• Leah M Marcotte, Sara Khor, David R Flum, Nkem Akinsoto, Vandna Chaudhari, Douglas E Wood, Danielle C Lavallee, Matthew Triplette, and Farhood Farjah.
• Department of Medicine, University of Washington School of Medicine, 4245 Roosevelt Way NE, Seattle, WA 98105. Email: leahmar@uw.edu.
• Am J Manag Care. 2023 Sep 1; 29 (9): 439447439-447.

ObjectivesTo identify factors associated with the minimum necessary information to determine an individual’s eligibility for lung cancer screening (ie, sufficient risk factor documentation) and to characterize clinic-level variability in documentation.Study DesignCross-sectional observational study using electronic health record data from an academic health system in 2019.MethodsWe calculated the relative risk of sufficient lung cancer risk factor documentation by patient-, provider-, and system-level variables using Poisson regression models, clustering by clinic. We compared unadjusted, risk-adjusted, and reliability-adjusted proportions of patients with sufficient smoking documentation across 31 clinics using logistic regression models and 2-level hierarchical logit models to estimate reliability-adjusted proportions across clinics.ResultsAmong 20,632 individuals, 60% had sufficient risk factor documentation to determine screening eligibility. Patient-level factors inversely associated with risk factor documentation included Black race (relative risk [RR], 0.70; 95% CI, 0.60-0.81), non-English preferred language (RR, 0.60; 95% CI, 0.49-0.74), Medicaid insurance (RR, 0.64; 95% CI, 0.57-0.71), and nonactivated patient portal (RR, 0.85; 95% CI, 0.80-0.90). Documentation varied across clinics. The reliability-adjusted intraclass correlation coefficient decreased from 11.0% (95% CI, 6.9%-17.1%) to 5.3% (95% CI, 3.2%-8.6%), adjusting for covariates.ConclusionsWe found a low rate of sufficient lung cancer risk factor documentation and associations of risk factor documentation based on patient-level factors such as race, insurance status, language, and patient portal activation. Risk factor documentation rates varied across clinics, and only approximately half the variation was explained by factors in our analysis.

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