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  • 學位論文

疾病嚴重度對台灣特定性腦血管疾患住院診斷關聯群之解釋力分析

The Effect of Illness Severity on the Explanation of the Taiwan Diagnosis Related Group-Specific Cerebrovascular Disorders DRG 014

指導教授 : 黃偉堯

摘要


研究背景:中央健康保險局於2010年1月1日起在總額支付制度下,將155類住院病例導入全民健康保險住院診斷關聯群(Tw-DRGs);而Tw-DRGs的基礎為美國醫療照護與醫療救助服務中心(The Center for Medicare and Medicaid Services, CMS)第十八版住院診斷關聯群。CMS-DRGs V18.0為美國老人與身心障礙者健康保險(Medicare)住院病患前瞻性付費制度(Prospective Payment System, PPS)之支付基準。由於疾病嚴重度影響醫療資源耗用,因此本研究探討疾病嚴重度對Tw-DRGs分類架構的影響。 研究目的:探討疾病嚴重度對台灣特定性腦血管疾患住院診斷關聯群(DRG 014)的影響。本研究假說有二: 假說一:特定性腦血管疾患住院診斷關聯群(DRG 014)疾病嚴重度越嚴重,其醫療資源耗用越高。 假說二:以MS-DRGs之疾病嚴重度分類方式,將特定性腦血管疾患住院診斷關聯群(DRG 014)合併症及併發症分為三層(MCC、with CC、without CC)後的醫療資源耗用解釋力,高於台灣特定性腦血管疾患住院診斷關聯群(DRG 014)之醫療資源耗用解釋力。 研究設計:本研究為橫斷性研究設計(cross-sectional studies)與模擬分析。以複迴歸分析疾病嚴重度對醫療費用與住院天數的影響,以住院日數及住院醫療費用為依變項,疾病嚴重度為自變項,疾病診斷、性別與年齡為控制變項,分析疾病嚴重度對特定性腦血管疾患住院診斷關聯群(DRG 014)醫療資源耗用影響。並以「決定係數(Coefficient of determination, R2)」分析特定性腦血管疾患住院診斷關聯群(DRG 014)之解釋力。 研究對象:特定性腦血管疾患之病患。 資料來源:採次級資料分析法,取自國家衛生研究院2007年全民健康保險學術研究資料庫,系統抽樣檔「住院醫療費用清單明細檔(光碟編號:SN9602)」與「醫事機構基本資料檔(光碟編號:AN9601)」。以中央健康保險局「住院病例組合單機版編審程式V7.3.4版」取得之2007年特定性腦血管疾患住院診斷關聯群(DRG 014)之病患為研究對象。 結果測量:醫療費用與住院天數;解釋力(R2)。 主要結果: 1.特定性腦血管疾患住院診斷關聯群(DRG 014)疾病嚴重度越嚴重,其醫療資源耗用越高。 2.以MS-DRGs之疾病嚴重度分類方式,將特定性腦血管疾患住院診斷關聯群(DRG 014)合併症及併發症分為三層後的醫療資源耗用解釋力,高於台灣特定性腦血管疾患住院診斷關聯群(DRG 014)之醫療資源耗用解釋力。MS-DRGs醫療費用解釋力為17.02%高於Tw-DRGs解釋力的10.52%,住院天數解釋力為7.71%高於Tw-DRGs解釋力的5.10%,醫療費用與住院天數解釋力分別提昇60.77%與50.19%。 結論:「疾病嚴重度」為影響特定性腦血管疾患住院診斷關聯群(DRG 014)醫療資源耗用之重要影響因素。在Tw-DRGs V3.0分類架構下,疾病嚴重度分類方式若改採MS-DRGs之疾病嚴重度,可提高特定性腦血管疾患住院診斷關聯群(DRG 014)分類架構的解釋力。

並列摘要


Background: Taiwan Diagnostic Related Groups (Tw-DRGs) was implemented under the global budget payment system by Bureau of National Health Insurance, since January 1, 2010. The Tw-DRGs system is based on Diagnosis Related Groups in the Eighteenth Edition (CMS-DRGs V18.0) of Center for Medicare and Medicaid Services (CMS). Prospective Payment System (PPS) bases on the CMS-DRGs V18.0 and was adopted by the Medicare, the insurance for the elderly and disabled. And the illness severity affects the medical resource utilization. Therefore, the purpose of the study is to explore effect of the illness severity on the explanation of Tw-DRGs classification framework. Objective: This study aims to examine the illness severity effect on the specific diagnosis of cerebralvascular disorders (DRG 014). Hypothesis 1: The higher illness severity of DRG 014, the higher medical resource utilization. Hypothesis 2: DRG 014 is classified by illness severity of MS-DRGs and complication/comorbidity of the three layers are divided into MCC, with CC, without CC to explain explanatory power is higher than that of Tw-DRGs. Design: Cross-sectional study and simulation analysis. Multiple regression analysis is employed to explore the illness severity on medical expenditure and lengths of stay (LOS). Dependent variables are medical expenditure and lengths of stay (LOS), independent variable is the illness severity and control variables are diagnostic groups, gender and the age to analyze the effect of the illness severity on the medical resource utilization of DRG 014. Explanatory power of DRG 014 was determined by calculating the coefficient of determination (R2). Subjects: Patients with diagnosed specific cerebralvascular disorders (DRG 014). Data: Secondary data analysis is employed and data is collected form the National Health Insurance Research Database in 2007. The Original claim data are from Inpatient expenditures by admissions (NO. SN9602) and Registry for contracted medical facilities (NO. AN9601). The subjects are gathered from the specific cerebralvascular disorders (DRG 014) from Hospital Case Mix program V7.3.4 stand-alone version of the pipeline in 2007 in Bureau of National Health Insurance. Main outcome measures: Medical expenditure and length of stay; Coefficient of determination (R2) Results: 1.The higher illness severity of DRG 014, the higher medical resource utilization. 2.The explanatory power of medical resource utilization in DRG 014 which is classified by illness severity of MS-DRGs and complication/co-morbidity divided into MCC, with CC, without CC, is higher than those in the Tw-DRGs. The explanatory power of medical expenditure in MS-DRGs is 17.02% higher than that in Tw-DRGs is about 10.52%. The explanatory power of MS-DRGs in length of stay is 7.71% higher than those in Tw-DRGs is about 60.77%. The explanatory Power of medical expenditure and LOS increase 60.77% and 50.19%. Conclusion: The “illness of severity " is an important factor to influence on medical resource utilization in the DRG 014. Under the classification structure of Tw-DRGs V3.0, the explanatory power will elevate if the classification would employ the illness severity of MS-DRGs.

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被引用紀錄


余庭閣(2011)。模擬Tw-DRGs實施後對醫院財務衝擊〔碩士論文,長榮大學〕。華藝線上圖書館。https://doi.org/10.6833/CJCU.2011.00100
汪辰陽(2016)。臺灣住院診斷關聯群(Tw-DRGs)對多重慢性病患資源耗用及照護結果的影響〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201610395
吳鳳玉(2007)。基隆市某國中七年級學生健康與體育學習領域「自我導向學習策略」之效果研究〔碩士論文,國立臺灣師範大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0021-0204200815530055

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