Paul Best
Network methods to support user involvement in qualitative data analyses: an introduction to Participatory Theme Elicitation
Best, Paul; Badham, Jennifer; Corepal, Rekesh; O'Neill, Roisin F.; Tully, Mark A.; Kee, Frank; Hunter, Ruth F.
Authors
Jennifer Badham
Rekesh Corepal
Roisin F. O'Neill
Mark A. Tully
Frank Kee
Ruth F. Hunter
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.
Citation
Best, P., Badham, J., Corepal, R., O'Neill, R. F., Tully, M. A., Kee, F., & Hunter, R. F. (2017). Network methods to support user involvement in qualitative data analyses: an introduction to Participatory Theme Elicitation. Trials, 18, Article 559. https://doi.org/10.1186/s13063-017-2289-5
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 24, 2017 |
Online Publication Date | Nov 23, 2017 |
Publication Date | 2017 |
Deposit Date | Sep 29, 2021 |
Publicly Available Date | Sep 29, 2021 |
Journal | Trials |
Publisher | BioMed Central |
Peer Reviewed | Peer Reviewed |
Volume | 18 |
Article Number | 559 |
DOI | https://doi.org/10.1186/s13063-017-2289-5 |
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Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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