Effect of a Personalized Tobacco Treatment Intervention on Smoking Abstinence in Individuals Eligible for Lung Cancer Screening.

Biomarkers Counseling Randomization Smoking cessation Standard of care

Journal

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
ISSN: 1556-1380
Titre abrégé: J Thorac Oncol
Pays: United States
ID NLM: 101274235

Informations de publication

Date de publication:
15 Nov 2023
Historique:
received: 10 02 2023
revised: 07 11 2023
accepted: 13 11 2023
pubmed: 18 11 2023
medline: 18 11 2023
entrez: 17 11 2023
Statut: aheadofprint

Résumé

To determine whether personalized gain-framed messaging and biomarker feedback related to tobacco cessation or reduction decrease smoking behavior in patients undergoing or eligible for lung cancer screening. Between 2016 and 2020, 188 patients were enrolled in a two-phase, sequential, randomized controlled trial. Phase 1 evaluated whether standard of care (SC) (five in-person counseling sessions and 8 weeks of nicotine patch) plus gain-framed messaging (GFM) versus SC would increase 8-week biochemically verified smoking cessation rates. In 143 participants randomized in phase 2, we tested whether feedback on smoking-related biomarkers would reduce 6-month self-reported number of cigarettes smoked per day compared with a no feedback control. Chi-square test and mixed effects repeated measures analyses were used to evaluate group differences. Participants were 62.5 ± 5.6 (mean ± SD) years of age, had a 50.3 ± 21 pack-year smoking history, and were smoking 16.9 ± 9.9 cigarettes per day. At 8 weeks, there was no difference in quit rates between those randomized to SC plus GFM (n = 15 of 93, 16.1%) and those randomized to SC (n = 16 of 95, 16.8%), with p equals to 0.90. At the 6-month post-randomization follow-up, number of cigarettes smoked per day was similar in the feedback (least-squares mean = 7.5, 95% confidence interval: 6.0-9.1) and no feedback arms (7.7, 95% confidence interval: 6.2-9.3), with p equals to 0.87. Gain-framed messaging and health feedback did not significantly improve quit rates relative to comprehensive standard of care. Nevertheless, the overall program achieved clinically meaningful smoking quit rates in this older high pack-year cohort, highlighting the importance of intensive tobacco treatment for patients undergoing lung cancer screening. CLINICAL TRIAL REGISTERED WITH CLINICALTRIALS.GOV: NCT02658032.

Identifiants

pubmed: 37977486
pii: S1556-0864(23)02368-7
doi: 10.1016/j.jtho.2023.11.012
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT02658032']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Auteurs

Brenda Cartmel (B)

Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut; Yale Cancer Center, New Haven, Connecticut. Electronic address: brenda.cartmel@yale.edu.

Lisa M Fucito (LM)

Yale Cancer Center, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Smilow Cancer Hospital at Yale-New Haven, New Haven, Connecticut.

Krysten W Bold (KW)

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.

Susan Neveu (S)

Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut.

Fangyong Li (F)

Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut.

Alana M Rojewski (AM)

Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.

Ralitza Gueorguieva (R)

Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut.

Stephanie S O'Malley (SS)

Yale Cancer Center, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.

Roy S Herbst (RS)

Yale Cancer Center, New Haven, Connecticut; Department of Internal Medicine, Section of Medical Oncology, Yale University School of Medicine, New Haven, Connecticut.

Benjamin A Toll (BA)

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina; MUSC Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina.

Classifications MeSH