Visual Participatory Analysis: A Qualitative Method for Engaging Participants in Interpreting the Results of Randomized Controlled Trials of Health Interventions.
Visual Participatory Analysis: A Qualitative Method for Engaging Participants in Interpreting the Results of Randomized Controlled Trials of Health Interventions.
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DOI：
10.1177/1558689820914806
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发表时间：
2021-01
影响因子：
3.9
通讯作者：
Fottrell E
中科院分区：
文献类型：
--
作者：
Mannell J;Davis K;Akter K;Jennings H;Morrison J;Kuddus A;Fottrell E
本文介绍了一种从随机对照试验的定量结果中引出参与者观点的新方法，为混合方法领域做出了贡献。参与者很少被要求解释试验结果，这模糊了关于试验成功或失败的潜在有价值的信息。我们介绍了一种称为视觉参与式分析的独特方法，并讨论了将其作为孟加拉国预防风险和降低糖尿病患病率试验的一部分所获得的见解。研究结果强调了一些好处，如阐明对无效结果的情境化解释和确定因果机制，以及向外行受众传达随机对照试验方法的挑战。我们得出结论，视觉参与式分析是一种有价值的方法后，使用试验。
This article contributes to the field of mixed methods by introducing a new method for eliciting participant perspectives of the quantitative results of randomized controlled trials. Participants are rarely asked to interpret trial results, obscuring potentially valuable information about why a trial either succeeds or fails. We introduce a unique method called visual participatory analysis and discuss the insights gained in its use as part of a trial to prevent risk and reduce the prevalence of diabetes in Bangladesh. Findings highlight benefits such as elucidating contextualized explanations for null results and identifying causal mechanisms, as well as challenges around communicating randomized controlled trial methodologies to lay audiences. We conclude that visual participatory analysis is a valuable method to use after a trial.
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DOI：
10.1136/bmj.h1258
发表时间：
2015-03-19
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Moore GF;Audrey S;Barker M;Bond L;Bonell C;Hardeman W;Moore L;O'Cathain A;Tinati T;Wight D;Baird J
通讯作者：
Baird J
影响因子：
4.4
作者：
MacLellan, Jennifer;Surey, Julian;Mannell, Jenevieve
通讯作者：
Mannell, Jenevieve
影响因子：
2.1
作者：
Bauer, Martin W.
通讯作者：
Bauer, Martin W.
影响因子：
5.4
作者：
Cornwall, A;Jewkes, R
通讯作者：
Jewkes, R
影响因子：
6.9
作者：
CHAMBERS, R
通讯作者：
CHAMBERS, R