Toward precision smoking cessation treatment I: Moderator results from a factorial experiment

Megan E Piper1, Tanya R Schlam1, Jessica W Cook2

  • 1Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, United States; University of Wisconsin School of Medicine and Public Health, Department of Medicine, Division of General Internal Medicine, United States.

Drug and Alcohol Dependence
|December 26, 2016
PubMed
Abstract

Insights

Tailoring tobacco cessation treatments is key. This study found that psychiatric history and smoking heaviness significantly altered how individuals responded to different intervention components, suggesting personalized approaches improve quit rates.

Area of Science:

  • Public Health
  • Clinical Research
  • Behavioral Science

Background:

  • Effective tobacco cessation treatments are crucial for public health.
  • The Multiphase Optimization Strategy (MOST) uses factorial experiments to identify optimal intervention components.
  • Understanding how patient characteristics influence treatment effectiveness is vital.

Purpose of the Study:

  • To examine if person-factor and smoking characteristics moderated intervention effects on smoking abstinence.
  • To identify differential responses to various smoking cessation intervention components.

Main Methods:

  • A fractional factorial experiment was conducted with 637 primary care patients.
  • Six intervention components were evaluated, including nicotine replacement therapy (NRT) and counseling.
  • Abstinence rates were assessed at 26 weeks.

Main Results:

  • Psychiatric history moderated intervention component effects.
  • Smoking heaviness also moderated intervention component effects.
  • Individuals with psychiatric history responded better to longer NRT durations but poorer to counseling, while heavier smokers responded poorer to counseling.

Conclusions:

  • Heavy smokers and those with psychiatric histories showed varied responses to different intervention components.
  • Factorial designs effectively reveal interactions between personal characteristics and interventions.
  • Further research is needed to confirm these findings for personalized tobacco cessation strategies.