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博碩士論文 etd-0505118-150841 詳細資訊
Title page for etd-0505118-150841
論文名稱
Title
健保總額給付收益差對醫療品質影響初探-以某醫學中心為例
The Influence of the Revenue Difference of Health Insurance Global Budget System on Medical Quality - A Case Study of a Medical Center
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
77
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2018-05-25
繳交日期
Date of Submission
2018-06-05
關鍵字
Keywords
總額支付制度、醫療資源、病人安全、醫療品質、健保給付收益差
health insurance revenue difference, global budget system, medical resources, patient safety, medical quality
統計
Statistics
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中文摘要
健保支付制度與醫療市場型態改變限制醫院收入的成長,醫院經營面臨財務責任的不確定性與風險。本研究因此擬探討面對健保總額支付制度,個案醫院在給付不足額的財務壓力衝擊下,有無影響病人的醫療品質。
本研究利用個案醫院2013年1月至2016年12月共48筆月頻率的資料,多面向分析資料如後,醫療資源結構面(主治醫師數、儀器設備淨值)、診療過程面(住院患者MRI使用率、每位醫師平均照護住院病人數、每人次住院平均費用)及虛擬變數(農曆春節)等變項,採用複迴歸模型分析,檢測住院健保給付收益差與不同醫療品質指標的相關性,評估健保給付不足額是否會對醫療品質造成影響。
本研究發現,個案醫院健保給付收益差僅對於藥物異常事件數達顯著影響,對其他醫療品質指標並未達統計顯著意義。然而,主治醫師數與非計劃性14日內再入院率、平均住院天數、平均住院等候天數呈現顯著負相關;並且與開設床數佔床率呈現顯著正相關。平均住院等候天數與儀器設備淨值呈現顯著正相關;但與住院患者MRI使用率呈現顯著負相關。每人每次平均住院費用則與不同醫療品質指標均未達統計顯著相關。每位醫師照護住院病人數與平均住院天數呈顯著負相關。農曆春節期間與住院死亡率達顯著正相關,與住院天數、住院等候天數、開設床數佔床率及藥物異常事件數呈現顯著負相關。
研究結果顯示,除了主治醫師人力及農曆春節期間對醫療品質的影響較大,在目前健保給付收益差(平均數5.37%)之水準下,健保給付不足額未造成本研究所設醫療品質指標的明顯影響。健保總額支付制度受限於總預算有限成長,核減各醫療院所醫療費用應經由仔細設計和管理,避免對病患安全與醫療品質的影響。
Abstract
The revenues of the hospitals are restricted by the global budget system and the evolution of medical care market, the management of the hospitals confronts the uncertainty and risk of financial responsibility. Therefore, this study intended to investigate the impact on medical care quality caused by inadeqaute health insurance payment that was resulted from the implementation of global budget system.
This study used the monthly data of the studied hospital from January 2013 to December 2016. Multiple dimensions of data analysis, including dimension of medical resources (number of attending physicians, net value of instruments and equipment), dimension of medical service (utilization rate of MRI by in-patients, average in-patient number per attending physician, average expense of single hospitalization per patient), dummy variable (Lunar New Year), and other variables, were conducted by using a multiple regression model. The correlation between health insurance revenue difference and medical quality indicators was tested by examining the impact of inadequate health insurance payment on the quality of medical care.
Except un-expected events of medication, no significant influence was caused by the health insurance revenue difference on indicators of medical care quality. However, the number of attending physicians was significantly negatively related to the un-planned re-admission within 14 days after latest discharge from hospital, average hospitalization days, and the average waiting days for hospitalization. In addition, the number of attending physicians was positively correlated with occupancy rate of beds opened. The average waiting days for hospitalization was positively correlated with the net value of instruments and equipment, on the contrary, was negatively correlated with the utilization rate of MRI by in-patients. The average expense of single hospitalization per patient did not demonstrate statistically significant correlation with any medical quality indicators. More patients cared by each attending physician led to less average hospitalization days. Significant elevation of in-hospital mortality occurred during the Lunar New Year holidays than ordinary days. Nonetheless, less hospitalization days, less un-expected events of medication, and shorter waiting days for hospitalization were disclosed during Lunar New Year holidays.
The study revealed that the number of attending physician and Lunar New Year holidays significantly affect the quality of medical care. On the contrary, the inadequate health insurance payment caused by health insurance revenue difference (average of 5.37%) was not obviously correlated with other indicators of medical care quality. Limited addition of medical budget is confined by global budget system. The audit and adjustment of medical payment should be managed with comprehensive consideration and reasonable regulations. The patient safety and quality of medical care are therefore expected to maintain well.
目次 Table of Contents
目 錄
論文審定書 i
摘 要 ii
Abstract iii
目 錄 v
圖 次 vii
表 次 viii
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 10
第二章 文獻探討 11
第一節 全民健保總額預算制度介紹 11
第二節 供給誘發需求(Supply Induce Demand) 12
第三節 醫院行為理論 14
第四節 醫療資源利用與醫療費用之關係 16
第五節 醫療品質的定義及評估指標 18
第六節 醫院財務績效與醫療品質 20
第三章 研究方法 23
第一節 研究架構 23
第二節 研究假說 25
第三節 研究變項定義及資料來源 26
第四節 統計分析方法 33
第四章 研究結果 34
第一節 描述性統計 34
第二節 Pearson相關分析 40
第三節 推論性統計 44
第五章 結論與建議 58
第一節 結論 58
第二節 建議 60
第三節 研究限制及未來研究方向 61
參考文獻 63
中文部分 63
英文部分 65
網路部分 68

圖 次
圖1-1 個案醫院2013年-2016年住院醫療費用健保申報數與健保核付數比較 9
圖3-1 研究架構 24

表 次
表1-1 全民健保歷年財務收支概況(權責基礎) 2
表1-2 全民健保歷年財務資金流量概況 3
表1-3 不同層級醫院歷年門診費用申報情況表 4
表1-4 醫學中心歷年住院費用申報情況表 5
表1-5 區域醫院歷年住院費用申報情況表 6
表1-6 地區醫院歷年住院費用申報情況表 7
表3-1 研究變項定義-1 30
表3-2 研究變項定義-2 31
表4-1-1 自變項及控制變項描述性統計 36
表4-1-2 自變項及控制變項描述性統計(續) 36
表4-2-1 不同型態醫療品質指標描述性統計 39
表4-2-2 不同型態醫療品質指標描述性統計(續) 39
表4-3 醫療品質指標變項之Pearson相關分析 42
表4-4 控制變項納入主治醫師數與否迴歸結果比較表 43
表4-5 醫療品質指標(非計劃性14日內再入院率)迴歸分析 45
表4-6 醫療品質指標(平均住院等候天數)迴歸分析 47
表4-7 醫療品質指標(開設床數佔床率)迴歸分析 49
表4-8 醫療品質指標(平均住院天數)迴歸分析 51
表4-9 醫療品質指標(住院死亡率)迴歸分析 53
表4-10 醫療品質指標(藥物異常事件數)迴歸分析 55
表4-11 研究結果彙整表 57
參考文獻 References
參考文獻
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網路部分
1. 台灣醫務管理學會,THIS 專區,檢自http://www.tche.org.tw/UI/N/N10001.aspx?type=N。
2. 財團法人醫院評鑑暨醫療品質策進會,檢自http://www.tjcha.org.tw。
3. 衞生福利部中央健康保險署,資訊公開,檢自 https://www.nhi.gov.tw/。
4. 衞生福利部台灣病人安全資訊網,檢自http://www.patientsafety.mohw.gov.tw。
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