Evidence map›Paper›PMID 35277436›Full record

Trial reportJournal of epidemiology and community health2022

Equity impact of participatory learning and action community mobilisation and mHealth interventions to prevent and control type 2 diabetes and intermediate hyperglycaemia in rural Bangladesh: analysis of a cluster randomised controlled trial.

Malini Pires, Sanjit Shaha, Carina King, Joanna Morrison, Tasmin Nahar, Naveed Ahmed, Hannah Maria Jennings, Kohenour Akter, Hassan Haghparast-Bidgoli, A K Azad Khan and 4 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of epidemiology and community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 16% of its field
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

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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

14 authors at 4 institutions in 4 countries.

Malini PiresInstitute for Global Health, University College London, London, UK.ORCID 0000-0002-9609-7550
Sanjit ShahaCentre for Health Research and Implementation, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Carina KingDepartment of Global Public Health, Karolinska Institute, Stockholm, Sweden.
Joanna MorrisonInstitute for Global Health, University College London, London, UK.
Tasmin NaharCentre for Health Research and Implementation, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Naveed AhmedCentre for Health Research and Implementation, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Hannah Maria JenningsDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0002-8580-0327
Kohenour AkterCentre for Health Research and Implementation, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Hassan Haghparast-BidgoliInstitute for Global Health, University College London, London, UK.
A K Azad KhanCentre for Health Research and Implementation, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Anthony CostelloInstitute for Global Health, University College London, London, UK.
Abdul KuddusCentre for Health Research and Implementation, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Kishwar AzadCentre for Health Research and Implementation, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Edward FottrellInstitute for Global Health, University College London, London, UK e.fottrell@ucl.ac.uk.
The Centre for Health (New Zealand) · NZUniversity College London · GBDepartment of Medical Sciences · BYKarolinska Institutet · SE

Funding

Medical Research Council MR/M016501/1Medical Research Council MR/T023562/1
6 · The paper itself

Abstract

backgroundA cluster randomised trial of mHealth and participatory learning and action (PLA) community mobilisation interventions showed that PLA significantly reduced the prevalence of intermediate hyperglycaemia and type 2 diabetes mellitus (T2DM) and the incidence of T2DM among adults in rural Bangladesh; mHealth improved knowledge but showed no effect on glycaemic outcomes. We explore the equity of intervention reach and impact.

methodsIntervention reach and primary outcomes of intermediate hyperglycaemia and T2DM were assessed through interview surveys and blood fasting glucose and 2-hour oral glucose tolerance tests among population-based samples of adults aged ≥30 years. Age-stratified, gender-stratified and wealth-stratified intervention effects were estimated using random effects logistic regression.

resultsPLA participants were similar to non-participants, though female participants were younger and more likely to be married than female non-participants. Differences including age, education, wealth and marital status were observed between individuals exposed and those not exposed to the mHealth intervention.PLA reduced the prevalence of T2DM and intermediate hyperglycaemia in all age, gender and wealth strata. Reductions in 2-year incidence of T2DM of at least 51% (0.49, 95% CI 0.26 to 0.92) were observed in all strata except among the oldest and least poor groups. mHealth impact on glycaemic outcomes was observed only among the youngest group, where a 47% reduction in the 2-year incidence of T2DM was observed (0.53, 95% CI 0.28 to 1.00).

conclusionLarge impacts of PLA across all strata indicate a highly effective and equitable intervention. mHealth may be more suitable for targeting higher risk, younger populations. TRIAL REGISTRATION NUMBER: ISRCTN41083256.

Indexed as

Diabetes Mellitus, Type 2HyperglycemiaTelemedicineAdultBangladeshBlood GlucoseFemaleHumansPolyestersBlood GlucosePolyestersdiabetes mellitusepidemiologyinternational health

Identifiers

PMID35277436
PMCPMC9118071
OpenAlexW4220770468

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.