Evidence map›Paper›PMID 40110615›Full record

ArticleInternational health2025

Understanding the primary healthcare context in rural South and Southeast Asia: a village profiling study.

Rusheng Chew, Sazid Ibna Zaman, Mst Asfat Ara Joly, Didar Uddin, Md Nurullah, James J Callery, Carlo Perrone, Thomas J Peto, Koukeo Phommasone, Aung Pyae Phyo and 9 more

Abstract read
In one paragraph

Article in International health, 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

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

2 citing papers in PubMed.

  1. Review
  2. Article
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

19 authors.

Rusheng ChewMahidol Oxford Tropical Medicine Research Unit, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.ORCID 0000-0002-8992-4474
Sazid Ibna ZamanMahidol Oxford Tropical Medicine Research Unit, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.
Mst Asfat Ara JolyGroupMappers, 6/20 Block-E, Lalmatia, Mohammadpur, Dhaka 1207, Bangladesh.
Didar UddinMahidol Oxford Tropical Medicine Research Unit, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.
Md NurullahGroupMappers, 6/20 Block-E, Lalmatia, Mohammadpur, Dhaka 1207, Bangladesh.
James J CalleryMahidol Oxford Tropical Medicine Research Unit, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.
Carlo PerroneMahidol Oxford Tropical Medicine Research Unit, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.
Thomas J PetoMahidol Oxford Tropical Medicine Research Unit, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.
Koukeo PhommasoneLao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Quai Fa Ngum, Sisattanak, Vientiane, Laos.
Aung Pyae PhyoShoklo Malaria Research Unit, 78/1 Moo 5, Mae Ramat, Tak 63140, Thailand.
Wanlapa RoobsoongMahidol Vivax Research Unit, Mahidol University, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.
Aninda SenBRAC, 75 Mohakhali, Dhaka 1212, Bangladesh.
Moul VannaAction for Health Development, 91 Street 614, Rumchek 2, Sangkat Ratanak, Battambang 021403, Cambodia.
Arjun ChandnaCentre for Tropical Medicine and Global Health, University of Oxford, New Richards Building, Roosevelt Drive, Headington Oxford OX3 7LG, UK.ORCID 0000-0003-1313-7922
Tiengkham PongvongsaSavannakhet Provincial Health Office, Khanthabouly Road, Kaysone Phomvihanh, Savannakhet, Laos.
Lek DysoleyNational Center for Parasitology, Entomology, and Malaria Control, 477 Betong Street, Trapaengsvay, Sangkat Phnom Penh Thmey, Phnom Penh 120801, Cambodia.
Nicholas P J DayMahidol Oxford Tropical Medicine Research Unit, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.
Yoel LubellMahidol Oxford Tropical Medicine Research Unit, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.
Richard J MaudeMahidol Oxford Tropical Medicine Research Unit, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.

Funding

Rotary FoundationRoyal Australasian College of PhysiciansUK GovernmentWellcome TrustWellcome Trust 215604/Z/19/ZWellcome Trust 220211/Z/20/Z
6 · The paper itself

Abstract

backgroundUnderstanding contextual factors is critical to the success of health service planning and implementation. However, few contextual data are available at the village level in rural South and Southeast Asia. This study addressed the gap by profiling representative villages across seven sites in Thailand (n=3), Cambodia, Laos, Myanmar and Bangladesh.

methodsKey informant surveys supplemented by other information sources were used to collect data from 687 villages on four key indicators (literacy rate, and percentages of attended deliveries, fully immunised children and latrine coverage), as well as access to various services. Data were analysed descriptively.

resultsSites varied considerably. Five were highly diverse ethno-culturally and linguistically, and all relied on primary health centres and village health/malaria workers as the main providers of primary healthcare. These were generally bypassed by severely ill patients for urban first-level referral hospitals and private sector facilities. While >75% of villages were near primary schools, educational attainment was generally low. Over 70% of villages at each site had mobile phone coverage and availability of electricity was high (≥65% at all sites bar Myanmar).

conclusionThese results illustrate the similarities and differences of villages in this region that must be considered in public health research and policymaking.

Indexed as

Health Services AccessibilityPrimary Health CareRural Health ServicesRural PopulationAdultAsia, SoutheasternFemaleHumansMaleMyanmarcontextSouth AsiaSoutheast Asiavillage profiling

Identifiers

PMID40110615
PMCPMC12406796

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.