| 研究生: |
呂宜芃 Lu, Yi-Peng |
|---|---|
| 論文名稱: |
台灣大腸癌患者終身就業年數損失之估計 Estimation of lifetime loss of duration of employment for patients with colorectal cancer in Taiwan |
| 指導教授: |
古鯉榕
Ku, Li-Jung Elizabeth |
| 共同指導教授: |
王榮德
Wang, Jung-Der |
| 學位類別: |
碩士 Master |
| 系所名稱: |
醫學院 - 公共衛生學系 Department of Public Health |
| 論文出版年: | 2022 |
| 畢業學年度: | 110 |
| 語文別: | 中文 |
| 論文頁數: | 77 |
| 中文關鍵詞: | 大腸直腸癌 、平均餘命 、平均餘命損失 、終身就業年數 、終身就業年數損失 、生產力損失 、大腸癌篩檢 |
| 外文關鍵詞: | colorectal cancer, life expectancy, loss of life expectancy, employment, loss of lifetime employment duration, productivity loss, colorectal cancer screening |
| 相關次數: | 點閱:91 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
背景:大腸癌發生率與死亡率持續的增加,許多針對治療的研究,希望能降低整體的死亡率。近年由於大腸癌的早期診斷率低及治療效果,因此越來越多研究關注篩檢的成效。大腸癌的篩檢被證實可降低大腸癌的發生率以及死亡率,因此政府也在2004年開始推動篩檢政策,但在有限的資源下,評估疾病的預防策略是否真正能夠帶來醫療照護支出的減少,及降低患者生產力的損失,將是提供政策重要的參考。目前有部分研究針對大腸癌篩檢醫療照顧費用的評估,但少有研究針對患者因病所造成的生產力損失做評估,且過去研究無法反映終身的生產力的狀況,更無法確切地估計篩檢政策對於生產力狀況是否帶來正向的效果。
目的:本研究以就業年數作為生產力評估指標,旨在評估台灣大腸癌患者的終身生產力損失,並以過去篩檢資料為佐證,期望能藉此使民眾瞭解疾病,以及疾病預防可能帶來的影響,提供政府大腸癌預防政策的參考。
研究方法:本研究使用全民健康保險資料庫,納入2004-2017年所有註記在癌症登記資料庫之大腸癌患者,以期別分0-4期;對照族群為年齡、性別與診斷年與大腸癌匹配之一般人。透過長期追蹤的資料,進行外推估算患者終身的存活函數,求出平均餘命(Life expectancy, LE)、及平均餘命損失(Loss of life expectancy, loss-of-LE);再串聯大腸癌篩檢檔以取得病患是否因篩檢而提早發現大腸癌之資訊,以比較有接受篩檢及未篩檢者平均餘命損失之差異。並考慮患者65歲前每個年齡層在觀察期間之就業比例,累加起來可得出終身就業年數;將之與匹配之對照組相比,可得各期別之終身就業年數損失。以經篩檢與非經篩檢發現為各期別加權比例之依據,加總後估計並比較有接受篩檢及未篩檢者之終身就業年數損失。
研究結果:比較性別之差異,男性較女性終身就業年數損失更多,且越晚期診斷則性別差異更大。而以期別來看,第0、I期被診斷之患者幾乎無終身就業年數損失,第II~IV期之大腸癌患者診斷年齡越年輕,終身就業年數損失越大;第III期男性及女性分別都比其第IV期損失要少近6年以上。50-54歲年齡層中,男性經篩檢發現者較非經篩檢發現者之就業年數少損失1.35年,而女性經篩檢發現者少0.92年。篩檢與非經篩檢的平均餘命損失和就業年數損失,兩者皆隨年齡越大而遞減。比較性別之差異可發現,經篩檢發現較非經篩檢各年齡層所獲得的平均餘命女性大於男性,終身就業年數則為男性大於女性。
結論:在年輕者(45-54歲)以及早期治療(第0-I期)大腸癌,可以增加更多的平均餘命,並增加更多就業年數;年紀越輕經篩檢者,平均餘命損失要較非經篩檢者少越多,可見篩檢可提早發現並提早治療,延長患者的存活,並降低生產力的損失。大腸癌篩檢所獲得各年齡層所獲得的平均餘命女性大於男性,終身就業年數則為男性大於女性,有性別差異。
The aim of this study is to estimate the lifetime employment duration (LED) and loss-of lifetime employment duration (loss-of-LED), and the patients with colorectal cancer which were detected or non-detected by screening until 65-year-old. The subjects of this study were enrolled the patients with colorectal cancer who were first diagnosed in 2004 to 2017. The Kaplan-Meier method was used during the follow-up period of the patients. Simulating corresponding age-, sex-, and calendar year-matched referents for lifetime and employment duration extrapolation of the survival function by rolling-over algorithm. Multiplied each stage by the proportion for screening and non-screening groups and added them up to estimate the average benefit of screening. The finding showed that younger people (45-54 years old) and earlier stage (stage 0-I) colorectal cancer can saved lives and employment duration. The average life expectancy in younger people which detected by screened is much less than those who are not screened. According to the result of this study, colorectal screening program can lead to earlier detection and earlier treatment, prolong patients’ survival, and reduce productivity losses.
1. International Agency for Research on Cancer Global cancer observatory - cancer fact sheets. Available from: http://gco.iarc.fr/today/fact-sheets-cancers (accessed June 13, 2022).
2. 109年國人死因統計結果(2021)。2022年6月13日,取自衛生福利部網頁:https://www.mohw.gov.tw/cp-5017-61533-1.html
3. Wu TY, Chung CH, Lin CN, Hwang JS, Wang JD. Lifetime risks, loss of life expectancy, and health care expenditures for 19 types of cancer in Taiwan. Clin Epidemiol. 2018;10:581-591.
4. De Rosa M, Pace U, Rega D, et al. Genetics, diagnosis and management of colorectal cancer (Review). Oncol Rep 2015;34(3):1087-1096.
5. Issa IA, Noureddine M. Colorectal cancer screening: An updated review of the available options. World J Gastroenterol 2017;23(28):5086-5096.
6. Kuipers EJ, Grady WM, Lieberman D, et al. Colorectal cancer. Nat Rev Dis Primers 2015;1:15065.
7. Chiu HM, Chen SL, Yen AM, Chiu SY, Fann JC, Lee YC, Pan SL, Wu MS, Liao CS, Chen HH, Koong SL, Chiou ST. Effectiveness of fecal immunochemical testing in reducing colorectal cancer mortality from the One Million Taiwanese Screening Program. Cancer. 2015;121(18):3221-9.
8. Huang SY, Chen HM, Liao KH, Ko BS, Hsiao FY. Economic burden of cancers in Taiwan: a direct and indirect cost estimate for 2007-2017. BMJ Open 2020;10(10):e036341.
9. Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut 2017;66(4):683-691.
10. Thanikachalam K, Khan G. Colorectal Cancer and Nutrition. Nutrients 2019;11(1):164.
11. Onyoh EF, Hsu WF, Chang LC, Lee YC, Wu MS, Chiu HM. The Rise of Colorectal Cancer in Asia: Epidemiology, Screening, and Management. Curr Gastroenterol Rep 2019;21(8):36.
12. 衛生福利部公布癌症發生資料。2022年6月13日,取自衛生福利部國民健康署網頁:https://www.hpa.gov.tw/Home/Index.aspx
13. Wang YW, Chen HH, Wu MS, Chiu HM; Taiwanese Nationwide Colorectal Cancer Screening Program. Current status and future challenge of population-based organized colorectal cancer screening: Lesson from the first decade of Taiwanese program. J Formos Med Assoc 2018;117(5):358-364.
14. OECD Productivity Manual: A Guide to the Measurement of Industry-Level and Aggregate Productivity Growth, OECD, Paris, March 2001, page 9.
15. Azzani M, Roslani AC, Su TT. Financial burden of colorectal cancer treatment among patients and their families in a middle-income country. Support Care Cancer 2016;24(10):4423-32.
16. Luengo-Fernandez R, Leal J, Gray A, Sullivan R. Economic burden of cancer across the European Union: a population-based cost analysis. Lancet Oncol 2013;14(12):1165-74.
17. Ekwueme DU, Yabroff KR, Guy GP Jr, Banegas MP, de Moor JS, Li C, Han X, Zheng Z, Soni A, Davidoff A, Rechis R, Virgo KS; Centers for Disease Control and Prevention (CDC). Medical costs and productivity losses of cancer survivors--United States, 2008-2011. MMWR Morb Mortal Wkly Rep 2014;63(23):505-10.
18. Bradley CJ, Lansdorp-Vogelaar I, Yabroff KR, Dahman B, Mariotto A, Feuer EJ, Brown ML. Productivity savings from colorectal cancer prevention and control strategies. Am J Prev Med 2011;41(2):e5-e14.
19. Hanly P, Walsh PM, O Céilleachair A, Skally M, Staines A, Kapur K, Fitzpatrick P, Sharp L. Work-related productivity losses in an era of ageing populations: the case of colorectal cancer. J Occup Environ Med 2013;55(2):128-34.
20. Clarke L, Pockney P, Gillies D, Foster R, Gani J. Direct access colonoscopy service for bowel cancer screening produces a positive financial benefit for patients and local health districts. Intern Med J 2019;49(6):729-733.
21. Färkkilä N, Torvinen S, Sintonen H, Saarto T, Järvinen H, Hänninen J, Taari K, Roine RP. Costs of colorectal cancer in different states of the disease. Acta Oncol 2015;54(4):454-62.
22. McGrath C, Mihala G, Beesley VL, Lynch BM, Graves N, Gordon LG. "Cancer Put My Life on Hold": Work-Related Challenges Among Middle-aged Adults 12 Months After a Diagnosis of Colorectal Cancer. Cancer Nurs 2017;40(2):160-167.
23. Verberne CJ, Wiggers T, Grossmann I, de Bock GH, Vermeulen KM. Cost-effectiveness of a carcinoembryonic antigen (CEA) based follow-up programme for colorectal cancer (the CEA Watch trial). Colorectal Dis 2016;18(3):O91-6.
24. Blakely T, Sigglekow F, Irfan M, Mizdrak A, Dieleman J, Bablani L, Clarke P, Wilson N. Disease-related income and economic productivity loss in New Zealand: A longitudinal analysis of linked individual-level data. PLoS Med. 2021 Nov 30;18(11):e1003848.
25. Darbà J, Marsà A. Evaluation of productivity losses due to premature mortality from colorectal cancer. PLoS One 2020;15(12):e0244375.
26. Weir HK, Li C, Henley SJ, Joseph D. Years of Life and Productivity Loss from Potentially Avoidable Colorectal Cancer Deaths in U.S. Counties with Lower Educational Attainment (2008-2012). Cancer Epidemiol Biomarkers Prev 2017;26(5):736-742.
27. Chang YT, Wang F, Huang WY, Hsiao H, Wang JD, Lin CC. Estimated Loss of Lifetime Employment Duration for Patients Undergoing Maintenance Dialysis in Taiwan. Clin J Am Soc Nephrol 2021;16(5):746-756.
28. Yabroff KR, Borowski L, Lipscomb J. Economic studies in colorectal cancer: challenges in measuring and comparing costs. J Natl Cancer Inst Monogr 2013;2013(46):62-78.
29. 109年度全民健康保險醫療統計年報(2021)。2022年6月13日,取自衛生福利部統計處網頁:https://dep.mohw.gov.tw/DOS/lp-5103-113-xCat-y109.html
30. Hwang JS, Wang JD. Monte Carlo estimation of expexted quality-adjusted survival for follow-up studies. Stat Med 1999;18:1627-1640.
31. Hwang JS, Hu TH, Lee LJ, Wang JD. Estimating lifetime medical costs from censored claims data. Health Econ 2017;26(12):e332-e344.
32. OECD Statistics: Employment to population ratio Definition. Available from: https://stats.oecd.org/glossary/detail.asp?ID=4848 (accessed June 30, 2022).
33. Murray CJL, Lopez AD, editors. The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020. Cambridge: Harvard University Press on behalf of the World Health Organization and the World Bank; 1996.
34. Mathers CD. History of global burden of disease assessment at the World Health Organization. Arch Public Health 2020;78:77.
35. 梁玲郁(2005)。健康綜合測量的發展與啟示。台灣衛誌,24(3),197-207。
36. Von der Lippe E, Devleesschauwer B, Gourley M, Haagsma J, Hilderink H, Porst M, Wengler A, Wyper G, Grant I. Reflections on key methodological decisions in national burden of disease assessments. Arch Public Health 2020;78(1):137.
37. Yang SC, Lai WW, Chang HY, Su WC, Chen HH, Wang JD. Estimation of loss of quality-adjusted life expectancy (QALE) for patients with operable versus inoperable lung cancer: adjusting quality-of-life and lead-time bias for utility of surgery. Lung Cancer 2014;86(1):96-101.
38. MacDonald AJ, McEwan H, McCabe M, Macdonald A. Age at death of patients with colorectal cancer and the effect of lead-time bias on survival in elective vs emergency surgery. Colorectal Dis 2011;13(5):519-25.
39. Yang SC, Wang JD, Wang SY. Considering lead-time bias in evaluating the effectiveness of lung cancer screening with real-world data. Sci Rep 2021;11(1):12180.
40. Paulson EC, Wirtalla C, Armstrong K, et al. Gender influences treatment and survival in colorectal cancer surgery. Dis Colon Rectum 2009; 52:1982–91.
41. Yang Y, Wang G, He J, Ren S, Wu F, Zhang J, Wang F. Gender differences in colorectal cancer survival: A meta-analysis. Int J Cancer 2017;141(10):1942-1949.
42. Brenner H, Bouvier AM, Foschi R, Hackl M, Larsen IK, Lemmens V, Mangone L, Francisci S; EUROCARE Working Group. Progress in colorectal cancer survival in Europe from the late 1980s to the early 21st century: the EUROCARE study. Int J Cancer 2012;131(7):1649-58.
43. Numata M, Shiozawa M, Watanabe T, Tamagawa H, Yamamoto N, Morinaga S, Watanabe K, Godai T, Oshima T, Fujii S, Kunisaki C, Rino Y, Masuda M, Akaike M. The clinicopathological features of colorectal mucinous adenocarcinoma and a therapeutic strategy for the disease. World J Surg Oncol 2012;10:109.
44. Coughlin SS. Social determinants of colorectal cancer risk, stage, and survival: a systematic review. Int J Colorectal Dis 2020;35(6):985-995.
45. Azar I, Al Masalmeh N, Esfandiarifard S, Virk G, Kiwan W, Frank Shields A, Mehdi S, Philip PA. The impact of primary tumor sidedness on survival in early-onset colorectal cancer by stage: A National Veterans Affairs retrospective analysis. Cancer Med 2021;10(9):2987-2995.
46. Chen PC, Lee JC, Wang JD. Estimation of Life-Year Loss and Lifetime Costs for Different Stages of Colon Adenocarcinoma in Taiwan. PLoS One 2015;10(7):e0133755.
47. Cabanes A, Vidal E, Aragone´s N, Pe´rez-Go´mez B, Polla´n M, Lope V, et al. Cancer mortality trends in Spain: 1980–2007. Ann Oncol 2010; 21 Suppl 3:iii14–20.
48. Hanly P, Soerjomataram I, Sharp L. Measuring the societal burden of cancer: the cost of lost productivity due to premature cancer-related mortality in Europe. Int J Cancer 2015;136(4):E136-45.
49. Ladabaum U, Dominitz JA, Kahi C, Schoen RE. Strategies for Colorectal Cancer Screening. Gastroenterology 2020;158(2):418-432.
50. Dekker E, Tanis PJ, Vleugels JLA, Kasi PM, Wallace MB. Colorectal cancer. Lancet 2019;394(10207):1467-1480.
51. Chiu SY, Chuang SL, Chen SL, Yen AM, Fann JC, Chang DC, Lee YC, Wu MS, Chou CK, Hsu WF, Chiou ST, Chiu HM. Faecal haemoglobin concentration influences risk prediction of interval cancers resulting from inadequate colonoscopy quality: analysis of the Taiwanese Nationwide Colorectal Cancer Screening Program. Gut 2017;66(2):293-300.
52. Su SY, Huang JY. Effect of nationwide screening program on colorectal cancer mortality in Taiwan: a controlled interrupted time series analysis. Int J Colorectal Dis 2020;35(2):239-247.
53. Chen LS, Liao CS, Chang SH, Lai HC, Chen TH. Cost-effectiveness analysis for determining optimal cut-off of immunochemical faecal occult blood test for population-based colorectal cancer screening (KCIS 16). J Med Screen 2007;14(4):191-9.
54. Lee GH, Malietzis G, Askari A, Bernardo D, Al-Hassi HO, Clark SK. Is right-sided colon cancer different to left-sided colorectal cancer? - a systematic review. Eur J Surg Oncol 2015;41(3):300-8.