Evidence map›Paper›PMID 42203299›Full record

ArticleBMJ open2026

Testing and evaluating updated variants of the rurality index for Japan: a nationwide methodological study.

Makoto Kaneko, Takaaki Ikeda, Sayuri Shimizu, Takuya Sato, Osamu Nomura, Yuki Soma, Machiko Inoue, Koichi Benjyamin Ishikawa, Shinya Matsuda

Abstract read
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Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Makoto KanekoDepartment of Health Data Science, Yokohama City University, Yokohama, Japan kanekom@yokohama-cu.ac.jp.ORCID http://orcid.org/0000-0002-4581-8274
Takaaki IkedaDepartment of Health Policy Science, Graduate School of Medical Science, Yamagata University, Yamagata, Japan.ORCID http://orcid.org/0000-0003-4325-4492
Sayuri ShimizuDepartment of Health Data Science, Yokohama City University, Yokohama, Japan.
Takuya SatoDepartment of Emergency and Critical Care Medicine, The University of Tokyo Hospital, Bunkyo, Japan.
Osamu NomuraMedical Education Development Centre, Gifu University, Gifu, Japan.
Yuki SomaFaculty of Education, Hirosaki University, Hirosaki, Japan.
Machiko InoueDepartment of Family and Community Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.ORCID http://orcid.org/0000-0002-0799-5894
Koichi Benjyamin IshikawaGraduate School of Medicine, International University of Health and Welfare, Minato, Japan.
Shinya MatsudaDepartment of Nursing, Fukuoka International University of Health and Welfare, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo update the rurality index for Japan (RIJ) using the most recent national data and to test and evaluate the updated RIJ variants that incorporate alternative distance metrics and a modified classification of remote islands, thereby providing methodological guidance for their use in research and health policy.

designNationwide methodological study.

settingJapan.

participantsAll postal code areas in Japan; analyses were aggregated into municipalities and secondary medical care areas for evaluation. EXPOSURE: Six RIJ variants ('RIJ family') constructed by combining three distance metrics (direct distance, road-based distance and travel time by car) and two island classifications (original RIJ and modified RIJ), standardised to a continuous 0-100 scale using percentile ranks. PRIMARY OUTCOME MEASURES: Concordance among RIJ variants was assessed using Spearman's rank correlation coefficients, quintile reclassification matrices and rank-difference analyses; convergent validity was evaluated using the national physician distribution index. Criterion-related validity was assessed using municipal-level life expectancy for men and women.

resultsAll RIJ variants had extremely high concordance (Spearman's ρ≥0.99 across all pairwise comparisons). Compared with the previous RIJ classification, >98% of the geographic units remained in the same rurality quintile and <0.3% shifted by two or more quintiles across variants. Rank-difference analyses demonstrated that large changes were geographically limited and primarily concentrated in island areas. Convergent validity with physician distribution was moderate and consistent across variants (Spearman's ρ approximately -0.52). Criterion-related validity showed weak but significant negative correlations with life expectancy, which were stronger for males (ρ ≈ -0.27 to -0.29) than for females (ρ ≈ -0.17 to -0.19). These patterns were consistent with findings from the original RIJ study. We found no descriptive evidence that the associations with external indicators differed meaningfully across RIJ variants. The 95% CIs of the correlation coefficients largely overlapped across RIJ variants, suggesting no meaningful differences in their associations.

conclusionsDespite differences in distance metrics and island classification, all RIJ variants captured highly similar underlying dimensions of rurality and demonstrated comparable validity. These findings indicate that rurality measurement in Japan is stable regardless of methodological refinements, allowing RIJ variants to be flexibly selected according to specific research or policy purposes without materially affecting conclusions.

Indexed as

Rural PopulationFemaleHumansJapanLife ExpectancyMaleHealth EquityHealth policyPUBLIC HEALTH

Identifiers

PMID42203299
PMCPMC13218196

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