Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.

Journal: Drug and alcohol dependence
PMID: 31707266

Abstract

BACKGROUND: Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit predictors of nonadherence may help explain nonadherence and suggest tailored interventions to address it.

Authors

  • Nayoung Kim
    Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, WI 53711, USA. Electronic address: nkim86@ctri.wisc.edu.
  • Danielle E McCarthy
    Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, WI 53711, USA.
  • Wei-Yin Loh
    Department of Statistics, University of Wisconsin, Madison, WI 53706, USA.
  • Jessica W Cook
    Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, WI 53711, USA.
  • Megan E Piper
    Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, WI 53711, USA.
  • Tanya R Schlam
    Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, WI 53711, USA.
  • Timothy B Baker
    Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, WI 53711, USA.

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