Evidence map›Paper›PMID 42647529›Full record

ArticlePloS one2026

Accessibility to medical institutions in Aichi Prefecture: A geographic information systems-based analysis.

Seiichiro Ito, Tomofumi Yamazaki, Kana Sugishita, Koichi Kageyama, Mugita Sato, Megumi Fujita, Satoshi Nakao, Nanaka Ichihara, Yuka Nokura, Moe Yamashita and 5 more

Abstract read
In one paragraph

Article in PloS one, 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

15 authors.

Seiichiro ItoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Tomofumi YamazakiLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Kana SugishitaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Koichi KageyamaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Mugita SatoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Megumi FujitaDepartment of Pharmacy, Gifu Prefectural Tajimi Hospital, Tajimi, Gifu, Japan.
Satoshi NakaoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Nanaka IchiharaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Yuka NokuraLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Moe YamashitaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Reia HattoriLaboratory of Community Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Hirofumi TamakiLaboratory of Community Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Yoko InoLaboratory of Pharmaceutical Health Care and Promotion, Gifu Pharmaceutical University, Gifu, Japan.
Kazuhiro IguchiLaboratory of Community Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.ORCID https://orcid.org/0000-0003-1506-9804
Mitsuhiro NakamuraLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.ORCID https://orcid.org/0000-0002-5062-5522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the geographic accessibility of medical institutions in Aichi Prefecture, Japan, using Geographic Information Systems (GIS). Three facility types-pharmacies, hospitals, and clinics-were analyzed across 11 secondary healthcare regions. Accessibility was evaluated based on spatial proximity by calculating population and elderly population coverage rates, defined as the proportion of residents located within the vicinity of medical institutions. Catchment areas were defined by travel mode: 400-m buffers represented a 5-min walk, and 2-km buffers approximated a 5-min drive. We tested how results changed when buffer distance varied from 300 m to 3 km. To assess proximity to transit stops and stations, 400-m buffers were generated around bus stops and train stations. Population data at the small-area level (chō-chō-aza units) from the 2020 Census of Japan were overlaid with buffer zones, and areal weighting was applied to estimate populations within buffers. Accessibility indicators were compared across regions and age groups. In the Nagoya-Owari Central region, nearly all residents were covered within 2 km of facilities (pharmacies 100%, hospitals 97%, clinics 100%), whereas the Higashimikawa Northern region had the lowest coverage (pharmacies 59%, hospitals 36%, clinics 72%). Elderly population coverage was lower than total population coverage in rural areas. In urban regions, coverage rates within 400 m of bus stops and train stations reached 96%, whereas in rural regions, they declined to below 50%. Overall, urban areas benefit from concentrated healthcare resources and extensive transit networks, whereas rural and mountainous regions remain underserved. Private-vehicle use may expand potential geographic reach for some residents; however, this does not demonstrate effective access to healthcare, particularly among older adults with mobility limitations. High proximity-based coverage does not imply timely or adequate service utilization. Geographic and demographic perspectives must be integrated into healthcare policy to support community care and sustainable resource allocation under population aging.

Indexed as

Geographic Information SystemsHealth FacilitiesHealth Services AccessibilityAgedHumansJapan

Identifiers

PMID42647529
PMCPMC13514043

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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.