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Published in: Trials 1/2017

Open Access 01-12-2017 | Methodology

Network methods to support user involvement in qualitative data analyses: an introduction to Participatory Theme Elicitation

Authors: Paul Best, Jennifer Badham, Rekesh Corepal, Roisin F. O’Neill, Mark A. Tully, Frank Kee, Ruth F. Hunter

Published in: Trials | Issue 1/2017

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Abstract

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.
Appendix
Available only for authorised users
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Metadata
Title
Network methods to support user involvement in qualitative data analyses: an introduction to Participatory Theme Elicitation
Authors
Paul Best
Jennifer Badham
Rekesh Corepal
Roisin F. O’Neill
Mark A. Tully
Frank Kee
Ruth F. Hunter
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Trials / Issue 1/2017
Electronic ISSN: 1745-6215
DOI
https://doi.org/10.1186/s13063-017-2289-5

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