An exercise intervention for people with serious mental illness: Findings from a qualitative data analysis using participatory theme elicitation. (9th October 2020)

• Record Type: Journal Article
• Authors: Yap, Jade; McCartan, Claire; Davidson, Gavin; White, Chris; Bradley, Liam; Webb, Paul; Badham, Jennifer; Breslin, Gavin; Best, Paul
• Is Part Of: Health expectations. Volume 23:Number 6(2020)
• Page Start: 1579
• Page End: 1593
• Publication Date: 2020-10-09
• Subjects: coproduction, SMI -- exercise, participatory theme elicitation -- participatory data analysis -- Physical activity; Medical policy -- Periodicals; Public health -- Periodicals; Health planning -- Periodicals; 362.105
• DOI: 10.1111/hex.13141
• Languages: English
• ISSNs: 1369-6513

Abstract

Abstract: Background: People with severe mental illness (SMI) often have poorer physical health than the general population. A coproduced physical activity intervention to improve physical activity for people with SMI in Northern Ireland was evaluated by co‐researchers (researchers with lived experience of SMI) and academic researchers using a new approach to participatory data analysis called participatory theme elicitation (PTE). Objective: Co‐researchers and academic researchers analysed the data from the pilot study using PTE. This paper aimed to compare these analyses to validate the findings of the study and explore the validity of the PTE method in the context of the evaluation of a physical activity intervention for individuals with SMI. Results: There was alignment and congruence of some themes across groups. Important differences in the analyses across groups included the use of language, with the co‐researchers employing less academic and clinical language, and structure of themes generated, with the academic researchers including subthemes under some umbrella themes. Conclusions: The comparison of analyses supports the validity of the PTE approach, which is a meaningful way of involving people with lived experience in research. PTE addresses the power imbalances that are often present in the analysis process and was found to be acceptable by co‐researchers and academic researchers alike.