Maternal 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.
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.
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.
This protocol is registered to PROSPERO, and the registration number is CRD42025631164.
To explore neonatal survival by type of neonatal complications at birth and referral pattern for these complications by place of delivery.
Bihar, India.
Women aged 15–49 years who had given live birth between July 2020 and June 2021.
Prevalence of neonatal complications at birth, referral pattern by complication and neonatal deaths by type of complication.
Data were available for 6767 (81.8%) newborns including 717 neonatal deaths. The prevalence of at least one neonatal complication at birth was reported for 32.9% (95% CI 32.4 to 33.4) newborns, with the most common complications including difficulty in breathing (21.9%), high fever (20.7%), low birth weight (12.5%) and jaundice (13.2%). A total of 578 (26.6%; 95% CI 25.8 to 27.4) neonates with complications at birth were referred to another health provider, predominantly to private sector (68.1%, 93% and 78.7% from public facility, private facility and home). The complications with high referrals included meconium aspiration syndrome (64.1%; 95% CI: 61.1 to 67.1), inability to pass urine (54.7%; 95% CI: 42.1 to 67.2), difficulty in suckling (49.7%; 95% CI: 46.9 to 52.5), cold to touch (48.5%; 95% CI: 43.5 to 53.6), inability to cry (47.2%; 95% CI: 44.2 to 50.1), pneumonia (45.6%; 95% CI: 42.0 to 49.1), difficulty in breathing (44.0%; 95% CI: 42.5 to 45.6) and lethargy (43.5%; 95% CI: 38.4 to 48.6). Referrals were linked to higher neonatal deaths, in particular, among neonates born at home and referred for complications (84.7%; p
With one-third of the neonates reported to have complications at birth and those referred more likely to die, critical gaps in addressing neonatal complications at birth and improvement in the referral services are urgently needed to reduce neonatal mortality.