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支持用户参与定性数据分析的网络方法:参与式主题引出法简介

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

作者信息

Best Paul, Badham Jennifer, Corepal Rekesh, O'Neill Roisin F, Tully Mark A, Kee Frank, Hunter Ruth F

机构信息

School of Social Sciences, Education and Social Work, Queen's University, Belfast, UK.

UKCRC Centre of Excellence for Public Health Northern Ireland, Belfast, Northern Ireland.

出版信息

Trials. 2017 Nov 23;18(1):559. doi: 10.1186/s13063-017-2289-5.

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.

摘要

背景

虽然在整个研究过程中都鼓励患者及公众参与(PPI),但参与通常仅限于干预设计和分析后阶段。在复杂的健康干预措施中,参与式数据分析的方法很少。

方法

本概念验证研究使用可行性随机对照试验(RCT)的定性数据,测试一种名为参与式主题引出(PTE)的参与式数据分析新方法的价值。从该可行性随机对照试验中选取了40段摘录,交给一个青年咨询PPI小组的8名成员,让他们根据对相关主题内容的理解进行分类。然后使用算法来检测网络中的群组,将摘录分配到一个结合了小组成员观点的主题集群中。还使用网络分析技术来确定每个分组中的关键摘录,然后对其进行进一步的定性探索。

结果

虽然PTE分析在很大程度上与研究者主导的分析一致,但年轻人也识别出了新出现的主题内容。

结论

PTE在鼓励用户主导识别复杂干预措施中收集的定性数据所产生的主题方面似乎很有前景。需要进一步开展工作来验证和扩展这种方法。

试验注册

ClinicalTrials.gov,标识符:NCT02455986。于2015年5月21日追溯注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1c1/5701364/15a1cd4ae92c/13063_2017_2289_Fig1_HTML.jpg

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