Predictors of Lung Cancer Screening Utilization in a Population-Based Survey

51Citations
Citations of this article
38Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Purpose: Annual low-dose CT (LDCT) screening in high-risk individuals has been recommended to detect lung cancer earlier and reduce mortality. The objective of this study was to identify demographic, financial, and health care factors associated with screening uptake in a population-based survey. Methods: Data from the Lung Cancer Screening Module and core modules of the 2017 Behavioral Risk Factor Surveillance System, a population-based survey administered via cell phone and landline, were analyzed to examine demographic, health, and financial factors associated with screening uptake among the 10 states that administered the screening module. Weighted frequencies and confidence intervals (CIs) were produced, and weighted Wald χ2 tests were used to compare differences in screening utilization by patient characteristics. A multivariate logistic mixed-effects model was constructed, in which participant clustering by state was accounted for with a random intercept. Results: The uninsured were less likely to undergo LDCT screening (odds ratio [OR], 0.28; 95% CI, 0.12-0.65). LDCT screening uptake was higher for participants with chronic respiratory conditions (OR, 4.14; 95% CI, 2.33-7.35); those who were divorced, separated, widowed, or refused to answer (OR, 1.41; 95% CI, 1.05-1.86); those who had previous cancer diagnoses (OR, 1.90; 95% CI, 1.40-2.56); and those aged 65 to 69 years (OR, 1.23; 95% CI, 1.06-1.44) or 70 to 74 years (OR, 1.17; 95% CI, 1.00-1.37). Utilization also varied significantly across states. Conclusions: Having a related health condition whereby participants were sensitized to the benefits of early screening (ie, another cancer diagnosis, presence of chronic respiratory conditions) and having insurance coverage were associated with higher LDCT screening uptake. Providers should engage LDCT-eligible patients through informed and shared decision making to increase preference-sensitive screening decisions.

Cite

CITATION STYLE

APA

Zgodic, A., Zahnd, W. E., Miller, D. P., Studts, J. L., & Eberth, J. M. (2020). Predictors of Lung Cancer Screening Utilization in a Population-Based Survey. Journal of the American College of Radiology, 17(12), 1591–1601. https://doi.org/10.1016/j.jacr.2020.06.015

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free