Evidence map›Paper›PMID 41409107›Full record

ArticleBulletin of the World Health Organization2026

Trend analysis and modelling of universal health coverage, Ethiopia.

Yibeltal Assefa, Yalemzewod Assefa Gelaw, Aklilu Endalamaw, Eskinder Wolka, Anteneh Zewdie

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yibeltal AssefaSchool of Public Health, University of Queensland, Herston Road, Brisbane, Queensland, 4006, Australia.
Yalemzewod Assefa GelawThe Kids Research Institute, Perth, Australia.
Aklilu EndalamawSchool of Public Health, University of Queensland, Herston Road, Brisbane, Queensland, 4006, Australia.
Eskinder WolkaGlobal Programs, International Institute of Primary Health Care, Addis Ababa, Ethiopia.
Anteneh ZewdieGlobal Programs, International Institute of Primary Health Care, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the attainability of the 2030 universal health coverage (UHC) target of 80% using Ethiopia as a case study. Methods: We examined trends in Ethiopia's universal health service coverage index and its subindices between 2000 and 2021 in Ethiopia. To assess long-term progress, we projected coverage to 2030 and 2040 using Bayesian models. Simulation models evaluated the effect of expanding health system inputs, including service capacity and funding, on UHC. Findings: Ethiopia's universal health service coverage index increased steadily from 2000 to 2015 and slowed between 2015 and 2019 before progress stalled between 2019 and 2021. Projections indicate the country will achieve a UHC index of 64.7% by 2030, failing to meet the 80% target. Projected subindex values for 2030 were 68.4% for reproductive, maternal, neonatal and child health and 66.1% for infectious diseases but only 58.5% for noncommunicable diseases. Simulation modelling indicated that doubling health system inputs would only modestly increase UHC and that the 80% target is unlikely to be reached before 2040. Conclusion: The trajectory of UHC in Ethiopia reflects both achievements and persistent gaps in health services. Modelling suggests that boosting health system inputs alone will be insufficient to reach the 80% coverage target by 2030. Structural reforms, better governance and greater system integration are required. The modelling framework used could help other countries assess progress and design context-specific, equitable pathways towards UHC.

Indexed as

Universal Health InsuranceBayes TheoremEthiopiaHumansPattern Analysis, Machine

Identifiers

PMID41409107
PMCPMC12706747

What OpenQuestion holds

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LicenceCC BY
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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.