Visual Participatory Analysis: A Qualitative Method for Engaging Participants in Interpreting the Results of Randomized Controlled Trials of Health Interventions

  • Jenevieve Mannell
  • , Katy Davis
  • , Kohenour Akter
  • , Hannah Jennings
  • , Joanna Morrison
  • , Abul Kuddus
  • , Edward Fottrell

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)18-36
Number of pages19
JournalJournal of Mixed Methods Research
Volume15
Issue number1
DOIs
Publication statusPublished - 1 Jan 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Bangladesh
  • diabetes
  • participatory analysis
  • randomized controlled trials

Fingerprint

Dive into the research topics of 'Visual Participatory Analysis: A Qualitative Method for Engaging Participants in Interpreting the Results of Randomized Controlled Trials of Health Interventions'. Together they form a unique fingerprint.

Cite this