Evidence map›Paper›PMID 38750486›Full record

SynthesisBMC medicine2024

Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries: a systematic review.

Marianne Ravn Knop, Michiko Nagashima-Hayashi, Ruixi Lin, Chan Hang Saing, Mengieng Ung, Sreymom Oy, Esabelle Lo Yan Yam, Marina Zahari, Siyan Yi

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 5 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.

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

53 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  12. The FemTech revolution: Unlocking the potential of new technology for optimizing pregnancy outcomes in low- and middle-income countries and remote areas.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
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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

9 authors.

Marianne Ravn Knop *Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Michiko Nagashima-Hayashi *Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Ruixi LinSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Chan Hang SaingSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Mengieng UngSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Sreymom OySaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Esabelle Lo Yan YamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Marina ZahariSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Siyan YiSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore. siyan@nus.edu.sg.ORCID 0000-0002-3045-5386

Funding

Gates Foundation INV-022514
6 · The paper itself

Abstract

backgroundMobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges confronting maternal, newborn, and child health (MNCH). This review aspires to scrutinize the effectiveness of mHealth interventions on MNCH outcomes during the pivotal first 1000 days of life, encompassing the period from conception through pregnancy, childbirth, and post-delivery, up to the age of 2 years.

methodsA comprehensive search was systematically conducted in May 2022 across databases, including PubMed, Cochrane Library, Embase, Cumulative Index to Nursing & Allied Health (CINAHL), Web of Science, Scopus, PsycINFO, and Trip Pro, to unearth peer-reviewed articles published between 2000 and 2022. The inclusion criteria consisted of (i) mHealth interventions directed at MNCH; (ii) study designs, including randomized controlled trials (RCTs), RCT variations, quasi-experimental designs, controlled before-and-after studies, or interrupted time series studies); (iii) reports of outcomes pertinent to the first 1000 days concept; and (iv) inclusion of participants from LMICs. Each study was screened for quality in alignment with the Cochrane Handbook for Systematic Reviews of Interventions and the Joanne Briggs Institute Critical Appraisal tools. The included articles were then analyzed and categorized into 12 mHealth functions and outcome domain categories (antenatal, delivery, and postnatal care), followed by forest plot comparisons of effect measures.

resultsFrom the initial pool of 7119 articles, we included 131 in this review, comprising 56 RCTs, 38 cluster-RCTs, and 37 quasi-experimental studies. Notably, 62% of these articles exhibited a moderate or high risk of bias. Promisingly, mHealth strategies, such as dispatching text message reminders to women and equipping healthcare providers with digital planning and scheduling tools, exhibited the capacity to augment antenatal clinic attendance and enhance the punctuality of child immunization. However, findings regarding facility-based delivery, child immunization attendance, and infant feeding practices were inconclusive.

conclusionsThis review suggests that mHealth interventions can improve antenatal care attendance and child immunization timeliness in LMICs. However, their impact on facility-based delivery and infant feeding practices varies. Nevertheless, the potential of mHealth to enhance MNCH services in resource-limited settings is promising. More context-specific implementation studies with rigorous evaluations are essential.

Indexed as

Child HealthDeveloping CountriesTelemedicineFemaleHumansInfantInfant HealthInfant, NewbornMaternal HealthPregnancyDigital healthHealthcare accessLow- and middle-income countriesMaternal and child healthmHealthPrimary care

Identifiers

PMID38750486
PMCPMC11095039

What Socratic 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 Socratic graph.