Evidence map›Paper›PMID 40908006›Full record

ArticleBMJ open2025

Assessing the maternal health-related digital health interventions for pregnant women and new mothers in developing countries: a protocol for a systematic review and meta-analysis.

Afsana Sultana, Tahmina Akhter, Afra Anjum Ahona, S M Shariful Islam, Ananya Majumder, Palash Chandra Banik, Mohammad Aminul Islam

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Afsana SultanaDepartment of Microbiology, Bangladesh University of Health Sciences, Dhaka, Bangladesh afsana.t.sultana@gmail.com.ORCID http://orcid.org/0009-0009-8049-6862
Tahmina AkhterDepartment of Noncommunicable Disease, Bangladesh University of Health Sciences, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0000-4050-9942
Afra Anjum AhonaDepartment of Epidemiology, Bangladesh University of Health Sciences, Dhaka, Bangladesh.
S M Shariful IslamDepartment of Reproductive and Child Health, Bangladesh University of Health Sciences, Dhaka, Bangladesh.
Ananya MajumderDepartment of Noncommunicable Disease, Bangladesh University of Health Sciences, Dhaka, Bangladesh.
Palash Chandra BanikDepartment of Noncommunicable Disease, Bangladesh University of Health Sciences, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0003-2395-9049
Mohammad Aminul IslamDepartment of Health Promotion and Health Education, Bangladesh University of Health Sciences, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0001-5636-3140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal and child health remains a critical public health challenge in developing countries. Annually, an estimated 250 000-280 000 maternal deaths occur, with up to 95% attributed to inadequate access to timely, effective and quality healthcare. While digital health interventions have demonstrated significant potential in improving maternal health services, education and support in high-income settings, their effectiveness, feasibility and broader impact in resource-limited contexts remain understudied. METHODS AND ANALYSIS: This systematic review will assess the effectiveness, feasibility and impact of digital health interventions for pregnant women and new mothers in resource-limited settings across developing countries. We will conduct a comprehensive search of MEDLINE (via PubMed), Embase, Scopus, Google Scholar and grey literature sources to identify randomised controlled trials, quasi-experimental studies and observational studies published in any language. The quality of included studies will be assessed using the Cochrane's risk of bias tools, RoB 2 for randomised trials and the ROBINS-I tool for non-randomised studies. A standardised data extraction form will be developed, piloted and used to systematically collect study data. We will employ the web-based CADIMA platform to facilitate screening, data extraction and evidence synthesis while minimising bias. Data will be synthesised narratively by summarising study characteristics and, where appropriate, through meta-analysis using random-effects models to calculate pooled effect sizes. Finally, we will evaluate the strength of the evidence for each outcome using the Grading of Recommendations Assessment, Development and Evaluation approach to assess confidence in the findings. ETHICS AND DISSEMINATION: No ethical approval was required for this systematic review, as it uses only previously published data. The findings will be submitted for publication in a peer-reviewed journal and presented at relevant international conferences to disseminate them to the broader academic community. To ensure practical application of our results, we will develop a policy brief summarising key findings and recommendations. PROSPERO REGISTRATION NUMBER: This protocol is registered to PROSPERO, and the registration number is CRD42025631164.

Indexed as

Developing CountriesMaternal HealthMaternal Health ServicesDigital HealthFemaleHumansMeta-Analysis as TopicPregnancyPregnant PeopleResearch DesignSystematic Reviews as TopicTelemedicineDigital TechnologyHEALTH ECONOMICSHealth informaticsPregnant WomenPUBLIC HEALTHSystematic Review

Identifiers

PMID40908006
PMCPMC12414156

What OpenQuestion holds

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LicenceCC BY-NC
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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.