BACKGROUND

Health research teams increasingly partner with stakeholders to produce research that is relevant, accessible, and widely used. Previous work has covered stakeholder group identification.

OBJECTIVE

We aimed to develop factors for health research teams to consider during identification and invitation of individual representatives in a multi-stakeholder research partnership, with the aim of forming equitable and informed teams.

DESIGN

Consensus development.

PARTICIPANTS

We involved 16 stakeholders from the international Multi-Stakeholder Engagement (MuSE) Consortium, including patients and the public, providers, payers of health services/purchasers, policy makers, programme managers, peer review editors, and principal investigators.

APPROACH

We engaged stakeholders in factor development and as co-authors of this manuscript. Using a modified Delphi approach, we gathered stakeholder views concerning a preliminary list of 18 factors. Over two feedback rounds, using qualitative and quantitative analysis, we concentrated these into ten factors.

KEY RESULTS

We present seven highly desirable factors: 'expertise or experience', 'ability and willingness to represent the stakeholder group', 'inclusivity (equity, diversity and intersectionality)', 'communication skills', 'commitment and time capacity', 'financial and non-financial relationships and activities, and conflict of interest', 'training support and funding needs'. Additionally, three factors are desirable: 'influence', 'research relevant values', 'previous stakeholder engagement'.

CONCLUSIONS

We present factors for research teams to consider during identification and invitation of individual representatives in a multi-stakeholder research partnership. Policy makers and guideline developers may benefit from considering the factors in stakeholder identification and invitation. Research funders may consider stipulating consideration of the factors in funding applications. We outline how these factors can be implemented and exemplify how their use has the potential to improve the quality and relevancy of health research.