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Published in: BMC Health Services Research 1/2024

Open Access 01-12-2024 | Research

The distribution structure of medical and care resources based on regional characteristics throughout Japan in 2020

Authors: Takuya Kusunoki, Tohru Yoshikawa

Published in: BMC Health Services Research | Issue 1/2024

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Abstract

Background

Given Japan’s rapidly aging population, the Ministry of Health, Labour and Welfare's policy of reducing hospital beds and replacing medical care with nursing care requires the establishment of a coordinated system of medical and care services tailored to regional characteristics. To gain useful knowledge for the development of such a system, this study aimed to identify differences in the structure of the relationship between medical and care resources due to differences in regional characteristics.

Methods

Initially, regional characteristics were used to group all 334 secondary medical areas (SMA) in Japan by principal component analysis. Subsequently, the related structure of the distribution of medical and care resources for each group were compared. For these comparisons, first, the related structure of the distribution of medical and care resources nationwide was modeled using structural equation modeling. Secondly, multigroup analysis was conducted to investigate differences among the models across groups.

Results

The nationwide SMAs were grouped largely based on urbanicity and middle-density regionality. The groups with high urbanicity and high middle-density regionality consisted of SMAs with a high and medium population density. By contrast, the low middle-density regionality group consisted of SMAs containing large cities with a high population density and depopulated areas with a low population density. The model of the related structure of the distribution of medical and care resources differed among these groups. In the non-urbanicity and middle-density regionality groups, nursing care abundance tended to increase acute care abundance. In addition, in all groups, nursing care abundance tended to increase long-term hospitalization care abundance and clinic care abundance (with beds).

Conclusions

The key finding of this study was that the government’s objective of reducing hospital beds may not be achieved solely by expanding nursing homes. This is because many of the models did not show a tendency that higher nursing care abundance reduces the values of the factors which increase more hospital beds. This finding was particularly relevant in middle-density regionality groups. This finding suggests that the location of nursing homes should be monitored because of concerns about the oversupply of nursing homes and sprawl in those areas.
Literature
2.
go back to reference Muto M. Japanese hospital beds and regional medical delivery concept. J Int Univ Health Welf. 2019;24(2):1–7. Muto M. Japanese hospital beds and regional medical delivery concept. J Int Univ Health Welf. 2019;24(2):1–7.
15.
go back to reference Hara K, Otsubo T, Kunisawa S, Imanaka Y. Examining sufficiency and equity in the geographic distribution of physicians in Japan: a longitudinal study. BMJ Open. 2017;7:e013922.CrossRefPubMedPubMedCentral Hara K, Otsubo T, Kunisawa S, Imanaka Y. Examining sufficiency and equity in the geographic distribution of physicians in Japan: a longitudinal study. BMJ Open. 2017;7:e013922.CrossRefPubMedPubMedCentral
23.
go back to reference Kusunoki T, Yoshikawa T, Sanuki R. Analysis of the distribution structure of the number of hospital beds and the capacity of long-term care insurance facilities from the viewpoint of regional characteristics: using structural equation modeling for secondary medical areas throughout Japan in 2015. J Archit Plann AIJ. 2023. https://doi.org/10.3130/aija.88.212.CrossRef Kusunoki T, Yoshikawa T, Sanuki R. Analysis of the distribution structure of the number of hospital beds and the capacity of long-term care insurance facilities from the viewpoint of regional characteristics: using structural equation modeling for secondary medical areas throughout Japan in 2015. J Archit Plann AIJ. 2023. https://​doi.​org/​10.​3130/​aija.​88.​212.CrossRef
32.
go back to reference Revelle W. Psych: procedures for personality and psychological research. Evanston, Illinois, USA: Northwestern University; 2022. Revelle W. Psych: procedures for personality and psychological research. Evanston, Illinois, USA: Northwestern University; 2022.
38.
go back to reference Schermelleh-Engel K, Moosbrugger H, Müller H. Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods Psychol Res Online. 2003;82:23–74. Schermelleh-Engel K, Moosbrugger H, Müller H. Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods Psychol Res Online. 2003;82:23–74.
40.
go back to reference Innami I. A study of social hospitalization. 1st ed. Tokyo: TOYO KEIZAI INC; 2009. Innami I. A study of social hospitalization. 1st ed. Tokyo: TOYO KEIZAI INC; 2009.
41.
go back to reference Suzuki W, Yasushi I, Yuda M, Morozumi R. The distribution patterns of medical care and long-term care expenditures: estimations based on administrative data in Fukui prefecture. Japanese J Health Econ Policy. 2012;24(2):86–107. Suzuki W, Yasushi I, Yuda M, Morozumi R. The distribution patterns of medical care and long-term care expenditures: estimations based on administrative data in Fukui prefecture. Japanese J Health Econ Policy. 2012;24(2):86–107.
42.
go back to reference Oguro K, Hirakata K, Policy Research Institute, Ministry of Finance, Japan. A consideration of the location of nursing homes and the use of GIS geographic information system under the declining population and super-aging population: Niigata city as a case study. Financ Rev. 2017;3:49–70. Oguro K, Hirakata K, Policy Research Institute, Ministry of Finance, Japan. A consideration of the location of nursing homes and the use of GIS geographic information system under the declining population and super-aging population: Niigata city as a case study. Financ Rev. 2017;3:49–70.
44.
Metadata
Title
The distribution structure of medical and care resources based on regional characteristics throughout Japan in 2020
Authors
Takuya Kusunoki
Tohru Yoshikawa
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2024
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-024-10699-5

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