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研究生: 胡傑明
Chieh-Ming Hu
論文名稱: 影響台灣基層醫療機構營運因素之存活分析
The Factors and Determinants Associated with Length of Clinic in Taiwan
指導教授: 張順教
Shun-Chiao Chang
口試委員: 葉穎蓉
鄭正秉
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 72
中文關鍵詞: 全民健康保險診所歇業存活分析COX比例風險模型
外文關鍵詞: national health insurance, clinic, closure, survival analysis, Cox proportional hazards model
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本研究主要探討影響台灣基層醫療機構存活的關鍵因素,研究對象為台灣22個縣市的基層醫療機構(包含西醫、牙醫與中醫診所),研究期間自1998年至2012年,資料來源為健保資料庫及中華民國統計資訊網。判定診所是否存活的依據為診所與健保局保持合約的狀態,診所在研究期間保持與健保局為簽約狀態,判定為存活,反之則退出市場。本研究利用Cox Proportional Hazard (PH) Model 與 Kaplan-Meier survival curve 進行實證模型的分析。
實證結果顯示,影響診所存活的內部因素有醫療總點數、醫生數、醫技人員數。醫療總點數與解約率有顯著負相關,代表診所賺取的點數越多,越不容易與健保局解約。人力資源方面,醫生數與解約率呈現正相關,聘請越多的醫生將導致規模不經濟的情況發生,但多聘僱醫技人員可以增加診所的存活率。在外部因素方面,人口密度、老化指數與解約率呈現顯著負相關,與歐美文獻的結論相反,因為全民健康保險降低失業人口與老年人口獲取醫療服務的成本,使得設立在高失業率與多老年人口地區的診所能夠有較佳的存活率。而縣市政府對醫療政策相關支出也顯著影響診所的存活,政府提升人民健康水準後將降低人民的醫療服務需求,使得診所的存活率也跟著下降。在同業競爭中,設立在診所多的區域能改善診所存活率,因為住在有著完善醫療服務地區的人民對醫療服務的需求較高,但是醫院及診所之間就有著替代關係存在,將診所設立在醫院附近會降低診所的存活率。


This study mainly investigates the determinants of the closure of clinics, including the Western Medicine, the Dentist and the Chinese Medicine, in Taiwan during the period from 1998 to 2012. To this end we utilize the Cox Proportional Hazard model and Kaplan-Meier survival curve. The empirical results reveal the several key findings as follows. In terms of characteristics of clinics, the total applied points variable has a significantly negative impact on the rate at which the clinics are closed. Receiving larger subsidies from the National Health Insurance Administration (NHIA) can enable clinics to survive longer. As for human resources, hiring more physicians will give rise to diseconomies of scale. However, clinics can hire more medical staff to increase their survival rate. As for characteristics of the environment, population density and the unemployment rate are found to have a significant impact on the closure of clinics. This results are against findings from western countries because NHI reduce cost of medical service for the elderly and unemployed population. Furthermore, government expenditure on health care has a significant negative influence on the closure of clinics. Consequently, it damages the survival of clinics. Finally, clinics surrounded by many other clinics enjoy a lower closure rate than clinics located in areas with fewer clinics. Nevertheless, hospitals are still the main rivals of the clinics.

摘要 i Abstract ii Contents iii Table Contents iv Figure Contents v Chapter 1: Introduction 1 1.1 Motivation and Background 1 1.2 Purpose 8 1.3 Framework and Process 8 Chapter 2: Literature Review 10 2.1 The literature on the medical service industry 10 2.2 The literature on the closure of medical institution 13 Chapter 3: Methodology 18 3.1 Sample description 18 3.2 Variable definition 19 3.2.1 Characteristics of clinic 20 3.2.2 Characteristics of the environment 22 3.2.3 Dummy variables: 27 3.3 Survival analysis 34 3.4 Cox proportional hazard (PH) model 37 3.5 Model Derivation 37 Chapter 4: Empirical Findings and Analysis 40 4.1 Testing for Multicollinearity 40 4.1.1 Variance Inflation Factors (VIF) 40 4.1.2 Pairwise Correlation Coefficients Matrix 42 4.2 Empirical results for primary care institution 45 4.2.1 KM survival curve for clinics of Western Medicine, Dental and Chinese Medicine clinics 45 4.2.2 Cox proportional hazard (PH) model survival curve of Western Medicine, Dentist and Chinese Medicine 48 4.2.3 The empirical results of Cox Proportional Hazards (PH) model for primary care institution 50 Chapter 5: Conclusions and Suggestions 57 References 61

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