Protocol for a mixed methods process evaluation of the LinkMM randomised controlled trial “Use of link workers to provide social prescribing and health and social care coordination for people with complex multimorbidity in socially deprived areas” [version 1; peer review: 2 approved]

Background Multimorbidity, defined as two or more chronic conditions is increasing in prevalence and is associated with increased health care use, fragmented care and poorer health outcomes. Link workers are non-health or social care professionals who support people to connect with resources in their community to improve their well-being, a process commonly referred to as social prescribing. The use of link workers in primary care may be an effective intervention in helping those with long‐term conditions manage their illness and improve health and well‐being, but the evidence base in limited. The LinkMM study is a randomised controlled trial of the effectiveness of link workers based in primary care, providing social prescribing and health and social care coordination for people with multimorbidity. The aim of the LinkMM process evaluation is to investigate the implementation of the link worker intervention, mechanisms of impact and influence of the specific context on these, as per the Medical Research Council framework, using quantitative and qualitative methods. Methods Quantitative data will be gathered from a number of sources including researcher logbooks, participant baseline questionnaires, client management database, and will be analysed using descriptive statistics. Semi structured interviews with participants will investigate their experiences of the intervention. Interviews with link workers, practices and community stakeholders will explore how the intervention was implemented and barriers and facilitators to this. Thematic analysis of interview transcripts will be conducted. Discussion The process evaluation of the LinkMM trial will provide important information allowing a more in-depth understanding of how the intervention worked and lessons for future wider scale implementation.