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  1. NTU Theses and Dissertations Repository
  2. 進修推廣部
  3. 生物科技管理碩士在職學位學程
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93584
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dc.contributor.advisor胡凱焜zh_TW
dc.contributor.advisorKae-Kuen Huen
dc.contributor.author陳懿婷zh_TW
dc.contributor.authorYi-Ting Chenen
dc.date.accessioned2024-08-05T16:43:20Z-
dc.date.available2024-08-06-
dc.date.copyright2024-08-05-
dc.date.issued2024-
dc.date.submitted2024-07-15-
dc.identifier.citation中文文獻:
王祉涵. (2023). 從遠距診療設計觀點探討醫療場域之數位轉型:應用混合方法分析決策之關鍵因素. http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88791
天下雜誌. (2022). 自費癌症藥物與健保總額. https://www.cw.com.tw/article/5122675
吳文源. (2017). 因應健保制度關於標靶藥物行銷策略關鍵影響因素之探討:以台灣某藥廠(大腸直腸癌)為例. https://hdl.handle.net/11296/9qjkcq
李揚成. (2014). 影響消費者選用標靶藥物治療癌病購買意願之研究. https://hdl.handle.net/11296/72hv35
陳冠廷. (2017). 淺談台灣DRG與日本DPC之差異. 公益財團法人日本台灣交流協會
陳昭姿. (2014). 歷年健保新藥管理趨勢回顧. 醫療爭議審議報導
黃佳敏. (2008). 癌症醫療費用之解析. https://hdl.handle.net/11296/623s32
葉榆蜂. (2015). 應用多準則決策分析於跨醫療院區資訊系統整合策略之研究. https://doi.org/10.6846/TKU.2015.00071
鄧振源, 曾國雄. (1989). 層級分析法(AHP) 的內涵特性與應用.
衛生福利部國民健康署. (2023). 中華民國110年癌症登記報告112年12月出
衛生福利部國民健康署. (2024). 第一期國家肺癌防治計畫2022-2025年. https://www.hpa.gov.tw/File/Attach/17905/File_23884.pdf
衛生福利部促進全民健康與福祉. (2023). 111年國人死因統計結果. https://www.mohw.gov.tw/cp-16-74869-1.html
衛生福利部促進全民健康與福祉. (2023). 111年國人死因統計結果. https://www.mohw.gov.tw/cp-16-74869-1.html
衛生福利部中央健康保險署. (2023). 112年各類癌症健保前10大醫療支出統計. https://www.nhi.gov.tw/ch/cp-6018-9886a-3042-1.html
衛生福利部國民健康署. (2022). 肺癌早期偵測計畫. https://www.hpa.gov.tw/Pages/List.aspx?nodeid=4619
衛生福利部國民健康署. (2024). 110年十大癌症發生率. https://www.gender.ey.gov.tw/gecdb/Stat_Statistics_DetailData.aspx?sn=nLF9GdMD%2B%2Bv41SsobdVgKw%3D%3D&_trms=c9c5ff26bc2b0520.1699343881314
蕭慧君. (2023). 價格戰之外,醫生用藥決策之表裡表量. https://tdr.lib.ntu.edu.tw/handle/123456789/88793

英文文獻:
Altomare, I., Irwin, B., Zafar, S. Y., Houck, K., Maloney, B., Greenup, R., & Peppercorn, J. (2016). ReCAP: Physician experience and attitudes toward addressing the cost of cancer care. https://doi.org/10.1200/JOP.2015.007401
Bray, F., Laversanne, M., Sung, H., Ferlay, J., Siegel, R. L., Soerjomataram, I., & Jemal, A. (2024). Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 74, 229–263. https://acsjournals.onlinelibrary.wiley.com/doi/epdf/10.3322/caac.21834
Geneonline(2017).QALY. https://geneonline.news/counting-the-cost-of-care-pharmacoeconomics-in-the-genomic-era/
Glatzer, M., Panje, C. M., Sirén, C., Cihoric, N., & Putora, P. M. (2020). Decision making criteria in oncology. Oncology, 98(6), 370–378. https://karger.com/ocl/article/98/6/370/239414/Decision-Making-Criteria-in-Oncology
Holleman, M. S., Al, M. J., Zaim, R., Groen, H. J. M., & Uyl-de Groot, C. A. (2020). Cost-effectiveness analysis of the first-line EGFR-TKIs in patients with non-small cell lung cancer harbouring EGFR mutations. The European Journal of Health Economics,21,153–164. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058671/pdf/10198_2019_Article_1117.pdf
Murshid, M. A., & Mohaidin, Z. (2017). Models and theories of prescribing decisions: A review and suggested a new model. Pharmacy Practice, 15(2), 990. https://doi.org/10.18549/PharmPract.2017.02.990
National Cancer institute. (2023). Drugs Approved for Lung Cancer. https://www.cancer.gov/about-cancer/treatment/drugs/lung#2
Precedence research. (2023). Lung Cancer Therapeutics Market Size, Share, and Trends https://www.precedenceresearch.com/lung-cancer-therapeutics-market
Shrestha, D. S., Manandhar, S., Rijal, R., & Ngelangel, C. A. (2020). Physicians’ attitude towards cancer and cancer patients in Jose R Reyes Memorial Medical Center. Asian Pacific Journal of Cancer Care, 5(4), 307-314. http://waocp.com/journal/index.php/apjcc/article/view/601
Sharifnia, S. H., Mohammadzadeh, M., Arzani, G., Salamzadeh, J., Abolfazli, S. A., Zali, A., & Khoshdel, A. R. (2018). Main factors affecting physicians’ prescribing decisions: The Iranian experience. Iranian Journal of Pharmaceutical Research. Retrieved from https://brieflands.com/articles/ijpr-124781
Sharifnia, S. H. A., Mohammadzadeh, M. A., Arzani, G., Salamzadeh, J., Abolfazli, S. A., Zali, A., & Khoshdele, A. R. (2017). Main factors affecting physicians’ prescribing decisions: The Iranian experience. Iranian Journal of Pharmaceutical Research, 17(3), 1105-1115. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6094427/
The Lancet Regional Health. (2024). Latest advances in treatment for non-small cell lung cancer. https://www.thelancet.com/infographics-do/non-small-cell-lung-cancer-2024
Wang, T., Li, Y., & Zheng, X. (2023). Cost-effectiveness of the combination of immunotherapy and chemotherapy for extensive-stage small-cell lung cancer: a systematic review. BMC Health Services Research, 23, 691 https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-023-09727-7
Yong, A. S. J., Lim, Y. H., Cheong, M. W. L., Hamzah, E., & Teoh, S. L. (2022). Willingness-to-pay for cancer treatment and outcome: a systematic review. European Journal of Health Economics, 23, 1037– https://pubmed.ncbi.nlm.nih.gov/34853930/
Zhou, X., Zhang, X., Yang, L., Hu, X., Shen, A., Huang, X., & Xie, X. (2019). Influencing factors of physicians’ prescription behavior in selecting essential medicines: a cross-sectional survey in Chinese county hospitals. BMC Health Services Research, 19, 980. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923978/
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93584-
dc.description.abstract近十年來,肺癌的發生率及死亡率在全球及台灣皆居高不下。根據世界衛生組織(WHO)的數據,肺癌是全球癌症死亡的主要原因。在台灣,肺癌死亡率在男女中均為第一位,尤其是在50至80歲的年齡層。吸菸、二手菸和空氣污染是主要危險因子。儘管男性吸菸率下降,女性肺腺癌的發生率卻逐年上升,對家庭和健保系統造成巨大壓力。

同時,過去十年中,肺癌治療新藥的發展如火如荼,包括化學治療、標靶藥物治療、免疫檢查點抑制劑治療及細胞治療等皆有良好的臨床試驗結果。然而,許多新藥在尚未納入台灣健保前,患者需自費購買。根據衛生福利部的資料,癌症治療費用高昂,肺癌的醫療支出尤為顯著。2023年,癌症健保支出達到1399億點,其中肺癌治療的醫療費用達243億點。癌症患者的醫療費用隨年齡增長而上升,對健保系統造成沉重負擔。因此,本研究旨在探討自費肺癌藥物對醫師處方決策的影響,分析影響醫師處方決策的因素,以提升病患和醫師對治療肺癌的共同目標,進而改善整體治療效果。

本研究主要在探討醫師在處方自費肺癌藥物時的考量因素及其影響。藉由探討台灣及全球肺癌趨勢、台灣健保制度下的癌症藥物自費市場、自費癌症藥物之決策點、以及醫師之癌症藥物處方因素,以具體分析影響醫師處方自費肺癌藥物的決策因素,建構影響構面及利用層級分析法得出影響權重。為更多了解醫師處方自費肺癌藥物的不同考量因素,本研究將針對第三方觀點、資訊傳遞管道、藥品特徵及藥廠資源構面,對於不同醫院屬性以及不同醫師特徵來探討決策的影響程度,歸納後得到以下結果:
(1) 整體群體及各分群體對於四大考量構面呈現出相似的趨勢
(2) 不同醫師族群對於考量點不同,特別是在治療經驗有落差時
(3) 劃分出兩類群體(Group X、Group Y),藥廠針對這兩類群體擬定不同的策略

總結來說,本研究探討針對不同醫師群體的差異化,擬定行銷策略,以提高醫師對自費肺癌藥物的處方信心,達到藥廠、醫師及患者三贏的局面。
zh_TW
dc.description.abstractOver the past decade, the incidence and mortality rates of lung cancer have remained high both globally and in Taiwan. According to data from the World Health Organization (WHO), lung cancer is the leading cause of cancer-related deaths worldwide. In Taiwan, lung cancer has the highest mortality rate among both men and women, particularly in the 50 to 80 age group. Smoking, second-hand smoke, and air pollution are major risk factors. Although the smoking rate among men has decreased, the incidence of lung adenocarcinoma in women has continued to rise, placing significant pressure on families and the healthcare system.
Simultaneously, the development of new drugs for lung cancer treatment has been vigorous over the past decade, including chemotherapy, targeted therapy, immune checkpoint inhibitors, and cell therapy, all showing promising clinical trial results. However, many new drugs must be purchased out-of-pocket by patients before they are included in Taiwan's National Health Insurance (NHI). According to the Ministry of Health and Welfare, cancer treatment costs are substantial, with lung cancer medical expenses being particularly significant. In 2023, cancer-related NHI expenditures reached 139.9 billion points, with lung cancer treatment accounting for 24.3 billion points. As cancer patients' medical expenses increase with age, this places a heavy burden on the NHI system. Therefore, this study aims to investigate the impact of out-of-pocket lung cancer drugs on physicians' prescription decisions, analyzing the factors that influence these decisions to enhance the shared treatment goals of patients and physicians, ultimately improving overall treatment outcomes.
This study primarily explores the considerations and influences on physicians when prescribing self-paid lung cancer medications. By examining lung cancer trends in Taiwan and globally, the out-of-pocket cancer drug market under Taiwan's National Health Insurance system, decision points for self-paid cancer medications, and the factors influencing physicians' prescription of cancer drugs, this study aims to concretely analyze the decision factors affecting physicians' prescription of self-paid lung cancer medications. The research constructs influencing dimensions and utilizes the Analytic Hierarchy Process (AHP) to determine the weight of these influences. To better understand the various considerations physicians have when prescribing self-paid lung cancer medications, this study investigates the impact of third-party perspectives, information dissemination channels, drug characteristics, and pharmaceutical company resources on decision-making. These factors are analyzed in relation to different hospital attributes and physician characteristics, leading to the following conclusions:
(1) The overall group and each subgroup exhibit similar trends regarding the four main consideration dimensions.
(2) Different physician groups prioritize different consideration points, especially when there is a discrepancy in treatment experience.
(3) Two groups (Group X and Group Y) were identified, with different strategies proposed for each by pharmaceutical companies.
In summary, this study explores differentiated marketing strategies for various physician groups to increase physicians' confidence in prescribing out-of-pocket lung cancer drugs, and achieve a win-win situation for pharmaceutical companies, physicians, and patients.
en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-08-05T16:43:20Z
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dc.description.tableofcontents致謝 II
中文摘要 III
英文摘要 IV
目次 VI
圖次 VIII
表次 X
第一章 緒論 1
第一節 研究動機 1
第二節 研究問題與目的 3
第三節 研究流程 4
第二章 文獻探討 7
第一節 全球以及肺癌趨勢 7
第二節 台灣健保制度下的癌症藥物自費市場 14
第三節 自費癌症藥物之決策點 17
第四節 醫師之癌症藥物處方因素 20
第三章 研究方法說明 27
第一節 研究設計 (研究構面與問卷) 27
第二節 研究對象及資料收集 28
第三節 問卷架構與設計 31
第四節 分析方法 35
第四章 研究結果與分析 45
第一節 總群體之AHP權重分析 49
第二節 分群組之AHP權重分析 55
第三節 綜合比較 100
第四節 藥廠資源決策配適度 107
第五章 結論與建議 112
第一節 研究結論 112
第二節 研究建議及實務運用 115
第三節 研究限制與未來方向 117
參考文獻 118
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dc.language.isozh_TW-
dc.subject醫師處方決策zh_TW
dc.subject行銷策略zh_TW
dc.subject自費藥物zh_TW
dc.subject癌症藥物市場zh_TW
dc.subject肺癌zh_TW
dc.subject層級分析法zh_TW
dc.subjectAnalytic Hierarchy Process (AHP)en
dc.subjectLung canceren
dc.subjectPhysicians'prescription decisionsen
dc.subjectOut-of-pocket medicationsen
dc.subjectCancer drug marketen
dc.subjectMarketing strategyen
dc.title自費癌症藥物取得新適應症之處方決策評估 -以層級分析法分析醫師對肺癌藥物的評估zh_TW
dc.titleAssessing of Prescription Decisions for Self-Paid Cancer Drugs with New Indications: An AHP Analysis of Physicians' Evaluation of Lung Cancer Drugen
dc.typeThesis-
dc.date.schoolyear112-2-
dc.description.degree碩士-
dc.contributor.coadvisor潘令妍zh_TW
dc.contributor.coadvisorLing-Yen Panen
dc.contributor.oralexamcommittee余峻瑜;陳鴻基zh_TW
dc.contributor.oralexamcommitteeJiun-Yu Yu;Houn-Gee Chenen
dc.subject.keyword肺癌,醫師處方決策,自費藥物,癌症藥物市場,行銷策略,層級分析法,zh_TW
dc.subject.keywordLung cancer,Physicians' prescription decisions,Out-of-pocket medications,Cancer drug market,Marketing strategy,Analytic Hierarchy Process (AHP),en
dc.relation.page120-
dc.identifier.doi10.6342/NTU202401775-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2024-07-16-
dc.contributor.author-college進修推廣學院-
dc.contributor.author-dept生物科技管理碩士在職學位學程-
dc.date.embargo-lift2029-07-15-
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