通过血液和粪便检测增加结直肠癌筛查的临床和预算影响。

IF 1.4 4区 医学 Q3 HEALTH CARE SCIENCES & SERVICES American Health and Drug Benefits Pub Date : 2019-09-01
Joshua A Roth, Theo deVos, Scott D Ramsey
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引用次数: 0

摘要

背景:结直肠癌(CRC)筛查在降低死亡率方面是有效的,但近35%的符合条件的患者没有接受筛查。新的无创筛查方法可能有助于提高CRC筛查的参与率。目前的CRC筛查方法包括甲基化SEPT9 (SEPT9) DNA的血液筛查(Epi proColon),粪便免疫化学测试(FIT)的粪便筛查(粪便免疫化学测试),以及结合FIT和粪便DNA的多分析物粪便测试(Cologuard)。目的:评估健康计划的成本和临床意义,包括使用SEPT9 DNA、FIT和FIT/粪便DNA的血液筛查对不愿或无法接受其他推荐筛查方法的患者的临床和财政意义,并量化将CRC筛查参与从目前的65%扩大到80%的健康计划的临床和财政影响。方法:我们设计了一个模拟模型来评估无创筛查方案和无筛查非依从人群3年的临床和经济影响。临床输入来自同行评议文献中的SEPT9、FIT和FIT/粪便DNA验证研究、美国人口普查和同行评议文献中的其他来源。我们在一个假设的健康计划中建立了100万人口(0-64岁)的模型,以估计不同筛查方案下结直肠癌、晚期腺瘤和非晚期腺瘤的诊断。我们还模拟了与筛查、诊断随访和CRC治疗费用相关的支出,在3年的时间里,筛查率从15%(34,800名成员)增加到80%。结果:在健康计划人口中,有232,000名50至64岁的成员符合筛查条件,其中81,200人(35%)未接受筛查。每种筛查方案检测到的CRC病例数相似,包括SEPT9 221例,FIT 216例,FIT/粪便DNA 193例,未筛查49例。筛查与不筛查的3年每位会员每月(PMPM)成本影响以及对两种情况的阳性测试的评估,SEPT9为0.67美元,FIT为0.33美元,FIT/粪便DNA为0.69美元。包括结直肠癌的治疗费用,PMPM费用分别增加到1.08美元、0.71美元和0.98美元。结论:我们的模拟模型表明,3种基于血液和粪便的无创筛查方法的临床检出率相似。这些结果支持基于血液和粪便的筛查可以增加CRC筛查的参与率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Clinical and Budget Impact of Increasing Colorectal Cancer Screening by Blood- and Stool-Based Testing.

Background: Screening for colorectal cancer (CRC) is effective at reducing mortality, but nearly 35% of eligible patients do not get screened. New noninvasive screening methods may help increase CRC screening participation. Current CRC screening methods include blood-based screening with methylated Septin 9 (SEPT9) DNA (Epi proColon), stool-based screening with fecal immunochemical testing (FIT), and the multianalyte fecal test combining FIT and stool DNA (Cologuard).

Objectives: To estimate the cost and clinical implications to health plans, including the clinical and fiscal implications of the use of blood-based screening with SEPT9 DNA, FIT, and FIT/stool DNA, for patients who are unwilling or unable to undergo other recommended screening methods, and to quantify the clinical and fiscal impacts on health plans of expanding CRC screening participation from today's level of 65% up to 80%.

Methods: We designed a simulation model to estimate the 3-year clinical and economic impacts for noninvasive screening scenarios and for no screening in the screening-nonadherent population. Clinical inputs were derived from SEPT9, FIT, and FIT/stool DNA validation studies in the peer-reviewed literature, the US census, and other sources in the peer-reviewed literature. We modeled a population of 1 million covered lives (aged 0-64 years) in a hypothetical health plan to estimate CRC, advanced adenoma, and nonadvanced adenoma diagnoses for different screening scenarios. We also modeled the expenditures related to screening, diagnostic follow-up, and treatment costs for CRC for a 15% increase (34,800 members) to 80% screening over the course of 3 years.

Results: In the health plan population, 232,000 members aged 50 to 64 years were eligible for screening, of whom 81,200 (35%) were unscreened. The number of cases of CRC that were detected was similar for each screening scenario, including 221 for SEPT9, 216 for FIT, and 193 for FIT/stool DNA versus 49 for no screening. The 3-year per-member per-month (PMPM) cost impact for screening versus no screening and the evaluation of positive tests for the scenarios was $0.67 for SEPT9, $0.33 for FIT, and $0.69 for FIT/stool DNA. Including the treatment costs for CRC, the PMPM costs increased to $1.08, $0.71, and $0.98, respectively.

Conclusions: Our simulation model suggests that similar clinical detection rates are achievable with the 3 noninvasive blood- and stool-based screening methods. These results support a role for blood- and stool-based screening to increase participation in CRC screening.

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来源期刊
American Health and Drug Benefits
American Health and Drug Benefits Medicine-Health Policy
CiteScore
2.90
自引率
0.00%
发文量
4
期刊介绍: AHDB welcomes articles on clinical-, policy-, and business-related topics relevant to the integration of the forces in healthcare that affect the cost and quality of healthcare delivery, improve healthcare quality, and ultimately result in access to care, focusing on health organization structures and processes, health information, health policies, health and behavioral economics, as well as health technologies, products, and patient behaviors relevant to value-based quality of care.
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