Factors to Consider During Identification and Invitation of Individuals in a Multi-stakeholder Research Partnership

• DOI: 10.1007/s11606-022-07411-w
• Publication Date: 2022-02-07T19:03:51Z
• Authors: Roses Parker; Eve Tomlinson; Thomas W. Concannon; Elie Akl; Jennifer Petkovic; Vivian A. Welch; Sally Crowe; Marisha Palm; Ana Marusic; Comfort Ekanem; Imad Bou Akl; Michael Saginur; Lorenzo Moja; Tanja Kuchenmüller; Nevilene Slingers; Ligia Teixeira; Laura Dormer; Eddy Lang; Thurayya Arayssi; Regina Greer-Smith; Asma Ben Brahem; Marc Avey; Peter Tugwell
• Keywords: Identification

Abstract Background Health research teams increasingly partner with stakeholders to produce that is relevant, accessible, and widely used. Previous work has covered stakeholder group identification. Objective We aimed develop factors for health consider during identification invitation of individual representatives in a multi-stakeholder partnership, the aim forming equitable informed teams. Design Consensus development. Participants involved 16 from international Multi-Stakeholder Engagement (MuSE) Consortium, including patients public, providers, payers services/purchasers, policy makers, programme managers, peer review editors, principal investigators. Approach engaged factor development as co-authors this manuscript. Using modified Delphi approach, we gathered views concerning preliminary list 18 factors. Over two feedback rounds, using qualitative quantitative analysis, concentrated these into ten Key Results present seven highly desirable factors: ‘expertise or experience’, ‘ability willingness represent group’, ‘inclusivity (equity, diversity intersectionality)’, ‘communication skills’, ‘commitment time capacity’, ‘financial non-financial relationships activities, conflict interest’, ‘training support funding needs’. Additionally, three are desirable: ‘influence’, ‘research relevant values’, ‘previous engagement’. Conclusions partnership. Policy makers guideline developers may benefit considering invitation. Research funders stipulating consideration applications. outline how can be implemented exemplify their use potential improve quality relevancy research.