首页    期刊浏览 2025年02月17日 星期一
登录注册

文章基本信息

  • 标题:Network methods to support user involvement in qualitative data analyses: an introduction to Participatory Theme Elicitation
  • 本地全文:下载
  • 作者:Paul Best ; Jennifer Badham ; Rekesh Corepal
  • 期刊名称:Trials
  • 印刷版ISSN:1745-6215
  • 电子版ISSN:1745-6215
  • 出版年度:2017
  • 卷号:18
  • 期号:1
  • 页码:559
  • DOI:10.1186/s13063-017-2289-5
  • 语种:English
  • 出版社:BioMed Central
  • 摘要: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. 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. While PTE analysis was, for the most part, consistent with the researcher-led analysis, young people also identified new emerging thematic content. 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. ClinicalTrials.gov, ID: NCT02455986 . Retrospectively Registered on 21 May 2015.
  • 关键词:Network analysis ; Participatory analysis ; User involvement ; Trials ; Patient and public involvement
国家哲学社会科学文献中心版权所有