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An exercise intervention for people with serious mental illness: Findings from a qualitative data analysis using participatory theme elicitation
Author(s) -
Yap Jade,
McCartan Claire,
Davidson Gavin,
White Chris,
Bradley Liam,
Webb Paul,
Badham Jennifer,
Breslin Gavin,
Best Paul
Publication year - 2020
Publication title -
health expectations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.314
H-Index - 74
eISSN - 1369-7625
pISSN - 1369-6513
DOI - 10.1111/hex.13141
Subject(s) - participatory action research , mental illness , intervention (counseling) , context (archaeology) , psychology , citizen journalism , mental health , applied psychology , medicine , psychotherapist , psychiatry , sociology , computer science , paleontology , world wide web , anthropology , biology
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.

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