Evidence map›Paper›PMID 39349381›Full record

ArticleBMJ open2024

Progress and scenario-based projections of health service availability and coverage towards UHC in the post-conflict and post-pandemic Iraq: a Bayesian hierarchical regression approach.

Hiroko Taniguchi, Md Mizanur Rahman, Ashraf Hussain, Shuhei Nomura, Ganan Devanathan, Masahiro Hashizume

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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Hiroko TaniguchiDepartment of Global Health Policy, The University of Tokyo, Bunkyo-ku, Tokyo, Japan taniguchih@m.u-tokyo.ac.jp.ORCID 0000-0002-4487-4135
Md Mizanur RahmanHitotsubashi Institute for Advanced Study, Hitotsubashi Daigaku, Kunitachi, Tokyo, Japan.ORCID 0000-0001-9190-4707
Ashraf HussainDepartment of Family and Community Medicine, University of Babylon, Babil, Iraq.ORCID 0000-0003-2916-8205
Shuhei NomuraDepartment of Global Health Policy, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID 0000-0002-2963-7297
Ganan DevanathanDepartment of Global Health Policy, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Masahiro HashizumeDepartment of Global Health Policy, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTwo decades have passed since the beginning of the Iraq War in 2003. Iraq has long suffered from conflicts and instability, where the people have limited access to healthcare. The coronavirus disease (COVID-19) pandemic brought additional disruption to health service provision.

objectivesAt the midpoint towards universal health coverage (UHC) in 2030, this study aims to gain a better understanding of the trends of UHC progress in Iraq in the context of the conflicts and the COVID-19 pandemic and to indicate possible pragmatic options.

designThis study employed Bayesian hierarchical regression models to estimate trends and projections of health service availability and coverage indicators up to 2030. Furthermore, for health service coverage, four scenarios were defined based on the availability of health services, and projections were made for each scenario up to 2030.

settingOur approach used the yearly data from the Ministry of Health and four nationally representative household surveys between 2000 and 2020. We evaluated the subnational-level progress in three health service availability indicators and 13 health service coverage indicators in 18 governorates in Iraq from 2000 to 2030.

resultsThe findings from 2000 to 2020 revealed a lack of progress in the indicators of health facility and inpatient bed, and pronounced detrimental effects from major conflicts and the pandemic on all measured health service coverage indicators. Despite these setbacks, several health service coverage indicators demonstrated resilience and elasticity in their recovery. The projected trends for 2021 to 2030 indicated limited alternations in the health service availability. By 2030, five health service coverage indicators will achieve the designated 80% targets. A scenario-based analysis predicts improved coverage of antenatal care, and child immunisation and treatment if health service availability is bolstered to globally recommended standards. Under this scenario, several governorates-Anbar, Baghdad, Nainawa, Qadissiyah, Salahaddin, Thiqar and Wasit-presented improved health service coverage in more indicators.

conclusionStrengthened health service availability has the potential to significantly improve fragile health service coverage indicators and in more vulnerable governorates.

Indexed as

Bayes TheoremCOVID-19Health Services AccessibilityUniversal Health InsuranceHumansIraqPandemicsRegression AnalysisSARS-CoV-2accident & emergency medicinehealth policyhealth services accessibilityhealth workforceprimary health carepublic health

Identifiers

PMID39349381
PMCPMC11448108

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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.