Evidence map›Paper›PMID 42049307›Full record

ArticleBMJ open2026

E-Patient Quality Improvement and Standardisation (EQIS) platform for improving maternal and paediatric clinical care in Bangladesh: study protocol for a prospective open cohort study.

Salahuddin Ahmed, Ahad Mahmud Khan, Sifat Binte Ibrahim, Farhana Ahmad, Md Minhajul Hossain, Anindita Tabassum, Sumaiya Afroze Khan, Sabbir Ahmed, Nabidul Haque Chowdhury, Md Shafiqul Islam and 10 more

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

20 authors.

Salahuddin AhmedProjahnmo Research Foundation, Dhaka, Bangladesh sahmed773@yahoo.com.ORCID http://orcid.org/0000-0001-6771-0638
Ahad Mahmud KhanProjahnmo Research Foundation, Dhaka, Bangladesh.
Sifat Binte IbrahimProjahnmo Research Foundation, Dhaka, Bangladesh.
Farhana AhmadProjahnmo Research Foundation, Dhaka, Bangladesh.
Md Minhajul HossainProjahnmo Research Foundation, Dhaka, Bangladesh.
Anindita TabassumProjahnmo Research Foundation, Dhaka, Bangladesh.
Sumaiya Afroze KhanProjahnmo Research Foundation, Dhaka, Bangladesh.
Sabbir AhmedProjahnmo Research Foundation, Dhaka, Bangladesh.
Nabidul Haque ChowdhuryProjahnmo Research Foundation, Dhaka, Bangladesh.
Md Shafiqul IslamProjahnmo Research Foundation, Dhaka, Bangladesh.
Chowdhury Ali KawserProjahnmo Research Foundation, Dhaka, Bangladesh.
Mohammod ShahidullahBangladesh College of Physicians and Surgeons, Dhaka, Bangladesh.
Ferdousi BegumObstetrical and Gynaecological Society of Bangladesh, Dhaka, Bangladesh.
Firoza BegumObstetrical and Gynaecological Society of Bangladesh, Dhaka, Bangladesh.
Farhana DewanObstetrical and Gynaecological Society of Bangladesh, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0008-1951-1851
Steven JohnsonPeabody Health Philanthrophy, San Francisco, California, USA.
Othman OuenesPeabody Health Philanthrophy, San Francisco, California, USA.
Mohammad EliasElias & Sultana Foundation, Windsor Mill, Maryland, USA.
Abdullah H BaquiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
John PeabodyPeabody Health Philanthrophy, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInappropriate healthcare practices are major contributors to poor outcomes of maternal and paediatric patients. Where resources are scarce, provider-level targeted interventions, such as implementation of standardised, evidence-based protocols and quality improvement initiatives, are particularly needed to address these gaps in care. Simulation-based tools have been shown to have a promising effect on improving clinical care management. This study aims to evaluate the effectiveness of a simulation-based platform called E-Patient Quality improvement and Standardisation (EQIS) in improving maternal and paediatric healthcare in Bangladesh. METHODS AND ANALYSIS: The study employs a prospective, open-cohort design and will be conducted across five tertiary-level hospitals in Dhaka, Bangladesh. All physicians engaged in providing maternal or paediatric care will be recruited. The EQIS platform will facilitate the development of online simulated cases, aiming to enhance physician practice and patient outcomes through involvement and immediate personalised feedback. The development of cases will consist of several stages of review by expert clinicians, ensuring that the cases align with national and local practice guidelines. Each participant physician will work on three cases per round, completing one of six rounds every 4 months for 2 years. The primary outcome will be the change in mean EQIS clinical performance score among participating physicians across evaluation rounds. Descriptive and inferential analysis will be done to assess trends in clinical performance and pinpoint areas for improvement. In addition, patient-level pre-impact and post-impact data will be collected. These data will evaluate the impact of the EQIS platform on physician performance, as measured by changes in patient satisfaction, treatment costs, referrals and facility utilisation. ETHICS AND DISSEMINATION: The study protocol was approved by the National Research Ethics Committee of the Bangladesh Medical Research Council (registration number: 59524062024). Dissemination of the study findings will be through meetings with stakeholders, conference presentations and publications in peer-reviewed journals.

Indexed as

PediatricsQuality ImprovementBangladeshChildFemaleHumansProspective StudiesResearch DesignTelemedicineeHealthMaternal medicinePAEDIATRICS

Identifiers

PMID42049307
PMCPMC13202185

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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.