Evidence map›Paper›PMID 38933412›Full record

ArticleJournal of market access & health policy2024

Future Possible Changes in Medically Underserved Areas in Japan: A Geographic Information System-Based Simulation Study.

Akihisa Nakamura, Eiji Satoh, Tatsuya Suzuki, Soichi Koike, Kazuhiko Kotani

Abstract read
In one paragraph

Article in Journal of market access & health policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Geographic access to radiotherapy facilities in Japan.Journal of radiation research · 2026
    Article
  2. Article
  3. Review
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

5 authors.

Akihisa NakamuraDivision of Community and Family Medicine, Center for Community Medicine, Jichi Medical University, Shimotsuke City 329-0498, Japan; m06066an@jichi.ac.jp.
Eiji SatohDepartment of Architecture and Urban Design, School of Regional Design, Utsunomiya University, Utsunomiya City 321-8585, Japan; e-satoh@cc.utsunomiya-u.ac.jp.
Tatsuya SuzukiProgram in Architecture, Civil and Environmental Engineering, Department of Engineering and Design, Kagawa University, Takamatsu City 761-0396, Japan; suzuki.tatsuya@kagawa-u.ac.jp.
Soichi KoikeDivision of Health Policy and Management, Center for Community Medicine, Jichi Medical University, Shimotsuke City 329-0498, Japan.
Kazuhiko KotaniDivision of Community and Family Medicine, Center for Community Medicine, Jichi Medical University, Shimotsuke City 329-0498, Japan; m06066an@jichi.ac.jp.ORCID https://orcid.org/0000-0001-8119-633X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA decrease in populations could affect healthcare access and systems, particularly in medically underserved areas (MUAs) where depopulation is becoming more prevalent. This study aimed to simulate the future population and land areas of MUAs in Japan.

methodsThis study covered 380,948 1 km meshes, 87,942 clinics, and 8354 hospitals throughout Japan as of 2020. The areas outside a 4 km radius of medical institutions were considered as MUAs, based on the measure of areas in the current Japanese Medical Care Act. Based on the population estimate for a 1 km mesh, the population of mesh numbers of MUAs was predicted for every 10 years from 2020 to 2050 using geographic information system analysis. If the population within a 4 km radius from a medical institution fell below 1000, the institution was operationally assumed to be closed.

resultsThe number of MUAs was predicted to decrease from 964,310 (0.77% of the total Japanese population) in 2020 to 763,410 (0.75%) by 2050. By 2050, 48,105 meshes (13% of the total meshes in Japan) were predicted to be new MUAs, indicating a 31% increase in MUAs from 2020 to 2050. By 2050, 1601 medical institutions were tentatively estimated to be in close proximity.

conclusionsIn Japan, the population of MUAs will decrease, while the land area of MUAs will increase. Such changes may reform rural healthcare policy and systems.

Indexed as

accessibilitygeographic information systemhealthcare policyinstitutional closurerural health

Identifiers

PMID38933412
PMCPMC11204928

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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.