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Predictors of attrition in a randomized controlled trial of an electronic nicotine delivery system among people interested in cigarette smoking reduction.
Cobb, Caroline O; Budd, Serenity; Maldonado, Gabrielle; Imran, Rabia; Foulds, Jonathan; Yingst, Jessica; Yen, Miao-Shan; Kang, Le; Sun, Shumei; Hall, Phoebe Brosnan; Chowdhury, Nadia; Cohen, Joanna E.
Afiliação
  • Cobb CO; Department of Psychology, Virginia Commonwealth University, 612 N Lombardy St, Richmond, VA 23284, USA; Center for the Study of Tobacco Products, Virginia Commonwealth University, 100 West Franklin Street, Suite 200, Richmond, VA 23220, USA. Electronic address: cobbco@vcu.edu.
  • Budd S; Department of Biostatistics, Virginia Commonwealth University, One Capital Square 830 East Main Street, Richmond, VA 23219, USA.
  • Maldonado G; Department of Psychology, Virginia Commonwealth University, 612 N Lombardy St, Richmond, VA 23284, USA; Center for the Study of Tobacco Products, Virginia Commonwealth University, 100 West Franklin Street, Suite 200, Richmond, VA 23220, USA.
  • Imran R; Department of Psychology, Virginia Commonwealth University, 612 N Lombardy St, Richmond, VA 23284, USA; Center for the Study of Tobacco Products, Virginia Commonwealth University, 100 West Franklin Street, Suite 200, Richmond, VA 23220, USA.
  • Foulds J; Center for Research on Tobacco and Health, Penn State University College of Medicine, 30 Long Lane, Hershey, PA 17036, USA; Penn State University College of Medicine, Department of Public Health Sciences, 700 HMC Crescent Road, Hershey, PA 17033, USA.
  • Yingst J; Center for Research on Tobacco and Health, Penn State University College of Medicine, 30 Long Lane, Hershey, PA 17036, USA; Penn State University College of Medicine, Department of Public Health Sciences, 700 HMC Crescent Road, Hershey, PA 17033, USA.
  • Yen MS; Center for the Study of Tobacco Products, Virginia Commonwealth University, 100 West Franklin Street, Suite 200, Richmond, VA 23220, USA; Department of Biostatistics, Virginia Commonwealth University, One Capital Square 830 East Main Street, Richmond, VA 23219, USA.
  • Kang L; Department of Biostatistics, Virginia Commonwealth University, One Capital Square 830 East Main Street, Richmond, VA 23219, USA.
  • Sun S; Department of Biostatistics, Virginia Commonwealth University, One Capital Square 830 East Main Street, Richmond, VA 23219, USA.
  • Hall PB; Boston University, Department of Psychological and Brain Sciences, 64 Cummington Mall #149, Boston, MA 02215, USA.
  • Chowdhury N; NYU Langone Health, 550 First Avenue, New York, NY 10016, USA.
  • Cohen JE; Department of Health, Behavior and Society, Institute for Global Tobacco Control, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Contemp Clin Trials ; : 107662, 2024 Aug 12.
Article em En | MEDLINE | ID: mdl-39142511
ABSTRACT

BACKGROUND:

Mitigating attrition is a key component to reduce selection bias in longitudinal randomized controlled trials (RCTs). Few studies of electronic nicotine delivery systems (ENDS) allow for the examination of long-term retention. This analysis explores the relationship between attrition, baseline measures, and condition assigned for a RCT involving ENDS differing in nicotine delivery over a 24-week intervention period.

METHODS:

Participants (N = 520) who smoked ≥10 cigarettes per day [CPD] for ≥1 year and reported interest in reducing but not quitting were randomized to 1 of 4 conditions an ENDS containing 0, 8, or 36 mg/ml liquid nicotine (administered double-blind) or a cigarette-shaped plastic tube. Cox proportional hazards regression models were fit to examine attrition over time and predictors of attrition including baseline characteristics and condition. A stepwise approach was used to determine the final model; alpha was set at 0.05.

RESULTS:

Attrition did not differ significantly by condition (223/520), and most (69%) were lost-to-follow-up. Only age, education level, and household income were significantly predictive of attrition. For every additional year of age, attrition risk fell by 3%. Holding a bachelor's degree or higher was associated with reduced attrition risk. Those with the lowest income (<$10 K) were more likely to be withdrawn compared to those earning $10 K-39 K, and those with the highest income ($100 K+) were more likely to be withdrawn compared with the latter bracket and those earning $70-99 K.

CONCLUSION:

ENDS nicotine content did not drive differential attrition in this trial, and targeted retention efforts is needed for specific subgroups. Trial Registration # NCT02342795.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article