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

Volume: 205, Pages: 107668 - 107668
Published: Dec 1, 2019
Abstract
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.Identify and characterize subgroups of smokers based on adherence to nicotine replacement therapy (NRT).Secondary classification tree analyses of data from a 2-arm randomized controlled trial of Recommended Usual Care (R-UC, n = 315) versus...
Paper Details
Title
Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use
Published Date
Dec 1, 2019
Volume
205
Pages
107668 - 107668
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