Technology-based innovative healthcare solutions for improving maternal and child health outcomes in low- and middle-income countries: A network meta-analysis protocol.

Abstract

The aims of the study were to synthesize the role of technology-based healthcare interventions (TBIs) and to identify the most effective interventions for the best functional maternal and child health (MCH) outcomes among low-risk pregnant women in low- and middle-income countries (LMICs). A systematic review and network meta-analysis (NMA). We will perform a comprehensive search in electronic databases and other resources to identify relevant randomized controlled trials. Two reviewers will independently perform study selection, data extraction and quality assessment. Our primary outcomes include proportion of recommended antenatal care visits, skilled delivery care, postnatal care visits and exclusive breastfeeding practices. We will use pairwise random-effects meta-analysis and NMAs to estimate direct, indirect and relative effects using the relevant intervention classifications for each outcome separately. We plan to assess hierarchy of interventions, statistical inconsistency and certainty of evidence. This review will compare the effectiveness of different form of TBIs on a comprehensive range of MCH outcomes and will provide the outcome-specific reliable evidence of the most effective interventions on improving MCH in LMICs. The review findings will guide researchers, stakeholders or policymakers on the potential use of TBIs in the given contexts that could achieve the best functional MCH outcomes in LMICs.