Evidence map›Paper›PMID 41613989›Full record

ArticleDigital health

Impact of Health Information System Interventions on Maternal Health Service Utilization in Oromia and Gambella Regions, Ethiopia: A Comparative Cross-Sectional Study.

Kunuz Hajibedru Abadula, Abebaw Gebeyehu Worku, Gurmesa Tura Debelew, Muluemebet Abera Wordofa

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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kunuz Hajibedru AbadulaDepartment of Population and Family Health, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0002-7693-0242
Abebaw Gebeyehu WorkuJSI Research and Training Institute, Inc., Ethiopia Data Use Partnership, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-1146-3399
Gurmesa Tura DebelewDepartment of Population and Family Health, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0002-6216-3804
Muluemebet Abera WordofaDepartment of Population and Family Health, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0001-9232-822X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the association between Health Information System (HIS) performance and maternal health service (MHS) utilization in the Oromia and Gambella regions, Ethiopia. Methods: A comparative cross-sectional study was conducted (15-25 October 2023) among 840 mothers in catchment areas of health facilities categorized as model (high HIS performance) or candidate (lower HIS performance). HIS performance was evaluated based on infrastructure (30%), data quality (30%), and data use (40%). MHS utilization was measured using a modified composite coverage index (CCI) integrating 10 essential interventions. Multivariable logistic regression (Stata/MP 17.0) identified predictors, reporting adjusted odds ratios (AORs) and 95% confidence intervals (CIs). Results: MHS utilization was 60.3%, with higher crude odds in model facility areas (COR = 2.03, 95% CI [1.4-3.0]). After adjustment, this association attenuated (AOR = 1.4, 95% CI [0.92-2.15]). Key barriers included poverty (poorest quintile AOR = 0.45, 95% CI [0.30-0.68]) and limited transport access (AOR = 0.21, 95% CI [0.15-0.29]), which were associated with significantly lower MHS utilization. Sensitivity analyses confirmed robustness, and transport access modified the effect of facility type. Conclusion: HIS performance alone did not independently predict MHS utilization after accounting for structural inequities. Transportation and economic barriers disproportionately hinder access, even in high-performing systems. Integrating HIS strengthening with poverty-sensitive interventions (e.g., transport support, financial protection) is critical to achieving equitable maternal health outcomes.

Indexed as

composite coverage indexcross-sectional studyEthiopiaHealth information systemshealth services utilizationmaternal health servicessocioeconomic factors

Identifiers

PMID41613989
PMCPMC12847653

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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.