An Empirical Analysis of Spatial Distribution and Facilities Inventory of Long-Term Care 2.0 -- A Case Study of Kaohsiung City
碩士 === 義守大學 === 公共政策與管理學系 === 106 === The Executive Yuan passed the "Long-Term Care Decade Plan 2.0" (after this referred to as Long-term Care 2.0) on September 29, 2016, in Taiwan. Apart from continuing the long-term care services provided in the past ten years, it also promoted the preve...
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ndltd-TW-106ISU056100042019-09-26T03:28:10Z http://ndltd.ncl.edu.tw/handle/vh3a3a An Empirical Analysis of Spatial Distribution and Facilities Inventory of Long-Term Care 2.0 -- A Case Study of Kaohsiung City 長照2.0的空間分布與設施盤點實證分析—高雄市的個案研究 Kuan-Pei Lin 林冠佩 碩士 義守大學 公共政策與管理學系 106 The Executive Yuan passed the "Long-Term Care Decade Plan 2.0" (after this referred to as Long-term Care 2.0) on September 29, 2016, in Taiwan. Apart from continuing the long-term care services provided in the past ten years, it also promoted the prevention of health care to the front-end and reduced, and delaying disability. Connected to the back-end, the care service for prevention and care will expand the resources of the government, enterprises, non-profit organizations, neighborhoods, and families to jointly create a friendly and old-age living environment while reducing the burden of family care. This study focuses on the empirical analysis of the spatial distribution and facility inventory of the service bases provided by the Long Term Care 2.0. To examine the spatial distribution of existing long-term care sites in Kaohsiung through spatial statistics and LISA analysis. The study found that the Long-term 2.0 demand facilities in Kaohsiung City all have spatial autocorrelation distribution. With the addition of potentially available facilities, the autocorrelation phenomenon has improved, but the urban-rural gap has not changed. Apparently, the problem of upgrading the current service level of Long-term 2.0 is not to improve the coverage of the base. Additionally, the Long-term care service quality analysis found that the Long-term care attendants, care managers, lack of human resources, volunteers participate rate was short of information disclosure, it is hard to define the service quality in this study. It suggested that the Long-term care should focus on the inventory of Long-term care attendants, care managers, and volunteers workforce in the future so that the Long-term care can achieve sustainable development. Wen-Yen Wu 吳文彥 2018 學位論文 ; thesis 93 zh-TW |
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碩士 === 義守大學 === 公共政策與管理學系 === 106 === The Executive Yuan passed the "Long-Term Care Decade Plan 2.0" (after this referred to as Long-term Care 2.0) on September 29, 2016, in Taiwan. Apart from continuing the long-term care services provided in the past ten years, it also promoted the prevention of health care to the front-end and reduced, and delaying disability. Connected to the back-end, the care service for prevention and care will expand the resources of the government, enterprises, non-profit organizations, neighborhoods, and families to jointly create a friendly and old-age living environment while reducing the burden of family care.
This study focuses on the empirical analysis of the spatial distribution and facility inventory of the service bases provided by the Long Term Care 2.0. To examine the spatial distribution of existing long-term care sites in Kaohsiung through spatial statistics and LISA analysis. The study found that the Long-term 2.0 demand facilities in Kaohsiung City all have spatial autocorrelation distribution.
With the addition of potentially available facilities, the autocorrelation phenomenon has improved, but the urban-rural gap has not changed. Apparently, the problem of upgrading the current service level of Long-term 2.0 is not to improve the coverage of the base. Additionally, the Long-term care service quality analysis found that the Long-term care attendants, care managers, lack of human resources, volunteers participate rate was short of information disclosure, it is hard to define the service quality in this study.
It suggested that the Long-term care should focus on the inventory of Long-term care attendants, care managers, and volunteers workforce in the future so that the Long-term care can achieve sustainable development.
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author2 |
Wen-Yen Wu |
author_facet |
Wen-Yen Wu Kuan-Pei Lin 林冠佩 |
author |
Kuan-Pei Lin 林冠佩 |
spellingShingle |
Kuan-Pei Lin 林冠佩 An Empirical Analysis of Spatial Distribution and Facilities Inventory of Long-Term Care 2.0 -- A Case Study of Kaohsiung City |
author_sort |
Kuan-Pei Lin |
title |
An Empirical Analysis of Spatial Distribution and Facilities Inventory of Long-Term Care 2.0 -- A Case Study of Kaohsiung City |
title_short |
An Empirical Analysis of Spatial Distribution and Facilities Inventory of Long-Term Care 2.0 -- A Case Study of Kaohsiung City |
title_full |
An Empirical Analysis of Spatial Distribution and Facilities Inventory of Long-Term Care 2.0 -- A Case Study of Kaohsiung City |
title_fullStr |
An Empirical Analysis of Spatial Distribution and Facilities Inventory of Long-Term Care 2.0 -- A Case Study of Kaohsiung City |
title_full_unstemmed |
An Empirical Analysis of Spatial Distribution and Facilities Inventory of Long-Term Care 2.0 -- A Case Study of Kaohsiung City |
title_sort |
empirical analysis of spatial distribution and facilities inventory of long-term care 2.0 -- a case study of kaohsiung city |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/vh3a3a |
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