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Identifying Patients for Whom Lung Cancer Screening Is Preference-Sensitive: A Microsimulation Study.识别肺癌筛查中具有偏好敏感性的患者:一项微观模拟研究。
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Implications of Nine Risk Prediction Models for Selecting Ever-Smokers for Computed Tomography Lung Cancer Screening.九种风险预测模型对选择持续吸烟者进行计算机断层扫描肺癌筛查的影响。
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A Pragmatic Trial of E-Cigarettes, Incentives, and Drugs for Smoking Cessation.电子烟、激励措施与药物戒烟的实用临床试验。
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Risk-Targeted Lung Cancer Screening: A Cost-Effectiveness Analysis.风险导向型肺癌筛查:成本效益分析。
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New Metrics for Economic Evaluation in the Presence of Heterogeneity: Focusing on Evaluating Policy Alternatives Rather than Treatment Alternatives.存在异质性时的经济评估新指标:关注于评估政策替代方案而非治疗替代方案。
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针对肺癌筛查的靶向激励计划可以改善人口健康和经济效率。

Targeted Incentive Programs For Lung Cancer Screening Can Improve Population Health And Economic Efficiency.

机构信息

David D. Kim (

Joshua T. Cohen is a research associate professor of medicine in the School of Medicine, Tufts University, and deputy director of the Center for the Evaluation of Value and Risk in Health, Tufts Medical Center.

出版信息

Health Aff (Millwood). 2019 Jan;38(1):60-67. doi: 10.1377/hlthaff.2018.05148.

DOI:10.1377/hlthaff.2018.05148
PMID:30615528
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6409129/
Abstract

Because an intervention's clinical benefit depends on who receives it, a key to improving the efficiency of lung cancer screening with low-dose computed tomography (LDCT) is to incentivize its use among the current or former smokers who are most likely to benefit from it. Despite its clinical advantages and cost-effectiveness, only 3.9 percent of the eligible population underwent LDCT screening in 2015. Using individual lung cancer mortality risk, we developed a policy simulation model to explore the potential impact of implementing risk-targeted incentive programs, compared to either implementing untargeted incentive programs or doing nothing. We found that compared to the status quo, an untargeted incentive program that increased overall LDCT screening from 3,900 (baseline) to 10,000 per 100,000 eligible people would save 12,300 life-years and accrue a net monetary benefit (NMB) of $771 million over a lifetime horizon. Increasing screening by the same amount but targeting higher-risk people would yield an additional 2,470-6,600 life-years and an additional $210-$560 million NMB, depending on the extent of the risk-targeting. Risk-targeted incentive programs could include provider-level bonuses, health plan premium subsidies, and smoking cessation programs to maximize their impact. As clinical medicine becomes more personalized, targeting and incentivizing higher-risk people will help enhance population health and economic efficiency.

摘要

由于干预措施的临床获益取决于接受干预的人群,因此提高低剂量计算机断层扫描(LDCT)肺癌筛查效率的关键是激励那些最有可能从中受益的当前或曾经吸烟者使用该方法。尽管 LDCT 具有临床优势和成本效益,但在 2015 年,只有 3.9%的符合条件的人群接受了 LDCT 筛查。我们利用个体肺癌死亡风险,开发了一个政策模拟模型,来探讨实施风险导向激励计划的潜在影响,同时将实施无目标激励计划和不采取任何措施的情况进行了比较。结果发现,与现状相比,一个无目标的激励计划将使总体 LDCT 筛查从 3900 例(基线)增加到 10000 例/每 10 万人,这样将在整个生命周期内挽救 12300 个生命年,并获得 7.71 亿美元的净货币收益(NMB)。如果同样增加筛查数量,但针对高风险人群,则将额外增加 2470-6600 个生命年,并额外获得 2.10-5.60 亿美元的 NMB,具体取决于风险目标的程度。风险导向激励计划可以包括针对提供者的奖金、健康计划保费补贴和戒烟计划,以最大限度地发挥其影响。随着临床医学变得更加个性化,针对和激励高风险人群将有助于提高人群健康和经济效率。