Suppr超能文献

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.

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。

相似文献

2
Risk-Targeted Lung Cancer Screening: A Cost-Effectiveness Analysis.风险导向型肺癌筛查:成本效益分析。
Ann Intern Med. 2018 Feb 6;168(3):161-169. doi: 10.7326/M17-1401. Epub 2018 Jan 2.

引用本文的文献

5
Screening for Lung Cancer: CHEST Guideline and Expert Panel Report.肺癌筛查:CHEST 指南和专家小组报告。
Chest. 2021 Nov;160(5):e427-e494. doi: 10.1016/j.chest.2021.06.063. Epub 2021 Jul 13.

本文引用的文献

6
Abridged for Primary Care Providers.为初级保健提供者缩写。
Clin Diabetes. 2018 Jan;36(1):14-37. doi: 10.2337/cd17-0119.
7
Risk-Targeted Lung Cancer Screening: A Cost-Effectiveness Analysis.风险导向型肺癌筛查:成本效益分析。
Ann Intern Med. 2018 Feb 6;168(3):161-169. doi: 10.7326/M17-1401. Epub 2018 Jan 2.
9
The influence of time horizon on results of cost-effectiveness analyses.时间范围对成本效益分析结果的影响。
Expert Rev Pharmacoecon Outcomes Res. 2017 Dec;17(6):615-623. doi: 10.1080/14737167.2017.1331432. Epub 2017 May 23.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验