6. Conclusion

black lines in the same manner as Figure 7, and among the areas outlined, four areas

Figure 9 shows the difference between the evaluation results with and without the use of the specialization coefficient of the population aging rate. Areas with evaluation points higher in the former results are black, while areas with points higher in the latter are gray. Additionally, areas with particularly large or small differences are outlined with black bold lines. Regarding gray areas with high evaluation points when not using the specialization coefficient of the population aging rate, the evaluation points when using the specialization coefficient of the population aging rate were even higher, highlighting the lack of nursing facilities. With 32 areas marked gray and 25 marked black, it was made evident that the evaluation results when using the specialization coefficient of the population aging

5.3 Comparing the evaluation results with and without the specialization

were the same as those outlined in Figure 7.

Evaluation results when the specialization coefficient was not used.

Evaluation result when using the specialization coefficient.

Geographic Information Systems and Science

coefficient

Figure 8.

Figure 7.

rate were lower overall.

34

The conclusion of the present study can be summarized in the following three points:


the evaluation results are clearly displayed on the digital map using GIS, the shortage or overage of facilities can be visually understood.

References

2016. 3p

901-908

(714):1745-1751

37

[1] Ministry of Health, Labour and Welfare: A Survey on Nursing Facilities and Offices.Tokyo: Ministry of Health,

DOI: http://dx.doi.org/10.5772/intechopen.81364

Evaluation of Nursing Facility Locations Using the Specialization…

Geographic variation in the initiation of commonly used opioids and dosage strength in United States Nursing Homes. Medical Care. 2018;56(10):847-857. DOI: 10.1097/MLR.0000000000000972

[9] Tahara M, Kitagawa K. Takayama: A study on the function of social welfare facilities as evacuation centers. Japanese Journal of Social Welfare. 2018;53(1):

[10] Yun H, KilgoreJeffrey ML, Curtis JR, DelzellLisa E, Gary LC, Saag KG, et al. Identifying types of nursing facility stays using medicare claims data: An algorithm and validation. Health Services & Outcomes Research Methodology. 2010;10(1–2):100-110

[11] Walsh EG, Wiener JM, Haber S, Bragg A, Freiman M, Ouslander JG. Potentially avoidable hospitalizations of dually eligible medicare and medicaid beneficiaries from nursing facility and home- and community-based services waiver programs. Journal of the American Geriatrics Society. 2012;60

[12] Cherubini A, Eusebi P, Dell'Aquila G, Landi F, Gasperini B, Bacuccoli R, et al. Predictors of hospitalization in Italian Nursing Home residents: The U.

L.I.S.S.E. project. Journal of the American Medical Directors

Association. 2012;13(1):84.e5-84.e10

[14] King BJ, Gilmore-Bykovskyi AL, Roiland RA, Polnaszek BE, Bowers BJ, Kind AJH. The consequences of poor

[13] Onder G, Carpenter I, Finne-Soveri H, Gindin J, Frijters D, Henrard JC, et al. Assessment of Nursing Home Residents in Europe: The Services and Health for Elderly in Long TERm care (SHELTER) study. BMC Health Services Research. 2012;12(5). DOI: 10.1186/1472-6963-

16-28

(5):821-829

12-5

[2] Ministry of Health, Labour and Welfare: Situation of the Applicants for Entrance to Nursing Facilities. Tokyo: Ministry of Health, Labour and Welfare,

[3] Yamada A, Satoh E. Difference of management and nursing needs of small

scale caring home for the elderly according to regionality. Journal of

Environmental Engineering. 2008;

[4] Takase A, Yamada A, Nohara Y, Satoh E. Study on efficient placement and operation of home-visiting care in Provincial City. Journal of the City Planning Institute of Japan. 2016;51(3):

[5] Yamamoto T, Yanase R. A study on behavior of inpatients and spatial characteristic in convalescence rehabilitation wards. Journal of Architecture and Planning. 2015;80

[6] Acker K, Pletz AM, Katz A, Hagopian

administrators. Journal of Aging and

[7] Fujita Y, Saio N. Transition and problems of social consciousness about welfare facilities for the aged and children. Journal of Architecture, Planning and Environmental Engineering. 2017;82(733):697-703

[8] Hunnicutt JN, Baek J, Alcusky M, Hume AL, Liu SH, Ulbricht CM, et al.

A. Foreign-born care givers in Washington state nursing homes: Characteristics, associations with quality of care, and views of

Health. 2015;27(4):650-669

Architecture, Planning and

73(633):2355-2363

Labour and Welfare, 2016. 2p

3. In the present study, the specialization coefficient of the population aging rate and the distance between nursing facilities and areas were calculated based on public open data such as the National Census and OpenStreetMap. As evaluations are conducted based on public information, by obtaining population data and geospatial data similar to the present study, evaluations can be conducted using data in other areas as well as for the past and future. Therefore, the evaluation method in the present study has a high temporal reproducibility as well as spatial reproducibility. For example, by using the "future population estimate by region in Japan" of the National Institute of Population and Social Security Research as future data, the shortage or overage of nursing facilities in the future can be evaluated.

As research topics for the future, the improvement of the evaluation method for cases where there are multiple facilities within a certain range as well as the application of the evaluation method of the present study in the evaluation of other facility locations and other areas can be considered.
