Evidence map›Paper›PMID 41150886›Full record

ArticleJournal of medical Internet research2025

Digital Health Interventions in Emergency Obstetric and Newborn Care Services in Low- and Middle-Income Countries: Scoping Review.

Ni Putu Shartyanie, Intan Noor Hanifa, Nushrat Khan

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

3 authors.

Ni Putu ShartyaniePopulation, Policy and Practice, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom.ORCID http://orcid.org/0009-0004-3609-1933
Intan Noor HanifaUniversitas Islam Indonesia, Yogyakarta, Indonesia.ORCID http://orcid.org/0009-0000-0972-2593
Nushrat KhanPopulation, Policy and Practice, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-4521-0920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The majority of global maternal and newborn deaths occur in low- and middle-income countries (LMICs), often due to a lack of resources, inadequate training of health care providers, and delayed or untimely care. Low-cost digital health interventions (DHIs) may help improve emergency obstetric and newborn care (EmONC) services in resource-limited settings by incorporating innovative approaches to enhance traditional models of care. Objective: This study aimed to systematically explore the key characteristics and usefulness of DHIs implemented for improving EmONC services in low-resource settings, as well as to identify barriers to implementation, given the importance of developing, implementing, and evaluating context-specific digital interventions for such settings. Methods: We followed the existing guidelines for conducting this scoping review, including the methodological framework for scoping studies, the updated Joanna Briggs Institute Methodology for Scoping Review, and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. We searched 3 databases-PubMed, Web of Science, and the Cochrane Library-and identified studies published before November 2024 that described digital interventions aimed at enhancing EmONC in LMICs. Extracted data included the following: purposes, features, and functionalities of DHIs, mode of delivery, outcomes, and barriers to implementation. We used the Mixed Methods Appraisal Tool for assessing study quality. Results: A total of 33 eligible studies from 18 countries were included in the review that described 21 distinct DHIs. Most qualitative (7/8) and mixed methods studies (4/5) were of high quality. However, most quantitative descriptive studies (15/20) had some form of sampling issues. The digital interventions were reported either as standalone interventions (n=19) or combined with other nondigital approaches (n=13). Most studies used mobile health-based interventions, primarily targeting health care providers (n=28) through mobile apps and text-based messaging, with a focus on EmONC education and training (n=19). The review's findings suggest generally positive impacts of DHIs on health care providers' clinical practices, although maternal and perinatal health outcomes varied depending on the type of intervention. Although DHIs have the potential to improve services and access to EmONC in various health care settings, the advancement and implementation of these technologies in LMICs have progressed at a slow pace. The most common barrier identified was the lack of EmONC resources such as medication, skilled workforce, and ambulances, which challenged the implementation of these interventions. Conclusions: Our findings highlight the potential of DHIs to improve EmONC services in resource-scarce settings. Future research is needed in this area, which should prioritize the rigorous evaluation of DHIs, focusing on maternal and perinatal health outcomes, addressing context-specific challenges in health infrastructure, and evaluating the cost-effectiveness to support the development, effective use, and regulation of DHIs in LMICs. The proposed framework, based on our findings, can be used as a guide to develop and implement DHIs for EmONC support in low-resource settings.

Indexed as

Developing CountriesEmergency Medical ServicesDigital HealthFemaleHumansInfant, NewbornPregnancyTelemedicinedigital healthdigital health interventionsemergency obstetric and newborn carelow- and middle-income countrieslow-resource settingsmaternal emergencyneonatal emergency

Identifiers

PMID41150886
PMCPMC12560964

What OpenQuestion 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 OpenQuestion graph.