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Visual Participatory Analysis: A Qualitative Method for Engaging Participants in Interpreting the Results of Randomized Controlled Trials of Health Interventions
Journal of Mixed Methods Research ( IF 5.746 ) Pub Date : 2020-04-13 , DOI: 10.1177/1558689820914806
Jenevieve Mannell 1 , Katy Davis 2 , Kohenour Akter 3 , Hannah Jennings 4 , Joanna Morrison 1 , Abul Kuddus 3 , Edward Fottrell 1
Affiliation  

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.



中文翻译:

视觉参与分析:一种让参与者参与解释健康干预随机对照试验结果的定性方法

本文通过介绍一种新方法来引出随机对照试验定量结果的参与者观点,从而为混合方法领域做出贡献。参与者很少被要求解释试验结果,从而掩盖了有关试验成功或失败原因的潜在有价值的信息。我们介绍了一种称为视觉参与分析的独特方法,并讨论了在将其用作预防风险和降低孟加拉国糖尿病患病率的试验中获得的见解。研究结果突出了一些好处,例如阐明对无效结果的背景化解释和确定因果机制,以及围绕向非专业观众传达随机对照试验方法所面临的挑战。我们得出结论,视觉参与分析是一种在试验后使用的有价值的方法。

更新日期:2020-04-13
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