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. 2022 May 26;5(2):ooac040.
doi: 10.1093/jamiaopen/ooac040. eCollection 2022 Jul.

Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health records

Kathleen A McGinnis  1 , Melissa Skanderson  1 , Amy C Justice  1   2 , Hilary A Tindle  3   4 , Kathleen M Akgün  2 , Aleksandra Wrona  1   3   4 , Matthew S Freiberg  3   4 , Matthew Bidwell Goetz  5   6 , Maria C Rodriguez-Barradas  7 , Sheldon T Brown  8 , Kristina A Crothers  9
Affiliations

Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health records

Kathleen A McGinnis et al. JAMIA Open. .

Abstract

Objective: Tobacco use/smoking for epidemiologic studies is often derived from electronic health record (EHR) data, which may be inaccurate. We previously compared smoking from the United States Veterans Health Administration (VHA) EHR clinical reminder data with survey data and found excellent agreement. However, the smoking clinical reminder items changed October 1, 2018. We sought to use the biomarker salivary cotinine (cotinine ≥30) to validate current smoking from multiple sources.

Materials and methods: We included 323 Veterans Aging Cohort Study participants with cotinine, clinical reminder, and self-administered survey smoking data from October 1, 2018 to September 30, 2019. We included International Classification of Disease (ICD)-10 codes F17.21 and Z72.0. Operating characteristics and kappa statistics were calculated.

Results: Participants were mostly male (96%), African American (75%) and mean age was 63 years. Of those identified as currently smoking based on cotinine, 86%, 85%, and 51% were identified as currently smoking based on clinical reminder, survey, and ICD-10 codes, respectively. Of those identified as not currently smoking based on cotinine, 95%, 97%, and 97% were identified as not currently smoking based on clinical reminder, survey, and ICD-10 codes. Agreement with cotinine was substantial for clinical reminder (kappa = .81) and survey (kappa = .83), but only moderate for ICD-10 (kappa = .50).

Discussion: To determine current smoking, clinical reminder, and survey agreed well with cotinine, whereas ICD-10 codes did not. Clinical reminders could be used in other health systems to capture more accurate smoking information.

Conclusions: Clinical reminders are an excellent source for self-reported smoking status and are readily available in the VHA EHR.

Keywords: ICD-10; Veterans Health Administration; cotinine; electronic health record (EHR); self-reported; smoking.

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