Evidence map›Paper›PMID 42382572›Full record

ArticleFrontiers in health services2026

Strengthening health systems in low and middle-income countries: performance determinants and pathways to universal health coverage.

Mayadhar Sethy, Sandhya R Mahapatro, Grace Bahalen Mundu, Dipti Mayee Sahoo

Abstract read
In one paragraph

Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

4 authors.

Mayadhar SethyDevelopment Studies, Nabakrushna Choudhury Centre for Development Studies, Bhubaneswar, Odisha, India.
Sandhya R MahapatroNabakrushna Choudhury Centre for Development Studies, Bhubaneswar, India.
Grace Bahalen MunduPG Department of Population Studies, Fakir Mohan University, Balasore, Odisha, India.
Dipti Mayee SahooDepartment of Business Administration, Trident Academy of Technology, Bhubaneswar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Health systems in low- and middle-income countries (LMICs) face persistent challenges in achieving universal health coverage (UHC). The COVID-19 pandemic exposed critical weaknesses in governance, financing, and infrastructure, while recent global reports indicate stalled progress toward health-related Sustainable Development Goals. This study addresses the need for evidence-based strategies to strengthen health systems by identifying key performance determinants and efficient resource allocation pathways. Methods: We constructed a longitudinal dataset for 135 LMICs (2000-2023) from WHO, World Bank, IHME, DHS/MICS, and ITU, using explicit imputation procedures to address irregular survey intervals. We employed fixed effects, system GMM, and structural equation modeling to analyze determinants of health system performance. Based on these econometric estimates, we developed mathematical optimization models (linear, multi-objective, and stochastic programming) to identify efficient resource allocation strategies under budget constraints. Inequality was analyzed using concentration indices and decomposition. Findings: A 10% increase in government health expenditure per capita is associated with a 3.2% reduction in out-of-pocket spending ( Interpretation: Strengthening health systems requires coordinated investments in governance, primary care, digital health, and financial protection. Our econometric and model-based analyses provide illustrative policy pathways. Reallocating existing resources and prioritizing primary care and pro-poor targeting could accelerate UHC progress. Policymakers should adopt integrated, context-specific strategies that balance efficiency, equity, and resilience.

Indexed as

econometric analysishealth system strengtheningLMICsmathematical modelingoptimizationuniversal health coverage

Identifiers

PMID42382572
PMCPMC13314607

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.