A Pilot Study to Evaluate the Use of Automated Nicotine Metabolite Ratio Reporting Within Primary Care as an Implementation Strategy to Increase the Use of Tobacco Treatments

Author:

Schnoll Robert1ORCID,Leone Frank T2,Bauer Anna-Marika1,Wileyto E Paul3,Wollack Colin4,Stevens Nathaniel1,Blumenthal Daniel1,Foster Casey1,Koita Fodie1,Villasenor Julia1,Jenssen Brian P5ORCID

Affiliation:

1. Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania ,  Philadelphia, Pennsylvania , USA

2. Pulmonary, Allergy, and Critical Care Division, University of Pennsylvania ,  Philadelphia, Pennsylvania , USA

3. Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania ,  Philadelphia, Pennsylvania , USA

4. Perelman School of Medicine, University of Pennsylvania ,  Philadelphia, Pennsylvania , USA

5. Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania ,  Philadelphia, Pennsylvania , USA

Abstract

Abstract Introduction Concerns about safety and effectiveness of tobacco treatments reduce their use. We explored integrating the nicotine metabolite ratio (NMR), and messaging about its potential for improving safety and effectiveness, as a strategy to increase the use of tobacco treatments within primary care. Aims and Methods Through a prospective cohort design, we explored the effects of integrating NMR testing within primary care on the provision of tobacco treatment; 65 patients completed assessments including NMR before a clinic visit. At the clinic visit, patients’ clinicians received an electronic health record (EHR) alert about the patient’s NMR and personalized treatment recommendations to improve effectiveness and safety. Being asked about smoking and advised to quit, and a referral for tobacco treatment or medication prescription, were assessed within 30 days of the appointment and were compared to a usual care cohort (N = 85). Results The NMR and usual care cohorts reported similar rates of being asked about smoking (92.3% vs. 92.9%, p = 1.0), being advised to quit (72.3% vs. 74.1%, p = .85), being referred for tobacco treatment (23.1% vs. 36.5%, p = .11), and receiving tobacco use medications (20% vs. 27.1%, p = .34). In the NMR cohort, fast versus slow metabolizers were more likely to receive medication (26% vs. 0%, p = .003) and all patients who received varenicline (n = 8) were fast metabolizers. Conclusions NMR results and treatment recommendations did not increase tobacco treatment rates in primary care, although it may increase treatment rates and the use of varenicline for fast metabolizers. Future studies could test ways to use the NMR to increase tobacco treatment rates in clinical settings. Implications This study generated a novel implementation strategy, namely an EHR alert about patients’ NMR and personalized treatment recommendations, in an effort to increase tobacco treatment rates in primary care. While the strategy did not increase tobacco treatment rates, it may have boosted the rate of varenicline prescription for patients who metabolize nicotine faster, aligning with evidence-based practice.

Funder

National Institute on Drug Abuse

Publisher

Oxford University Press (OUP)

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