Evidence map›Paper›PMID 42097650›Full record

ArticleBMJ open2026

Economic evaluations of digital health interventions on maternal, newborn and child health in low-income and middle-income countries: a systematic review protocol.

Fei Wu, Brenda Soun, Binqi Zhan, Alec Morton, Siyan Yi

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.

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

5 authors.

Fei WuNational University Health System, Saw Swee Hock School of Public Health, National University of Singapore, Singapore.ORCID http://orcid.org/0000-0002-6212-8750
Brenda SounNational University Health System, Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Binqi ZhanUnited World College of South East Asia - Dover Campus, Singapore.
Alec MortonNational University Health System, Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Siyan YiNational University Health System, Saw Swee Hock School of Public Health, National University of Singapore, Singapore siyan@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital health interventions have emerged as promising solutions to strengthen maternal, newborn and child health (MNCH) systems in low-income and middle-income countries (LMICs). Although evidence on their effectiveness is growing, corresponding economic evaluations remain limited, heterogeneous and fragmented. Understanding the value for money of digital health interventions is essential for supporting scale-up decisions and efficient resource allocation. This protocol outlines the methods for a systematic review synthesising economic evaluations of digital health interventions across the MNCH continuum in LMICs. METHODS AND ANALYSIS: We will systematically search PubMed, Embase, Scopus, the Cochrane Library, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO and Turning Research Into Practice (TRIP) Pro for peer-reviewed studies published from 1 January 2000 to 31 December 2025. Backward citation searching (reference lists of included articles) and forward citation tracking will be performed to ensure comprehensive study identification, and study authors will be contacted when necessary to obtain missing or unclear data. Artificial intelligence (AI)-based Deep Research tools will be used as a supplementary approach to identify additional keywords and assess the completeness of the search strategy. Eligible studies will include full and partial economic evaluations embedded within randomised controlled trials, quasi-experiments, controlled before-and-after studies, time-series analyses, cohort or case-control designs, implementation studies and economic modelling studies. Three reviewers will independently conduct study selection and data extraction using a predefined form adapted from the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 guidelines. Methodological quality will be assessed using the Drummond checklist. Due to heterogeneity in study designs and economic methods, a narrative synthesis will be conducted. Costs will be standardised to the US dollar (USD) in 2024. ETHICS AND DISSEMINATION: This review will synthesise evidence from already published studies and does not involve the collection of primary data; therefore, ethical approval is not required. All data extracted will be derived from publicly available peer-reviewed literature, and no identifiable personal information will be used. The findings of this systematic review will be disseminated through publication in a peer-reviewed journal and presentations at academic conferences focused on global health, digital health and MNCH. In addition, the results will be shared with relevant stakeholders, including policymakers, programme implementers and organisations involved in digital health and MNCH in LMICs. PROSPERO REGISTRATION NUMBER: CRD420251125682.

Indexed as

Child HealthDeveloping CountriesDigital HealthInfant HealthMaternal HealthChildCost-Benefit AnalysisFemaleHumansInfant, NewbornResearch DesignSystematic Reviews as TopicChildDigital TechnologyMothers

Identifiers

PMID42097650
PMCPMC13157750

What OpenQuestion holds

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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.