Integrated data analysis of determinants of low-dose CT screening for lung cancer

肺癌低剂量CT筛查决定因素的综合数据分析

• 批准号: 10762098
• 负责人: Jan Marie Eberth
• 金额: $ 5.28万
• 依托单位: DREXEL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-09 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10762098
• 关键词: Integrated; data; analysis; determinants; low

PROJECT SUMMARY/ASTRACT The leading cause of cancer death in the U.S. is lung cancer. Results from the National Lung Screening Trial in 2011 revealed the potential to detect lung cancer at earlier stages using annual low-dose CT (LDCT) screening, thereby decreasing mortality by up to 20% in high-risk patients. Despite support from professional organizations and insurers, early evidence suggests that LDCT screening utilization is unacceptably low, with <4% of eligible persons being screened in the past 12 months. Little is known, however, about whether LDCT screening utilization varies across the U.S., and what personal- and broader macro-level factors enable or impede individuals from obtaining LDCT screening. This study will employ pooled data from the 2015 National Health Interview Survey (NHIS) and 2017 Behavioral Risk Factor Surveillance System (BRFSS), in addition to a variety of linked area-level datasets (e.g., American Community Survey), to estimate state- and county-level estimates of LDCT screening eligibility and utilization, and its associated individual- and area-level determinants. First, using an integrative data analysis framework, we will create census tract-, county- and state-level estimates of LDCT screening uptake in South Carolina using an innovative multilevel post-stratification modelling approach. The resulting rates will then be mapped, and we will perform geospatial and statistical comparisons between areas in the highest vs. lowest quartile of LDCT screening uptake. Finally, we will identify individual- and area-level determinants of LDCT screening using the aforementioned multilevel modelling approach. The findings from the proposed study will identify geographic disparities in LDCT screening uptake and related modifiable factors, which will help detect geographic areas and populations that would benefit from targeted outreach efforts and policy change.

项目概要/ASTRACT 在美国，癌症死亡的主要原因是肺癌。国家肺筛查试验的结果 2011年揭示了使用年度低剂量CT（LDCT）筛查在早期阶段检测肺癌的潜力， 从而降低高风险患者的死亡率高达20%。尽管专业人士的支持 组织和保险公司，早期证据表明LDCT筛查利用率低得令人无法接受， 在过去12个月内接受筛查的合格人员不到4%。然而，关于LDCT是否 筛查利用率在美国各地不同，以及哪些个人和更广泛的宏观因素使或 阻碍个人获得LDCT筛查。这项研究将使用2015年国家统计局的汇总数据。 健康访谈调查（NHIS）和2017年行为风险因素监测系统（BRFSS），此外， 各种链接的区域级数据集（例如，美国社区调查），以估计州和县级 LDCT筛查合格性和利用率的估计值及其相关的个人和地区水平 决定因素首先，使用综合数据分析框架，我们将创建人口普查区，县和 使用创新的多水平后分层建模方法对南卡罗来纳州LDCT筛查摄取的州一级估计。由此产生的利率将被映射，我们将执行地理空间和 LDCT筛查摄取的最高与最低四分位数区域之间的统计学比较。最后我们 将确定个人和地区水平的决定因素，LDCT筛查使用上述多层次 建模方法。拟议研究的结果将确定LDCT的地理差异 筛查吸收率和相关的可改变因素，这将有助于检测地理区域和人群， 将受益于有针对性的外联努力和政策变化。

项目成果

Changing recommendations for lung cancer screening: National Lung Cancer Roundtable member perspectives.

改变肺癌筛查的建议：国家肺癌圆桌会议成员的观点。

• DOI: 10.1002/cncr.34798
• 发表时间: 2023
• 期刊: Cancer
• 影响因子: 6.2
• 作者: Eberth,JanM;Gieske,MichaelR;Silvestri,GerardA
• 通讯作者: Silvestri,GerardA