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

KUSUNOKI, Takuya; Yoshikawa, Tohru; Sanuki, Ryo

doi:10.3130/aija.88.212

Cited by 3 publications

(7 citation statements)

References 10 publications

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“…Moreover, "Universities with a faculty of medicine" tend to increase "Acute care abundance" and "Clinic care abundance (without beds)." A study by Kusunoki et al [25] reported that the number of universities with a faculty of medicine increases the adequacy of acute care medical resources. Although their study used data on the distribution of medical resources in 2015, our results support the validity of the model used.…”

Section: Discussionmentioning

confidence: 99%

“…"Universities with a faculty of medicine" in the urbanicity group tended to increase "Clinic care abundance (without beds)." This trend may be attributed to the tendency for universities with a faculty of medicine to be located in urban areas, as indicated by the study by Kusunoki et al [25].…”

Section: Analysis Based On Urbanicitymentioning

confidence: 95%

“…The ndings revealed that medical care adequacy was de cient in urban and remote areas. The second study, conducted by Kusunoki et al [25], analyzed the interrelation between regional characteristics and medical and care resources using factor analysis and structural equation modeling (SEM) for SMAs nationwide in 2015. The results indicated that suburban areas with a higher concentration of older individuals tended to have better medical care adequacy, whereas urban areas tended to have higher acute care adequacy via universities with medical schools.…”

Section: Previous Researchmentioning

confidence: 99%

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

Kusunoki

Yoshikawa

2023

Preprint

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Background Given Japan’s rapidly aging population, a coordinated system for providing medical and care services tailored to regional characteristics needs to be established. To gain useful knowledge for the development of such a system, the present study aimed to identify the structure of the distribution of medical and care resources based on regional characteristics. Methods Initially, regional characteristics were used to group all 334 secondary medical areas in Japan by principal component analysis. Subsequently, the related structure of the distribution of medical and care resources was modeled using structural equation modeling. Finally, multigroup analysis was conducted to investigate differences in the models across groups. Results The nationwide secondary medical areas were categorized based on urbanicity and low-density urbanicity, which revealed differences in the related structure of the distribution of medical and care resources. Conclusions The key finding was that the government’s objective of reducing hospital beds to enhance medical delivery efficiency may not be achieved solely by expanding nursing homes. This finding was particularly relevant in low-density urbanicity groups. Given concerns about the oversupply of nursing homes and sprawl in such areas, we conclude that trends in the location of nursing homes should be closely monitored.

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Section: Discussionmentioning

confidence: 99%

Section: Analysis Based On Urbanicitymentioning

confidence: 95%

Section: Previous Researchmentioning

confidence: 99%

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

Kusunoki

Yoshikawa

2023

Preprint

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“…In total, there were 15 variables of the distribution of medical and care resources used in the second phase. These variables can be aggregated by SMA, with reference to the study by Kusunoki et al [ 23 ], and are presented in Table 5 [ 34 – 36 ]. The summary statistics are presented in Table 6 .…”

Section: Methodsmentioning

confidence: 99%

“…The findings revealed that medical care adequacy was deficient in urban and remote areas. The second study, conducted by Kusunoki et al [ 23 ], analyzed the interrelation between regional characteristics and medical and care resources using factor analysis and structural equation modeling (SEM) for SMAs nationwide in 2015. The results indicated that suburban areas with a higher concentration of older individuals tended to have better medical care adequacy, whereas urban areas tended to have higher acute care adequacy via universities with medical schools.…”

Section: Introductionmentioning

confidence: 99%

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

Kusunoki,

Yoshikawa

2024

BMC Health Serv Res

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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.

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Trends and distribution of external radiation therapy facilities in Japan based on Survey of Medical Institutions from the Ministry of Health, Labour and Welfare

Aoyama,

Koide,

Shimizu

et al. 2024

Journal of Radiation Research

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This study aimed to explore the distribution of external radiation therapy (RT) facilities, the status of related device installations and the adoption of high-precision RT using Survey of Medical Institutions from the Ministry of Health, Labour and Welfare in Japan. Analysis, categorized by the hospital size and prefecture, provides specific insights into the trends in treatment facility healthcare capabilities. Data on the number of RT facilities, high-precision RT facilities, RT devices and treatment planning systems (TPS) categorized by the number of beds and prefecture from 1996 to 2020 were analyzed. In addition, the study examined the correlation between the high-precision implementation rate and the number of TPSs or radiation oncologists and other medical staff. High-precision RT exceeded 95% in large facilities (800+ beds) but remained <50% in medium-sized facilities (300–499 beds). In a prefecture-by-prefecture analysis, calculation of the maximum–minimum ratio of RT facilities per million population and per 30 km2 revealed a disparity of 3.7 and 73.1 times in the population ratio and the density ratio, respectively. Although a correlation was found between the number of TPSs per RT device or the number of medical physicists per million population and the rate of high-precision RT implementation, no correlation was found among other professions. Detailed analysis based on the hospital size and prefecture provided more specific information on the medical functions of RT facilities in Japan. These findings can potentially contribute to the future development of RT, including the standardization of treatment techniques and optimal resource allocation.

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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

Cited by 3 publications

References 10 publications

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

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

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

Trends and distribution of external radiation therapy facilities in Japan based on Survey of Medical Institutions from the Ministry of Health, Labour and Welfare

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