Evidence map›Paper›PMID 33456409›Full record

ArticleJournal of mixed methods research2021

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

Abstract read
In one paragraph

Article in Journal of mixed methods research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jenevieve MannellUniversity College London, UK.ORCID https://orcid.org/0000-0002-7456-3194
Katy DavisUniversity of Leeds, UK.ORCID https://orcid.org/0000-0001-6936-4222
Kohenour AkterDiabetic Association of Bangladesh, Dhaka, Bangladesh.
Hannah JenningsUniversity of York, UK.
Joanna MorrisonUniversity College London, UK.
Abul KuddusDiabetic Association of Bangladesh, Dhaka, Bangladesh.
Edward FottrellUniversity College London, UK.

Funding

Medical Research Council MR/M016501/1Wellcome Trust
6 · The paper itself

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.

Indexed as

Bangladeshdiabetesparticipatory analysisrandomized controlled trials

Identifiers

PMID33456409
PMCPMC7770211

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.