptake in marginalized communities.
- The model fosters trust, crucial for addressing controversial health topics.
- BRAID's approach can amplify the reach and impact of public health communications.
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