Evidence map›Paper›PMID 41696716›Full record

ArticleJournal of general and family medicine2026

Association Between Rurality and Financial Performance of Public Hospitals in Japan: A Nationwide Cross-Sectional Study.

Kota Sakaguchi, Takafumi Abe, Ayako Erabi, Tomotoshi Iseki, Kaneko Makoto, Yoshihiko Shiraishi, Takashi Watari

Abstract read
In one paragraph

Article in Journal of general and family medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

7 authors.

Kota SakaguchiGeneral Medicine Center Shimane University Hospital Shimane Japan.ORCID https://orcid.org/0000-0002-5169-6613
Takafumi AbeCenter for Community-Based Healthcare Research and Education (CoHRE) Head Office for Research and Academic Information, Shimane University Izumo Japan.ORCID https://orcid.org/0000-0001-8657-4707
Ayako ErabiFaculty of Medicine Shimane University Shimane Japan.
Tomotoshi IsekiDepartment of Management, Faculty of Business Administration Josai University Saitama Japan.
Kaneko MakotoDepartment of Health Data Science Yokohama City University Yokohama Kanagawa Japan.
Yoshihiko ShiraishiGeneral Medicine Center Shimane University Hospital Shimane Japan.
Takashi WatariGeneral Medicine Center Shimane University Hospital Shimane Japan.ORCID https://orcid.org/0000-0002-9322-8455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ensuring sustainable healthcare delivery in rural Japan is a policy priority. However, the relationship between geographic rurality, as measured objectively, and the financial performance of public hospitals essential to these areas remains underexplored. Objective: To examine the association between the Rurality Index for Japan (RIJ) and the likelihood of ordinary and medical service deficits in public hospitals, while adjusting for hospital size and bed occupancy rate. Methods: We conducted a nationwide cross-sectional study using the fiscal year 2022 yearbook from Japan's Ministry of Internal Affairs and Communications. The primary outcomes were ordinary and medical service deficits, defined as a balance ratio of < 100%. Multivariable logistic regression was used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (95% CIs) for RIJ quartiles, with hospital size and bed occupancy rate as covariates. Results: A total of 643 hospitals were analyzed. In unadjusted analyses, the highest rurality quartile (Q4) was associated with significantly higher odds of ordinary deficit (OR 1.79, 95% CI 1.11-2.88). However, in multivariable analyses, no statistically significant independent association was found between RIJ and either deficit. Conversely, larger hospitals (≥ 300 beds; aOR 0.53, 95% CI 0.32-0.89) and those with higher bed occupancy rates (≥ 65.6%) were significantly associated with lower odds of ordinary deficit. Conclusion: Hospital size and bed occupancy rate, rather than geographic rurality itself, are key structural factors associated with the financial sustainability of public hospitals in Japan.

Indexed as

financial performancehealthcare disparitieshealth policypublic hospitalsrural health servicesrurality index for Japan

Identifiers

PMID41696716
PMCPMC12897556

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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.