Evidence map›Paper›PMID 40768758›Full record

ArticleJMIR aging2025

Analyzing Disparity in Geographical Accessibility to Home Medical Care Using a Claims Database and Geographical Information System: Simulation Study.

Yasuhiro Morii, Yasuhiro Nakanishi, Yuichi Nishioka, Yukio Tsugihashi, Tatsuya Noda, Tomoya Myojin, Tomoaki Imamura, Manabu Akahane

Abstract read
In one paragraph

Article in JMIR aging, 2025. 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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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Yasuhiro MoriiCenter for Outcomes Research and Economic Evaluation for Health, National Institute of Public Health, Wako, Japan.ORCID http://orcid.org/0000-0003-1392-3229
Yasuhiro NakanishiDepartment of Health and Welfare Services, National Institute of Public Health, 2-3-6 Minami, Wako, 351-0197, Japan, +81 484586347, +81 484687985.ORCID http://orcid.org/0000-0002-3676-5190
Yuichi NishiokaDepartment of Public Health, Health Management and Policy, Nara Medical University, Kashihara, Japan.ORCID http://orcid.org/0000-0002-1956-3925
Yukio TsugihashiDepartment of Public Health, Health Management and Policy, Nara Medical University, Kashihara, Japan.ORCID http://orcid.org/0000-0003-3713-5710
Tatsuya NodaDepartment of Public Health, Health Management and Policy, Nara Medical University, Kashihara, Japan.ORCID http://orcid.org/0000-0002-3652-7547
Tomoya MyojinDepartment of Public Health, Health Management and Policy, Nara Medical University, Kashihara, Japan.ORCID http://orcid.org/0000-0002-3820-6157
Tomoaki ImamuraDepartment of Public Health, Health Management and Policy, Nara Medical University, Kashihara, Japan.ORCID http://orcid.org/0000-0003-1981-9959
Manabu AkahaneDepartment of Health and Welfare Services, National Institute of Public Health, 2-3-6 Minami, Wako, 351-0197, Japan, +81 484586347, +81 484687985.ORCID http://orcid.org/0000-0003-4184-2151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The demand for home medical care services has increased in aging societies. Therefore, allocating health care resources optimally to meet the needs of each community is essential. Geographical accessibility is an important factor affecting access to home medical care services; however, little research has been conducted on regional disparities in geographical accessibility. Objective: This study aims to analyze the regional disparities in geographical accessibility to home medical care services using the Kokuho database (KDB), a comprehensive medical claims database for a prefecture in Japan. Methods: This study included 39 municipalities in Nara Prefecture, Japan. Using a geographical information system, accessibility to home medical care services, that is, travel distance and time from hospitals and clinics to hypothetical patients, was analyzed in two scenarios: (1) an ideal scenario, where we assumed that all hospitals or clinics in Nara Prefecture provided those services and (2) an actual scenario, where hospitals or clinics in Nara Prefecture that actually provided home medical care services, identified from KDB data analysis, were used in the analysis. Hypothetical patients were randomly distributed on the geographical information system in accordance with the usage rates of home medical care services and with the distributions of the population aged ≥75 years. The usage rate by municipalities was aggregated from the analysis of KDB data of Nara Prefecture in FY2019. Results: The median travel distance was longer than 16 km, the reference limit value specified in the Japanese fee table, and the median travel time exceeded 30 min in certain rural municipalities in the southern part of Nara Prefecture, in the actual scenario, whereas the travel distance and time were improved in the ideal scenario. The differences in travel time between the ideal and actual scenarios were the largest in the depopulated municipalities in the southern part, such as Totsukawa (32.6 vs 5.8 min), Kawakami (30.1 vs 11.8 min), Kurotaki (21.3 vs 5.2 min), and Kamikitayama (20.7 vs 3.5 min). The usage rates were also lower in rural municipalities in the southern part. Conclusions: The results revealed that geographical accessibility was lower in depopulated municipalities in the southern part, and the disparity could be partly solved in the ideal scenario, especially in that area, highlighting the necessity of increasing supply in the southern areas. KDB is a comprehensive database that includes medical claims information for home medical care patients and details of the provision of medical institutions, enabling geographical analysis that reflects actual health care usage.

Indexed as

Geographic Information SystemsHealthcare DisparitiesHealth Services AccessibilityHome Care ServicesAgedAged, 80 and overDatabases, FactualFemaleHumansJapanMalegeographical accessibilitygeographical information systemhome medical caremedical claims databasesimulation

Identifiers

PMID40768758
PMCPMC12327904

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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.