Evidence map›Paper›PMID 42213670›Full record

ArticlePloS one2026

Spatial analysis of accessibility to healthcare-related facilities in Tokyo Metropolis using geographic information systems.

Tomofumi Yamazaki, Seiichiro Ito, Yoko Ino, Kana Sugishita, Koichi Kageyama, Mugita Sato, Satoshi Nakao, Kazuya Nonomura, Hirofumi Tamaki, Kazuhiro Iguchi and 1 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Tomofumi YamazakiLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Seiichiro ItoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Yoko InoLaboratory of Pharmaceutical Health Care and Promotion, 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.
Satoshi NakaoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Japan.
Kazuya NonomuraLaboratory of Community Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
Hirofumi TamakiLaboratory of Community Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.ORCID https://orcid.org/0000-0002-4543-1176
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

Geographic disparities in access to health services are a growing concern in Japan as population aging and decline increase care needs and as resources concentrate in dense urban cores. Focusing on Tokyo Metropolis as a large and internally heterogeneous urban region, we used geographic information systems to evaluate spatial proximity to healthcare-related facilities-pharmacies, hospitals, clinics, dental clinics, and elderly welfare facilities-together with public transportation infrastructure. For pedestrian access, we calculated population coverage from 400 m to 3200 m Euclidean buffers around each facility. For transportation-related proximity, we calculated the proportion of facilities located within 250 m to 3000 m buffers around public transportation features (bus stops, bus routes, and railway stations). Bus stop-based facility-transportation proximity was consistently high across facility types in both the 23 special wards and the Tama region, whereas railway-station proximity displayed larger spatial variation between areas. Interpreted as an indicator for walkable proximity rather than effective service access, these results highlight where transportation connectivity and facility locations align or diverge. These findings underscore the necessity for healthcare and urban planning strategies that integrate local characteristics with transportation infrastructure.

Indexed as

Geographic Information SystemsHealth FacilitiesHealth Services AccessibilityHumansSpatial AnalysisTokyoTransportation

Identifiers

PMID42213670
PMCPMC13221066

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.