Evidence map›Paper›PMID 33328057›Full record

Trial reportThe Lancet. Digital health2020

Electronic decision support and diarrhoeal disease guideline adherence (mHDM): a cluster randomised controlled trial.

Ashraful I Khan, Jasmine A Mack, M Salimuzzaman, Mazharul I Zion, Hasnat Sujon, Robyn L Ball, Stace Maples, Md Mahbubur Rashid, Mohammod J Chisti, Shafiqul A Sarker and 13 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Lancet. Digital health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03154229 (The Evaluation of a mHealth Platform for Diarrheal Disease Decision-support in Hospitals), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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.

NCT03154229 nacompletednot on this map

The Evaluation of a mHealth Platform for Diarrheal Disease Decision-support in Hospitals: a Cluster Randomized Controlled Trial

TypeinterventionalSponsorUniversity of FloridaRan2018 to 2018Enrolled4,975ConditionsDiarrheaArmsSmartphone-based decision-support, Paper-based decision-support, Pre-Assessment of practices
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Article
  6. Molecular Methods to DetectmedRxiv : the preprint server for health sciences · 2026
    Article
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  8. Microbial genomics · 2025
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  15. Observational
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  18. Diagnosis, Management, and Future Control of Cholera.Clinical microbiology reviews · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Ashraful I KhanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Jasmine A MackDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
M SalimuzzamanInstitute of Epidemiology, Disease Control and Research, Ministry of Health and Family Welfare, Government of Bangladesh, Dhaka, Bangladesh.
Mazharul I ZionInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Hasnat SujonInstitute of Epidemiology, Disease Control and Research, Ministry of Health and Family Welfare, Government of Bangladesh, Dhaka, Bangladesh.
Robyn L BallQuantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, USA.
Stace MaplesGeospatial Center, Stanford University Libraries, Stanford, CA, USA.
Md Mahbubur RashidInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Mohammod J ChistiNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Shafiqul A SarkerNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Debashish BiswasInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Raduan HossinInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Kevin L BardoshDepartment of Anthropology, University of Florida, Gainesville, FL, USA; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA.
Yasmin A BegumInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Azimuddin AhmedInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Dane PieriIndependent Technology Developer, San Francisco, CA, USA.
Farhana HaqueInstitute of Epidemiology, Disease Control and Research, Ministry of Health and Family Welfare, Government of Bangladesh, Dhaka, Bangladesh; Institute for Global Health, University College London, London, UK.
Mahmudur RahmanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh; Institute of Epidemiology, Disease Control and Research, Ministry of Health and Family Welfare, Government of Bangladesh, Dhaka, Bangladesh.
Adam C LevineDepartment of Emergency Medicine, Brown University, Providence, RI, USA.
Firdausi QadriInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Meerjady S FloraInstitute of Epidemiology, Disease Control and Research, Ministry of Health and Family Welfare, Government of Bangladesh, Dhaka, Bangladesh.
Matthew J GurkaDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Eric J NelsonDepartment of Pediatrics, University of Florida, Gainesville, FL, USA; Department of Environmental and Global Health, University of Florida, Gainesville, FL, USA; Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford University, Stanford, CA, USA. Electronic address: USAeric.nelson@ufl.edu.

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
A novel approach to improve patient care and diarrheal disease research using mobile technologyDP5OD019893 · OD · UNIVERSITY OF FLORIDA · PI NELSON, ERIC JORGE · 2014 to 2018
$1.9M
The evaluation of a mHealth platform for diarrheal disease decision support and real-time epidemiologyR21TW010182 · FIC · UNIVERSITY OF FLORIDA · PI KHAN, ASHRAFUL ISLAM, NELSON, ERIC JORGE · 2016 to 2017
$320k
FIC NIH HHS R21 TW010182NHGRI NIH HHS T32 HG000040NIH HHS DP5 OD019893
6 · The paper itself

Abstract

backgroundAcute diarrhoeal disease management often requires rehydration alone without antibiotics. However, non-indicated antibiotics are frequently ordered and this is an important driver of antimicrobial resistance. The mHealth Diarrhoea Management (mHDM) trial aimed to establish whether electronic decision support improves rehydration and antibiotic guideline adherence in resource-limited settings.

methodsA cluster randomised controlled trial was done at ten district hospitals in Bangladesh. Inclusion criteria were patients aged 2 months or older with uncomplicated acute diarrhoea. Admission orders were observed without intervention in the pre-intervention period, followed by randomisation to electronic (rehydration calculator) or paper formatted WHO guidelines for the intervention period. The primary outcome was rate of intravenous fluid ordered as a binary variable. Generalised linear mixed-effect models, accounting for hospital clustering, served as the analytical framework; the analysis was intention to treat. The trial is registered with ClinicalTrials.gov (NCT03154229) and is completed.

findingsFrom March 11 to Sept 10, 2018, 4975 patients (75·6%) of 6577 screened patients were enrolled. The intervention effect for the primary outcome showed no significant differences in rates of intravenous fluids ordered as a function of decision-support type. Intravenous fluid orders decreased by 0·9 percentage points for paper electronic decision support and 4·2 percentage points for electronic decision support, with a 4·2-point difference between decision-support types in the intervention period (paper 98·7% [95% CI 91·8-99·8] vs electronic 94·5% [72·2-99·1]; p

interpretationAlthough intravenous fluid orders did not change, electronic decision support was associated with increases in the volume of intravenous fluid ordered and decreases in antibiotics ordered, which are consistent with WHO guidelines.

fundingUS National Institutes of Health.

Indexed as

Decision Making, Computer-AssistedDecision Support Systems, ClinicalDelivery of Health CareGuideline AdherenceAdministration, IntravenousAdolescentAdultAnti-Bacterial AgentsBangladeshChildChild, PreschoolDiarrheaElectronicsFemaleFluid TherapyHospitalsAnti-Bacterial Agents

Identifiers

PMID33328057
PMCPMC8045011

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.