Evidence map›Paper›PMID 41238373›Full record

ArticleBMJ health & care informatics2025

Examining healthcare inequality for non-communicable diseases in Malawi: a hierarchical geospatial modelling approach.

Yanjia Cao, Jiashuo Sun, Sali Ahmed, Pakwanja Twea, Jonathan Chiwanda Banda, David A Watkins, Yanfang Su

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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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

7 authors.

Yanjia CaoDepartment of Geography, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR yanjiac@hku.hk.ORCID http://orcid.org/0000-0002-8294-8924
Jiashuo SunDepartment of Geography, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR.
Sali AhmedDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Pakwanja TweaBergen Center for Ethics and Priority Setting, University of Bergen, Bergen, Norway.
Jonathan Chiwanda BandaDepartment of Curative and Medical Rehabilitation Services, Government of Malawi Ministry of Health, Lilongwe, Malawi.
David A WatkinsDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Yanfang SuDepartment of Global Health, University of Washington, Seattle, Washington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe prevalence of non-communicable diseases (NCDs) is rising in low- and middle-income countries, including Malawi, yet spatial inequalities in NCD healthcare coverage remain poorly understood. In this research, we aim to: (1) develop a novel hierarchical geospatial framework to assess population coverage and accessibility of NCD services in Malawi and (2) identify underserved areas and provide evidence for targeted resource allocation.

methodsUsing 2019 Malawi Harmonized Health Facility Assessment Survey, hierarchical catchment areas were defined by facility type-primary healthcare (PHCs), district-level and central hospitals, with distance thresholds of 5 km walking, 25 km driving and 100 km driving, respectively. Incorporating facility readiness, we computed population coverage at the third administrative level. When estimating spatial accessibility, we used enhanced two-step floating catchment area, applying Gaussian distance decay for chronic conditions and inverse power for acute conditions.

resultsSecondary and tertiary facilities (STFs) covered over 60% of population, providing broader NCD service than PHCs, where coverage was lower than 20%, particularly for acute conditions. Population coverage was higher in central and southeastern Malawi, notably around Mzuzu, Lilongwe and Blantyre. However, at least 24% of the population were not covered for any NCD conditions. Additionally, only 11.9% of the population lived in regions of high or very high accessibility to PHCs. DISCUSSION: We found substantial geographic inequalities in NCD service coverage and access, highlighting underserved regions and the demand to strengthen PHC readiness.

conclusionThis hierarchical geospatial approach offers insights for resource allocation and improving healthcare equity in other low-resource settings.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityNoncommunicable DiseasesCatchment Area, HealthHumansMalawiPrimary Health CareSpatial AnalysisComputing MethodologiesGlobal HealthHealth EquityHealth Services Accessibility

Identifiers

PMID41238373
PMCPMC12625903

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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.