Overview
The NHS England funded Research Engagement Network in Greater Manchester is developing local partnerships between the Integrated Care system (ICS); NIHR Research infrastructure and Voluntary, Community, Faith and Social Enterprise (VCFSE) organisations to better support diverse communities to get involved in research.
The programme aims to increase the diversity of those who take part in research to be more representative of the local population; support engagement with communities who are typically underrepresented in research and support ICSs to develop and grow local Research Engagement Network activity.
The Greater Manchester REN programme is a partnership between The Greater Manchester NHS Integrated Care Partnership, working in collaboration with ourselves NIHR ARC-GM, Vocal; the Caribbean and African Health Network CIC ; the GM Voluntary, Charity and Social Enterprise (VCSE) Leadership Group and NIHR infrastructure in Greater Manchester.
Report
Find out more about the work of the Research Engagement Network in our latest report.
The Respectful Research Charter
Key Achievements
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Listened to a diverse range of communities from Greater Manchester about how they can be better supported to have a voice in research, co-creating the Respectful Research Charter as a framework for improved ways of working.
- Developed equitable partnerships with VCFSE organisations and provided funding to support VCFSE organisations to co-develop approaches that better support communities to be involved in research.
- Engaged system leaders who can embed learning from communities into system change, raising the profile of the importance of finding better ways of working to support inclusive research engagement, involvement and participation.
- Connected research organisations, from across Greater Manchester to ensure a more joined-up approach to working with underrepresented communities.
- Aligned with Greater Manchester initiatives such as GM Moving; Fairer Health for All, Live Well and 10GM Data Intelligence programmes to uncover areas of cross-over.
