ArticleGlobal health, science and practice2024
The Impact of Health Information System Interventions on Maternal and Child Health Service Utilizations in Ethiopia: A Quasi-Experimental Study.
Article in Global health, science and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Severe maternal outcomes and their underlying causes in Ethiopia. Systematic review and meta-analysis.Women's health (London, England)Pooled it
- Effectiveness of the electronic Community Health Information System on maternal continuum of care completion in rural East Shewa Zone, Eastern Ethiopia: A prospective controlled quasi-experimental study.PLOS digital health · 2026Article
- A User-Centered Approach to Achieving High Degree of Digital Health Technology Utilization for Community HIV Case Management and Data Collection in Ethiopia.Global health, science and practice · 2026Article
- Utilization of routine health information system and its determinants among healthcare professionals in public health facilities of Banadir region, Somalia: A cross-sectional study.BMC health services research · 2026Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth information systems (HIS) are vital in supporting all aspects of managing health systems, financing, policymaking, and service delivery. A package of priority HIS interventions was piloted in selected woredas across all regions in Ethiopia. This study examined the impact of HIS interventions on maternal and child health (MCH) service utilization.
methodsA 2-arm quasi-experimental study was implemented in intervention and control woredas. Baseline and endline household and health facility surveys were conducted for both arms in 2020 and 2022, respectively. At baseline, 3,016 mothers and 167 health facilities were surveyed. At endline, 3,076 mothers and 160 health facilities were surveyed. The study used modified Performance of Routine Information System Management tools for the facility survey and a structured questionnaire for the household survey. Difference-in-difference (DID) analysis using mixed effect modeling was employed to measure changes and to account for clustering and control for likely confounders.
resultsIntervention sites showed greater improvements in 75% of key HIS performance indicators. The changes in 90% of the MCH service utilization indicators were higher in the intervention sites. Significant (DID:
conclusionsIn many of the MCH service utilization indicators, the changes in the intervention sites were significantly higher compared to the control sites, but it was not universal. Scale-up of performance monitoring teams is crucial because it is one of the key pathways that links HIS performance with MCH service utilization. Outcome indicators that showed no or lower improvement require in-depth investigation.
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