Evidence map›Paper›PMID 34682527›Full record

ArticleInternational journal of environmental research and public health2021

Disparities in Healthcare Services and Spatial Assessments of Mobile Health Clinics in the Border Regions of Thailand.

Hiranya Sritart, Kuson Tuntiwong, Hiroyuki Miyazaki, Somchat Taertulakarn

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Geo-Enabling Public Health: A Systematic Review of GIS Applications.Advances in experimental medicine and biology · 2026
    Pooled it
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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

4 authors at 3 institutions in 2 countries.

Hiranya SritartFaculty of Allied Health Sciences, Thammasat University, Pathumthani 12120, Thailand.ORCID 0000-0003-2617-647X
Kuson TuntiwongSchool of Dentistry, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand.
Hiroyuki MiyazakiCenter for Spatial Information Science, Tokyo University, Chiba 277-8568, Japan.ORCID 0000-0001-7262-4566
Somchat TaertulakarnFaculty of Allied Health Sciences, Thammasat University, Pathumthani 12120, Thailand.
Thammasat University · THKing Mongkut's Institute of Technology Ladkrabang · THTokyo University of Information Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing the disparities in healthcare access is one of the important goals in healthcare services and is significant for national health. However, measuring the complexity of access in truly underserved areas is the critical step in designing and implementing healthcare policy to improve those services and to provide additional support. Even though there are methods and tools for modeling healthcare accessibility, the context of data is challenging to interpret at the local level for targeted program implementation due to its complexity. Therefore, the purpose of this study is to develop a concise and context-specific methodology for assessing disparities for a remote province in Thailand to assist in the development and expansion of the efficient use of additional mobile health clinics. We applied the geographic information system (GIS) methodology with the travel time-based approach to visualize and analyze the concealed information of spatial data in the finer analysis resolution of the study area, which was located in the border region of the country, Ubon Ratchathani, to identify the regional differences in healthcare allocation. Our results highlight the significantly inadequate level of accessibility to healthcare services in the regions. We found that over 253,000 of the population lived more than half an hour away from a hospital. Moreover, the relationships of the vulnerable residents and underserved regions across the province are underlined in the study and substantially discussed in terms of expansion of mobile health delivery to embrace the barrier of travel duration to reach healthcare facilities. Accordingly, this research study addresses regional disparities and provides valuable references for governmental authorities and health planners in healthcare strategy design and intervention to minimize the inequalities in healthcare services.

Indexed as

Health Services AccessibilityTelemedicineGeographic Information SystemsHealth FacilitiesThailandgeographic information systemhealthcare disparityspatial accessibilityspatial distribution

Identifiers

PMID34682527
PMCPMC8535297
OpenAlexW3205996140

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.