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Network methods to support user involvement in qualitative data analyses: an introduction to Participatory Theme
Paul Best1,2, Jennifer Badham3,4, Rekesh Corepal3,4
1School of Social Sciences, Education and Social Work, Queen's University, Belfast, UK. p.best@qub.ac.uk.
Background:
While Patient and Public Involvement (PPI) is encouraged throughout the research process, engagement is typically limited to intervention design and post-analysis stages. There are few approaches to participatory data analyses within complex health interventions.
Methods:
Using qualitative data from a feasibility randomised controlled trial (RCT), this proof-of-concept study tests the value of a new approach to participatory data analysis called Participatory Theme Elicitation (PTE). Forty excerpts were given to eight members of a youth advisory PPI panel to sort into piles based on their perception of related thematic content. Using algorithms to detect communities in networks, excerpts were then assigned to a thematic cluster that combined the panel members' perspectives. Network analysis techniques were also used to identify key excerpts in each grouping that were then further explored qualitatively.
Results:
While PTE analysis was, for the most part, consistent with the researcher-led analysis, young people also identified new emerging thematic content.
Conclusions:
PTE appears promising for encouraging user led identification of themes arising from qualitative data collected during complex interventions. Further work is required to validate and extend this method.
Trial Registration:
ClinicalTrials.gov, ID: NCT02455986 . Retrospectively Registered on 21 May 2015.
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