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Assessing the allocation of special elderly nursing homes in Tokyo, Japan
https://doi.org/10.24517/00049599
https://doi.org/10.24517/000495990c31de82-8162-4221-95f5-c4f1f349dc8b
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-NISHINO-T-1102.pdf (16.7 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||
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| 公開日 | 2017-12-25 | |||||||||
| タイトル | ||||||||||
| タイトル | Assessing the allocation of special elderly nursing homes in Tokyo, Japan | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| ID登録 | ||||||||||
| ID登録 | 10.24517/00049599 | |||||||||
| ID登録タイプ | JaLC | |||||||||
| 著者 |
You, Ninglong
× You, Ninglong× Shen, Zhenjiang× Nishino, Tatsuya |
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| 著者別表示 |
沈, 振江
× 沈, 振江
× 西野, 達也
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| 提供者所属 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | 金沢大学理工研究域環境デザイン学系 | |||||||||
| 書誌情報 |
International Journal of Environmental Research and Public Health 巻 14, 号 10, p. 1102, 発行日 2017-10-01 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1661-7827 | |||||||||
| DOI | ||||||||||
| 関連タイプ | isIdenticalTo | |||||||||
| 識別子タイプ | DOI | |||||||||
| 関連識別子 | 10.3390/ijerph14101102 | |||||||||
| 出版者 | ||||||||||
| 出版者 | MDPI AG | |||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | Social welfare and public health departments require reliable assessments to enhance the rationality of phased construction of special elderly nursing homes (SENHs). This paper aims to assess the allocation of SENHs based on a beds-needed index for SENHs (BNIS). This may help departments determine the priority for approving locations of SENHs more accurately with a limited budget. Traditional assessments in Tokyo use the sphere of welfare, ward, and sphere of daily life as spatial units for estimating beds-to-elderly population ratios. We calculate the BNIS by introducing a parameter-improved floating catchment area method (PI-FCA) at a smaller spatial unit, the Chome. In the PI-FCA, the catchment area is generated according to the standard of average population served by SENHs and capacity, the population demand is the population of the elderly requiring care levels 3-5 and is further modified by a coefficient of potential demand via building a multivariate linear model. Improved results were obtained using the PI-FCA. Finally, this study maps the distribution of the degree of BNIS, to provide a basis for the allocation assessment of SENHs. This caters to the needs of departments and is easily applicable in other public healthcare facilities. © 2017 by the authors. Licensee MDPI, Basel, Switzerland. | |||||||||
| 権利 | ||||||||||
| 権利情報 | Copyright © 2017 by the authors. Licensee MDPI, Basel, Switzerland. | |||||||||
| 著者版フラグ | ||||||||||
| 出版タイプ | VoR | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
