Evidence map›Paper›PMID 42686194›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Postwar Decline in Healthcare Services Utilization With Rising Disparities: A Repeated Cross-Sectional Study Using Count Data Models.

Yemane Hailu Fissuh, Yemane Asmelash Gebretensae, Tesfay Hailu Shifarre, Mebrihit Berihu Mesfun

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Article in Inquiry : a journal of medical care organization, provision and financing. 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yemane Hailu FissuhDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences and Comprehensive Specialized Hospital, Aksum University, Axum, Tigray, Ethiopia.ORCID 0000-0002-1347-6994
Yemane Asmelash GebretensaeDepartment of Statistics, College of Natural and Computational Sciences, Aksum University, Axum, Tigray, Ethiopia.
Tesfay Hailu ShifarreDepartment of Mathematics, College of Natural and Computational Sciences, Aksum University, Axum, Tigray, Ethiopia.
Mebrihit Berihu MesfunDepartment of Biotechnology, College of Natural and Computational Sciences, Aksum University, Axum, Tigray, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionTigray experienced a devastating armed conflict in November 2020 that systematically dismantled one of the country's best-performing health systems, with only 30% of hospitals and 17% of health centers remaining functional six months into the war. This study aimed to compare several count data models in analyzing postwar healthcare services utilization disparity and associated factors in Eastern Tigray, Ethiopia.MethodsRepeated cross-sectional analytical study design employed secondary data from 20 facilities across 18 districts of Eastern Tigray comprising 2,040 observations. We compared many models and ZINB-GLMM was selected to handle the healthcare utilization with substantially excess zeros, unmeasured heterogeneity of facility, and potential period-specific interaction. The model considered demographic, service-related, geographic, and conflict-period factors. Model performance was compared using AIC and BIC.ResultsMean utilization declined from 335 recipients prewar to 41 postwar, an 87.8% reduction. The prewar period was significantly associated with higher rate of utilization compared with the postwar period (

Indexed as

Armed ConflictsHealthcare DisparitiesPatient Acceptance of Health CareCross-Sectional StudiesEthiopiaHumansarmed conflicteastern tigrayEthiopiamaternal healthcare services utilizationrepeated cross-sectional studyzero-inflated negative binomial generalized mixed-effects model (ZINB-GLMM)

Identifiers

PMID42686194
PMCPMC13539046

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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.