Evidence map›Paper›PMID 42061974›Full record

ArticleBMJ global health2026

Climate, geography and socioeconomic vulnerability and emergency care accessibility in Nepal, 2022: a high-resolution geospatial analysis of inequalities.

Aldina Mesic, Andrea Davis, Carlos Ochoa, Shyam Sundar Budhathoki, Raslina Shrestha, Barclay T Stewart, Christopher Millett, Thomas Hone

Abstract read
In one paragraph

Article in BMJ global health, 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
–field-weighted citation impact
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

8 authors.

Aldina MesicDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK a.mesic@imperial.ac.uk.ORCID 0000-0001-6425-3777
Andrea DavisSchool of Environment, Society, and Sustainability, University of Utah, Salt Lake City, Utah, USA.
Carlos OchoaInstitute of Global Health, University of Geneva, Geneva, Switzerland.
Shyam Sundar BudhathokiDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Raslina ShresthaDepartment of Burns, Plastic, and Reconstructive Surgery, Kirtipur Hospital, Kathmandu, Nepal.
Barclay T StewartDepartment of Surgery, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-8099-9218
Christopher MillettDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Thomas HoneDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.ORCID 0000-0003-0703-6973

Funding

NIH National Institutes of Health Fogarty International Center D43-TW009345NIHR National Institute of Health Research (NIHR133314
6 · The paper itself

Abstract

backgroundStrengthening emergency care systems could reduce death and disability in low- and middle-income countries (LMICs), yet many struggle to provide timely, high-quality care. LMICs also face growing risks from climate-related shocks and mass casualty events. This study identifies unmet emergency care needs in Nepal-one of the world's most climate-vulnerable countries-using high-resolution geospatial data to estimate socioeconomic and climate-related inequalities.

methodsWe conducted a cross-sectional geospatial analysis using data from the 2022 Nepal Demographic and Health Survey (DHS), the 2021 DHS Service Provision Assessment and publicly available climate vulnerability data. Government hospitals were classified into three emergency care levels using World Health Organzation criteria: A (basic 24-hour services), B (A plus resuscitative capabilities) and C (B plus ≥50 beds and a surgeon). Household location and injury data were obtained from the DHS. Accessibility was defined as the proportion of the population within 1-hour and 2-hour travel times, estimated using AccessMod 5.8, incorporating road networks, rivers, land cover and elevation.

findingsMost public hospitals (77.7%) met Level A criteria but only 49.3% met Level B and 10.8% met Level C. Nationally, 78.7% of households had 1-hour access to Level A care, 71.8% to Level B and 44.6% to Level C. Adjusted logistic regression showed rural, poorer and climate-vulnerable households had significantly lower 1-hour access compared with urban households, rural households had lower odds of access: Level A OR: 0.33 (95%CI 0.30 to 0.37), Level B OR: 0.33 (95%CI 0.30 to 0.36), Level C OR: 0.56 (95%CI 0.51 to 0.61). Households in high climate vulnerability areas had reduced access across all levels.

conclusionsSubstantial gaps and inequities in timely access to high-quality emergency care exist in Nepal. Rural, poorer and climate-vulnerable populations experience markedly lower access. Targeted, decentralised strengthening of emergency care capacity is essential both in Nepal and in other LMICs facing similar constraints.

Indexed as

ClimateEmergency Medical ServicesHealthcare DisparitiesHealth Services AccessibilityCross-Sectional StudiesHumansNepalSocioeconomic Disparities in HealthSocioeconomic FactorsSpatial AnalysisInjuryNepal

Identifiers

PMID42061974
PMCPMC13141136

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.