| 研究生: |
林佳諭 Lin, Jia-Yu |
|---|---|
| 論文名稱: |
運用多準則決策分析法進行以實證為基礎的價值評估:以轉移性結腸直腸癌之既有標靶藥品為例 Evidence-Based Value Assessment on Targeted Therapies for Metastatic Colorectal Cancer Treatment: Application of Multi-Criteria Decision Analysis |
| 指導教授: |
徐之昇
Hsu, Jason C. |
| 共同指導教授: |
林鵬展
Lin, Peng-Chan |
| 學位類別: |
碩士 Master |
| 系所名稱: |
醫學院 - 臨床藥學與藥物科技研究所 Institute of Clinical Pharmacy and Pharmaceutical sciences |
| 論文出版年: | 2017 |
| 畢業學年度: | 105 |
| 語文別: | 中文 |
| 論文頁數: | 233 |
| 中文關鍵詞: | 價值評估 、多準則決策分析法 、層級分析法 、轉移性結腸直腸癌 、標靶藥物 |
| 外文關鍵詞: | Metastatic colorectal cancer, Targeted therapy, Value assessment, Multi-criteria decision analysis, Analytic hierarchy process |
| 相關次數: | 點閱:153 下載:5 |
| 分享至: |
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研究背景
藥物價值評估為一多層面的考量,針對不同類型的決策者更動其功能及應用,針對藥物納入保險給付決策,考量層面涵蓋臨床、經濟及社會。為擴大公民參與,從藥物專家決策模式改由多元組成成員的全民健康保險藥物給付項目及支付標準共同擬訂會議,針對臨床需求、藥物之預算衝擊等考量評估後,決定是否納入健保給付。然而該多元組成的利益團體代表對於健保收載藥物與否之著眼點可能有所差異,並且尚無一系統性決定的收載原則,故如何將多元面向準則的衡量應用於藥物價值評估及決定給付與否,有必要進行深入分析及探討。另外,結腸直腸癌之發生人數為目前國人十大癌症中最多的癌症,其發生率和死亡率近年來維持著穩定且居高不下的趨勢。轉移性結腸直腸癌除了透過手術及使用化學治療藥物,可考慮搭配標靶藥物進行治療。本研究目的依序有三項:(1) 初步建構一套多元面向藥物價值的評估準則與模型;(2) 分析不同類型的健保給付決策者及臨床專家對於衡量面向及準則之間的差異;(3) 運用上述模型進行轉移性結腸直腸癌既有標靶藥物之完整價值評估。
研究方法
本研究利用多準則決策分析法 (Multi-criteria decision analysis,MCDA) 評估Bevacizumab,Cetuximab,Panitumumab,Aflibercept與Regorafenib等五個治療轉移性結腸直腸癌的標靶藥物。參考 MCDA 的執行步驟逐步進行:
(1) 建立決策內容、(2) 建構相關評估準則、(3) 決定各評估準則的權重、(4) 統整藥物於各準則的表現資訊、(5) 標靶藥物於各準則的評分、(6) 計算各標靶藥物的整體分數、(7) 處理不確定性並進行敏感性分析,以及(8) 詮釋相關數據並公佈結果。經專家效度評估後,MCDA 模型中包括三個面向與九個準則:(1)臨床面向中包含「相對療效」、「相對安全性」及「方便性與生活品質」準則;(2)經濟面向中包含「成本效益」、「病患人數」和「藥品費用」準則;(3)社會面向有「創新程度」、「社會關注及病人需求」和「其他國家納入保險給付與否」準則。本研究透過訪談式問卷調查,分別蒐集標靶藥物於各面向準則的表現資訊與面向及準則之權重。面向與準則的權重資訊部分,其訪談對象與人數組成係參考專家會議和共同擬訂會議成員類型,共 30 位受訪者;標靶藥物的表現資訊部分與結腸直腸癌外科醫師、血液腫瘤科醫師及癌症臨床藥師等共 10 位臨床專家進行訪談。最後計算各標靶藥物於不同面向與準則的整體分數,以及進行敏感性分析,以評估研究結果的穩固性 (Robustness)。
研究結果
經過資料蒐集和分析後,本研究重要結果如下:(1) 整體而言,以臨床面向權重最高;(2) 依不同受訪者屬性區分後,健保署代表較重視臨床與經濟面向;(3) 整體來看,臨床面向中,「相對療效」準則的權重最高;經濟面向中,「成本效益」準則最受重視;社會面向中,側重「社會關注及病人需求」準則;(4) 打破面向框架進行準則之間的比較後,整體以「相對療效」準則權重最高,且依不同受訪者屬性分析後,部分準則之權重略有不同;(5) 針對既有轉移性結腸直腸癌標靶藥物進行各準則之價值評估,整體價值由高至低依序為:Cetuximab (總分分數67.332),Bevacizumab (66.086),Panitumumab (64.06),Aflibercept (57.846),Regorafenib (56.732);倘若以病友團體代表及藥廠的權重分數傾向來分析,不影響整體之藥物評估結果。(6)針對調整社會面向權重之敏感性分析,Bevacizumab及Regorafenib易受影響,但不影響整體之藥物評估結果。
結論
本研究建議健保署應建立「多元面向準則」、「多觀點」且「整合性評估」的評估機制全面地分析藥物價值。多元面向準則的建立會增加評估的完整性,以利於提供完整的藥物價值評估結果;權重的整合評估透過考量決策者的偏好程度,以獲得貼近實際評估情形的資訊進行分析;納入多觀點的建議能夠輔助決策者檢視其他需求及考量。
Health technology assessment (HTA) is a comprehensive assessment of the clinical, economic, and social issues. Many countries established organizations of HTA to evaluate drug information by evidence-based approach. Multi-criteria decision analysis (MCDA), a structured approach that supports decision-makers to assess and compare multiple options among multiple dimensions and criteria, which can be applied in evaluation of insurance coverage and reimbursement. This study aims to establish a decision-making model with multiple criteria for appraisal and reimbursement, to compare viewpoints toward various dimensions and criteria from different stakeholders, and to evaluate the five targeted therapies for metastatic colorectal cancer. Criteria selection, weights and other information about the criteria and performances of targeted therapies were obtained by medical expert interview and questionnaire analysis. We interviewed 30 stakeholders for weighting of criteria and interviewed 10 clinical experts for scoring of options. This study found that most of the stakeholders take “clinical value” (especially “comparative effectiveness”) as the most important dimension (criteria). Overall, cetuximab has the highest value, followed by bevacizumab and panitumumab. This study is a pilot study, which use MCDA to conduct a comprehensive value assessment. The variations of weightings for dimensions and criteria from different stakeholders are reported. Both overall and specific performance of targeted therapies by dimensions, criteria and stakeholders are also evaluated. The findings of this study will be a base for developing further useful decision models to evaluate the comprehensive value of medicine in the future.
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