Evidence map›Paper›PMID 41568120›Full record

ArticleJournal of rural medicine : JRM2026

Urban-rural differences in hospital beds and employee income: a study using the rurality index for healthcare research in Japan.

Hideki Murasawa, Tomoaki Ogata, Hiroto Ito

Abstract read
In one paragraph

Article in Journal of rural medicine : JRM, 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

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5 · Who and what money

Authors and funding

3 authors.

Hideki MurasawaDepartment of Health Policy and Management, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Japan.
Tomoaki OgataDepartment of Health Policy and Management, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Japan.
Hiroto ItoDepartment of Health Policy and Management, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigated the association between rurality and healthcare employees' income in Japan's secondary medical areas (SMAs), specifically focusing on whether hospital beds, particularly in public hospitals, contribute more to employee income in rural areas than in urban areas at the SMA level. To our knowledge, this is the first study to examine these associations using a validated rurality index for healthcare research in Japan (RIJ). Materials and Methods: This ecological cross-sectional study analyzed all the SMAs in Japan using publicly available data. SMAs were categorized into urban and rural areas using the RIJ cutoff values. Multiple linear regression analyses were conducted to examine the association between the proportion of employee income in healthcare (dependent variable) and number of hospital beds by type and ownership (explanatory variables). All variables were treated as continuous variables and the forced entry method was used. Hospital bed types included general and long-term care beds in both public and private hospitals, high-acuity hospital beds, and clinic beds per 100,000 population. Results: Of the 334 SMAs, 158 were classified as urban (low RIJ score) and 176 as rural (high RIJ score). In urban areas, general beds in private hospitals had the strongest association with healthcare employee income (β=0.396, Conclusion: This study demonstrated that the contribution of hospital bed type to healthcare employee income differs substantially between urban and rural areas. Rural areas depend more on general beds in public hospitals, whereas urban areas rely primarily on general beds in private hospitals. This study suggests that public hospitals, particularly their general bed numbers, play a critical role in sustaining essential healthcare services and supporting employee incomes in rural areas.

Indexed as

employee incomehospital bedsJapanpublic hospitalsrurality index

Identifiers

PMID41568120
PMCPMC12816959

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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.