Evidence map›Paper›PMID 42663398›Full record

SynthesisWomen's health (London, England)

Telehealth and maternal referral services: A systematic review and meta-analysis.

Edward Kwabena Ameyaw, Padmore Adusei Amoah, Samuel Ampadu Oteng, Genevieve Ataa Fordjour, Daniel Boakye

Abstract readSystematic ReviewMeta-AnalysisReview
In one paragraph

Synthesis in Women's health (London, England). 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.

Edward Kwabena AmeyawInstitute of Policy Studies and School of Graduate Studies, Lingnan University, Tuen Mun, Hong Kong SAR, China.ORCID 0000-0002-6617-237X
Padmore Adusei AmoahInstitute of Policy Studies and School of Graduate Studies, Lingnan University, Tuen Mun, Hong Kong SAR, China.
Samuel Ampadu OtengInstitute of Policy Studies and School of Graduate Studies, Lingnan University, Tuen Mun, Hong Kong SAR, China.
Genevieve Ataa FordjourDepartment of Psychology, The Education University of Hong Kong, Hong Kong SAR, China.
Daniel BoakyeReal-World Evidence and Epidemiology, PMI Global Studio Limited, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundHigh-quality healthcare during pregnancy, childbirth, and the postnatal period can reduce maternal and child mortality, which remain alarmingly high in LMICs. Telehealth has emerged as a transformative solution in healthcare delivery, leveraging telecommunications technology to deliver a variety of health-related services. This review synthesizes peer-reviewed evidence on the role of telehealth in maternal referral service delivery globally.ObjectivesAssess the role of telehealth in maternal referral service delivery globally.DesignSystematic review and meta-analysis.Data Sources and MethodsWe searched four databases, namely CINAHL, Web of Science, PubMed, and Scopus, for eligible studies published up to August 2025. The thematic analysis approach was conducted iteratively. The quality of the included studies was evaluated using the Mixed Methods Appraisal Tool (MMAT). Estimates of studies having comparable methodology were pooled in a meta-analysis using the random intercept logistic regression model. Summary prevalence estimates and their 95% confidence intervals (95% CIs) were calculated.ResultsA total of 12,984 articles were screened for eligibility, out of which 15 were included in this review. These telehealth interventions enhanced referral communication, monitoring and supported referral processes. The evidence also pointed to a generally positive reception of telehealth adoption among users, with a pooled user acceptance of 89.5% (95%CI: 67.2 to 97.3%), even though the results showed a high degree of heterogeneity (

Indexed as

Maternal Health ServicesReferral and ConsultationTelemedicineDigital HealthFemaleHumansPregnancymaternal healthmeta-analysismHealthreferral servicesystematic reviewtelemedicine

Identifiers

PMID42663398
PMCPMC13527359

What OpenQuestion holds

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Registered trials

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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.