跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.62) 您好!臺灣時間:2025/11/16 19:23
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:朱庭嫻
研究生(外文):CHU,TING-HSIEN
論文名稱:型2糖尿病患者之共病症對於癌症發生之影響
論文名稱(外文):A Study of the Comorbidity Effect on Cancer Diagnose for Type 2 Diabetes.
指導教授:莊聲和莊聲和引用關係喬治華喬治華引用關係
口試委員:高棟樑劉文彬黃雅文
口試日期:2018-07-06
學位類別:碩士
校院名稱:東吳大學
系所名稱:財務工程與精算數學系
學門:數學及統計學門
學類:其他數學及統計學類
論文種類:學術論文
論文出版年:2018
畢業學年度:107
語文別:中文
論文頁數:60
中文關鍵詞:型2糖尿病癌症查爾森共病症
外文關鍵詞:Kaplan-Meier product limit estimatorCox proportional hazards model
相關次數:
  • 被引用被引用:2
  • 點閱點閱:372
  • 評分評分:
  • 下載下載:68
  • 收藏至我的研究室書目清單書目收藏:0
本研究旨在探討若型2糖尿病患者於確診前一年患有共病症病史,對未來癌症發生率之影響。希望能有利於保險公司更了解糖尿病患者之共病症與癌症之間的關係,而對不同族群之患者實施差別訂價,達到讓保險公司設計出更具保費競爭力商品之效果。使用全民健康保險研究資料庫之「糖尿病人抽樣歸人檔」及「重大傷病證明明細檔」擷取資料。共病症定義採用Romano et al. (1993)整理歸納之查爾森共病症分群。並將45歲以上糖尿病患區間分為三個年齡組探討,定義之危險因子包含首次罹病年齡、性別及查爾森共病症。本研究之研究方法為利用 Kaplan-Meier product limit estimator 估計不同年齡組之癌症發生率,再以 Log-Rank Test 檢定可能之危險因子,最後利用 Cox proportional hazards model 建立危險函數模型。由研究結果可知,「45歲至54歲」及「55歲至64歲」年齡層中,男性之罹癌風險都較女性較大,可酌量調整保費。而「45歲至54歲」糖尿病患、無潰瘍性疾病病史,但曾患有中度或嚴重肝臟疾病或腎臟疾病之患者罹癌風險較高,可考慮將其拒保。「55歲至64歲」年齡層中之患者,不論是否曾患有潰瘍性疾病,只要曾患有腎臟疾病之患者罹癌風險皆較高,亦可酌量對保戶之保費進行調整。「65歲以上」年齡層之患者,須對男女進行不同之收費標準。其中,女性患者若曾患有腎臟疾病及潰瘍性疾病之患者,可予以加費。希望本研究之結果能提供保險公司透過健康告知書之資訊,了解需加費或拒保處理之患者,進而使得承保之糖尿病患者未來癌症發生率降低也可設計出更具保費競爭力之保險商品;對於糖尿病患者而言則可享有較公平合理之保費。
The purpose of this study is to explore the impact of comorbidities diagnosed a year before on the incidence rate of cancer in patients with type 2 diabetes. It is hoped that the study could help insurance companies to better understand the relationship between comorbidities and cancer in diabetic patients, and implement differential pricing for patients with different baseline illness, therefore allowing insurance companies to design products that are more competitive. We used the "Diabetes dataset (DM) " and "Registry for catastrophic illness Patients (HV)" from the National Health Insurance Research Database (NHIRD) in Taiwan. The definition of comorbidities in this study follow those of Romano et al. (1993)’s. Patients with diabetes were attributed to three different age groups. Risk factors included age, gender, and the Charlson comorbidity. We used the Kaplan-Meier Product Limit Estimator to estimate cancer incidences in three age groups, then log-rank test to identify possible risk factors. Finally, the Cox proportional hazards model for hazard function model. Based on our results, the risk of men suffering from cancer is greater than those in women in the age group of "45 to 54" and "55 to 64", suggesting that the premium can be adjusted accordingly. In the age group of "45 to 54", patients with no history of ulcer diseases, but with moderate or severe liver or renal diseases have a higher risk of suffering from cancer, suggesting that rejection to insured may be considered. In the "55-64" age group, patients who have suffered from renal diseases have higher incidence rate of cancer, regardless of history of ulcer diseases, therefore charging higher premium may be reasonable in this group of patients. Patients in the "65+" age group should be charged differently according to their gender. Among them, female patients who have suffered from renal diseases and ulcer diseases may be charged with higher premium. We hope that the results of this study can provide insurance companies guidance on identifying those who require higher premium or those that are more reasonable to reject, in order to establish products that are more competitive for patients with diabetes and low future incidence rate of cancer. In establishing more reasonable pricing, it is also fairer and give better protection to patients with type 2 diabetes.
第一章 緒論 ----------------------------------1
第二章 資料來源與名詞定義 -----------------------4
第一節 資料來源 --------------------------------4
第二節 名詞定義 --------------------------------5
第三章 研究方法 -------------------------------10
第一節Kaplan-Meier估計量及Log-Rank 檢定 -------10
第二節 Cox proportional hazards model --------10
第四章 研究結果 -------------------------------13
第一節 危險因子分析結果 ------------------------13
第二節 危險比率檢定 ----------------------------17
第三節 危險函數模型 ----------------------------24
第四節 基本存活函數 ----------------------------32
第五節 存活函數 --------------------------------33
第六節 保費試算 --------------------------------34
第五章 結論與討論 ------------------------------36
參考文獻 --------------------------------------38
附錄一 ----------------------------------------40
附錄二 ----------------------------------------45
附錄三 ----------------------------------------50

1.沈宜靜、林建良、許惠恒,2011,糖尿病與癌症之關聯以及台灣現況探討,內科學誌2011,22,頁19-30。
2.林毅欣,2018,糖尿病與失智症之文獻回顧,內科學誌 2018,29,86-91
3.朱育增、吳肖琪,2010,回顧與探討次級資料適用之共病測量方法,台灣衛誌 2010, Vol.29, No.1,頁8-21。
4.Baldwin L.M., Klabunde C.N., Green P., Barlow W., Wright G. 2006, In Search of the Perfect Comorbidity Measure for Use with Administrative Claims Data:Does it Exist? Med Care, 44:745-753.
5.Charlson M.E., Pompei P., Ales K.L., MacKenzie C.R. 1987, A New Method of
Classifying Prognostic Comorbidity in Longitudinal Studies: Development and
Validation, J Chronic Dis, 40:373-383.
6.Chen H.F., Chen P., Li C.Y., Risk of malignant neoplasms of liver and biliary tract in diabetic patients with different age and sex stratifications. Hepatology 2010; 52: 155-163.
7.Deyo R.A., Cherkin D.C., Ciol M.A.,1992, Adapting a Clinical Comorbidity Index for Use with ICD-9-CM Administrative Databases. J Clin Epideniol, 45:613-619.
8.DHoore W., Sicotte C., Tilquin C.,1993, Risk Adjustment in Outcome Assessment: The Charlson Comorbidity Index. Methods Inf Med, 32:382-387.
9.David G.K., Mitchel K., 2005, Survival Analysis a Self-Learning Text, Third Edition, Springer.
10.Inoue M., Iwasaki M., Otani T., Sasazuki S., Noda S., Tsugane S., DMSc. Diabetes Mellitus and the Risk of Cancer. Arch intern med/vol 166, 2006
11.Klugman S.A., Panjer H.H., Willmot G.E., 2008, Loss Models: From Data to Decisions, Third Edition, Wiley.
12.Lin S.Y., Hsieh M.S., Chen L.S., Chiu Y.H., Yen A.M., Chen T.H., Diabetes mellitus associated with the occurrence and prognosis of non-Hodgkin’s lymphoma. Eur J Cancer Prev 2007; 16: 471-478.
13.Romano P.S., Roos L.L., Jollis J.G.,1993, Adapting a Clinical Comorbidity
Index for Use with ICD-9-CM Administrative Data: Differing Perspectives. J
Clin Epidemiol, 46:1075-1079.
14.Tseng C.H., Chong C.K., Tai T.Y., Secular trend for mortality from breast cancer and the association between diabetes and breast cancer in Taiwan between 1995 and 2006. Diabetologia 2009; 52: 240-246.
15.Tseng C.H., Chong C.K., Tseng C.P., Chan T.T., Age-related risk of mortality from bladder cancer in diabetic patients: a 12-year follow-up of a national cohort in Taiwan. Ann Med 2009; 41: 371-379.
16.Tseng C.H., Tseng C.P., Chong C.K., et al. Increasing incidence of diagnosed type 2 diabetes in Taiwan: analysis of data from a national cohort. Diabetologia 2006; 49: 1755-1760.
17.Tseng C.H., Mortality and causes of death in a national sample of diabetic patients in Taiwan. Diabetes Care 2004;27: 1605-1609.
18.Wang C.S., Yao W.J., Chang T.T., Wang S.T., Chou P., The impact of type 2 diabetes on the development of hepatocellular carcinoma in different viral hepatitis statuses. Cancer Epidemiol Biomarkers Prev 2009; 18: 2054-2060.
19.Wu C.H., Wu T.Y., Li C.C., Lui M.T., Chang K.W., Kao S.Y., Impact of diabetes mellitus on the prognosis of patients with oral squamous cell carcinoma: a retrospective cohort study. Ann Surg Oncol 2010; 17: 2175-2183.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top