Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan
The increasing demand for long-term care (LTC) among the ageing population is a serious problem worldwide, which has greatly increased also in Japan since the introduction of the LTC insurance system there. Since there is a difference between insurers with respect to the proportion of people needin...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2022-05-01
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| Series: | Geospatial Health |
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| Online Access: | https://geospatialhealth.net/index.php/gh/article/view/1077 |
| _version_ | 1828213731167830016 |
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| author | Kazuki Ohashi Kensuke Fujiwara Takumi Tanikawa Kyohei Bando Tomohiro Aoki Katsuhiko Ogasawara |
| author_facet | Kazuki Ohashi Kensuke Fujiwara Takumi Tanikawa Kyohei Bando Tomohiro Aoki Katsuhiko Ogasawara |
| author_sort | Kazuki Ohashi |
| collection | DOAJ |
| description |
The increasing demand for long-term care (LTC) among the ageing population is a serious problem worldwide, which has greatly increased also in Japan since the introduction of the LTC insurance system there. Since there is a difference between insurers with respect to the proportion of people needing LTC, this study aimed at clarifying the spatial patterns of LTC. Insurer (n=156) LTC data for the period 2012-2019 were obtained from Ministry of Health, Labour, and Welfare and those needing LTC were classified into three classes: total, mild and severe with ageand sex-adjusted proportions needing LTC. Global and local Moran’s I statistics were calculated for each 2-year period to clarify the trends of global and local spatial clusters. From 2012 to 2019, the mean proportion of mild class cases increased (10.6% to 11.6%), whereas that of severe class cases decreased slightly (5.9% to 5.7%). The spatial pattern of the proportion of each class revealed positive spatial autocorrelation. Based on analysis by local Moran’s I, differences in spatial patterns were emphasised between the mild and severe classes. In Hokkaido, High-High clusters of mild cases were identified in the central and southern parts and severe ones in the northern and southern parts. Spatial patterns differed depending on the LTC class. Some insurers had distinctly higher or lower certification rates than those of their neighbourhoods.
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| first_indexed | 2024-04-12T14:54:42Z |
| format | Article |
| id | doaj.art-b87312fda3da410b9374f7b1710011ab |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-04-12T14:54:42Z |
| publishDate | 2022-05-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-b87312fda3da410b9374f7b1710011ab2022-12-22T03:28:18ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962022-05-0117110.4081/gh.2022.1077Differences in spatial patterns of long-term care depending on severity in Hokkaido, JapanKazuki Ohashi0Kensuke Fujiwara1Takumi Tanikawa2Kyohei Bando3Tomohiro Aoki4Katsuhiko Ogasawara5Faculty of Health Sciences, Hokkaido University of Science, Sapporo, HokkaidoGraduate School of Commerce, Otaru University of Commerce, Otaru, HokkaidoFaculty of Health Sciences, Hokkaido University of Science, Sapporo, HokkaidoGraduate School of Health Sciences, Hokkaido University, Sapporo, HokkaidoFaculty of Health Sciences, Hokkaido University of Science, Sapporo, HokkaidoFaculty of Health Sciences, Hokkaido University of Science, Sapporo, Hokkaido The increasing demand for long-term care (LTC) among the ageing population is a serious problem worldwide, which has greatly increased also in Japan since the introduction of the LTC insurance system there. Since there is a difference between insurers with respect to the proportion of people needing LTC, this study aimed at clarifying the spatial patterns of LTC. Insurer (n=156) LTC data for the period 2012-2019 were obtained from Ministry of Health, Labour, and Welfare and those needing LTC were classified into three classes: total, mild and severe with ageand sex-adjusted proportions needing LTC. Global and local Moran’s I statistics were calculated for each 2-year period to clarify the trends of global and local spatial clusters. From 2012 to 2019, the mean proportion of mild class cases increased (10.6% to 11.6%), whereas that of severe class cases decreased slightly (5.9% to 5.7%). The spatial pattern of the proportion of each class revealed positive spatial autocorrelation. Based on analysis by local Moran’s I, differences in spatial patterns were emphasised between the mild and severe classes. In Hokkaido, High-High clusters of mild cases were identified in the central and southern parts and severe ones in the northern and southern parts. Spatial patterns differed depending on the LTC class. Some insurers had distinctly higher or lower certification rates than those of their neighbourhoods. https://geospatialhealth.net/index.php/gh/article/view/1077Ageing societygeographic information systemlong-term care insurancelong-term care servicespatial autocorrelationJapan. |
| spellingShingle | Kazuki Ohashi Kensuke Fujiwara Takumi Tanikawa Kyohei Bando Tomohiro Aoki Katsuhiko Ogasawara Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan Geospatial Health Ageing society geographic information system long-term care insurance long-term care service spatial autocorrelation Japan. |
| title | Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan |
| title_full | Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan |
| title_fullStr | Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan |
| title_full_unstemmed | Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan |
| title_short | Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan |
| title_sort | differences in spatial patterns of long term care depending on severity in hokkaido japan |
| topic | Ageing society geographic information system long-term care insurance long-term care service spatial autocorrelation Japan. |
| url | https://geospatialhealth.net/index.php/gh/article/view/1077 |
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