Sultana Afsana, Akhter Tahmina, Ahona Afra Anjum, Shariful Islam S M, Majumder Ananya, Banik Palash Chandra, Islam Mohammad Aminul
Department of Microbiology, Bangladesh University of Health Sciences, Dhaka, Bangladesh
Department of Noncommunicable Disease, Bangladesh University of Health Sciences, Dhaka, Bangladesh.
BMJ Open. 2025 Sep 4;15(9):e099566. doi: 10.1136/bmjopen-2025-099566.
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.
在发展中国家,母婴健康仍然是一项严峻的公共卫生挑战。每年估计有25万至28万例孕产妇死亡,其中高达95%归因于无法及时获得有效和高质量的医疗保健服务。虽然数字健康干预措施在改善高收入环境下的孕产妇保健服务、教育和支持方面已显示出巨大潜力,但其在资源有限环境中的有效性、可行性和更广泛影响仍未得到充分研究。
本系统评价将评估数字健康干预措施在发展中国家资源有限环境中对孕妇和新妈妈的有效性、可行性和影响。我们将全面检索MEDLINE(通过PubMed)、Embase、Scopus、谷歌学术和灰色文献来源,以识别以任何语言发表的随机对照试验、准实验研究和观察性研究。将使用Cochrane偏倚风险工具(随机试验用RoB 2,非随机研究用ROBINS-I工具)评估纳入研究的质量。将开发、试用并使用标准化数据提取表来系统收集研究数据。我们将采用基于网络的CADIMA平台来促进筛选、数据提取和证据综合,同时尽量减少偏倚。将通过总结研究特征并在适当时使用随机效应模型进行荟萃分析以计算合并效应量,对数据进行叙述性综合。最后,我们将使用推荐分级评估、制定和评价方法评估每个结果的证据强度,以评估对研究结果的信心。
本系统评价无需伦理批准,因为它仅使用先前发表的数据。研究结果将提交至同行评审期刊发表,并在相关国际会议上展示,以向更广泛的学术群体传播。为确保我们的结果得到实际应用,我们将编写一份政策简报,总结主要发现和建议。
PROSPERO注册号:本方案已在PROSPERO注册,注册号为CRD42025631164。