The determinants of medical treatment for specific groups fitting the long-term care policy
碩士 === 國立政治大學 === 財政學系 === 107 === Due to population ageing and the number of households declines year by year, Average age raising. The burden on families to care for the elderly is getting heavier, and the amount of nursing care required is increasing. The Executive Yuan approved the “Long-Term Ca...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/4k9523 |
id |
ndltd-TW-107NCCU5303020 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-107NCCU53030202019-11-28T05:23:17Z http://ndltd.ncl.edu.tw/handle/4k9523 The determinants of medical treatment for specific groups fitting the long-term care policy 適用長期照護政策之特定族群就醫門診的決定因素 Huamg, Hsiang-Yu 黃詳祐 碩士 國立政治大學 財政學系 107 Due to population ageing and the number of households declines year by year, Average age raising. The burden on families to care for the elderly is getting heavier, and the amount of nursing care required is increasing. The Executive Yuan approved the “Long-Term Care Decade Plan” in 2007. The main purpose of this paper is to explore the characteristics of the specific groups fitting the long-term care plan in the Executive Yuan. The characteristics of the high outpatients, whether their gender, age, presence or absence of chronic diseases and located of residence may affect the use of medical resources. This paper used data from the Health Care Database from 2008 to 2013 as a research analysis. The outpatient data in Taiwan were based on factors such as gender, age, presence or absence of chronic diseases, place of residence, amount of insurance, type of insurance and type of medical institution, and location of medical institution. Data analysis was performed using Panel Regression, Probit model and Component regression to observe the relationship between the number of outpatient visits and personal characteristics and medical institution characteristics. The study found that gender, age, presence or absence of chronic diseases, the amount of insurance, the type of medical care, the place of residence, the location of the medical institution, and the type of medical institution are the reasons for the difference in the number of medical visits. The use of the medical resources caused by the above factors is different. After the implementation of the long-term care plan, there has been a downward trend in the number of visits by the public. These factors can be included in the future if the government is studying medical policies, social development plans, and promoting social welfare. Wu, Wen-Chieh Lien, Hsien-Ming 吳文傑 連賢明 2019 學位論文 ; thesis 47 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立政治大學 === 財政學系 === 107 === Due to population ageing and the number of households declines year by year, Average age raising. The burden on families to care for the elderly is getting heavier, and the amount of nursing care required is increasing. The Executive Yuan approved the “Long-Term Care Decade Plan” in 2007.
The main purpose of this paper is to explore the characteristics of the specific groups fitting the long-term care plan in the Executive Yuan. The characteristics of the high outpatients, whether their gender, age, presence or absence of chronic diseases and located of residence may affect the use of medical resources.
This paper used data from the Health Care Database from 2008 to 2013 as a research analysis. The outpatient data in Taiwan were based on factors such as gender, age, presence or absence of chronic diseases, place of residence, amount of insurance, type of insurance and type of medical institution, and location of medical institution. Data analysis was performed using Panel Regression, Probit model and Component regression to observe the relationship between the number of outpatient visits and personal characteristics and medical institution characteristics.
The study found that gender, age, presence or absence of chronic diseases, the amount of insurance, the type of medical care, the place of residence, the location of the medical institution, and the type of medical institution are the reasons for the difference in the number of medical visits. The use of the medical resources caused by the above factors is different. After the implementation of the long-term care plan, there has been a downward trend in the number of visits by the public. These factors can be included in the future if the government is studying medical policies, social development plans, and promoting social welfare.
|
author2 |
Wu, Wen-Chieh |
author_facet |
Wu, Wen-Chieh Huamg, Hsiang-Yu 黃詳祐 |
author |
Huamg, Hsiang-Yu 黃詳祐 |
spellingShingle |
Huamg, Hsiang-Yu 黃詳祐 The determinants of medical treatment for specific groups fitting the long-term care policy |
author_sort |
Huamg, Hsiang-Yu |
title |
The determinants of medical treatment for specific groups fitting the long-term care policy |
title_short |
The determinants of medical treatment for specific groups fitting the long-term care policy |
title_full |
The determinants of medical treatment for specific groups fitting the long-term care policy |
title_fullStr |
The determinants of medical treatment for specific groups fitting the long-term care policy |
title_full_unstemmed |
The determinants of medical treatment for specific groups fitting the long-term care policy |
title_sort |
determinants of medical treatment for specific groups fitting the long-term care policy |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/4k9523 |
work_keys_str_mv |
AT huamghsiangyu thedeterminantsofmedicaltreatmentforspecificgroupsfittingthelongtermcarepolicy AT huángxiángyòu thedeterminantsofmedicaltreatmentforspecificgroupsfittingthelongtermcarepolicy AT huamghsiangyu shìyòngzhǎngqīzhàohùzhèngcèzhītèdìngzúqúnjiùyīménzhěndejuédìngyīnsù AT huángxiángyòu shìyòngzhǎngqīzhàohùzhèngcèzhītèdìngzúqúnjiùyīménzhěndejuédìngyīnsù AT huamghsiangyu determinantsofmedicaltreatmentforspecificgroupsfittingthelongtermcarepolicy AT huángxiángyòu determinantsofmedicaltreatmentforspecificgroupsfittingthelongtermcarepolicy |
_version_ |
1719298403151642624 |