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Quit4hlth: a preliminary investigation of tobacco treatment with gain-framed and loss-framed text messages for quitline callers

Published online by Cambridge University Press:  21 May 2020

Alana M. Rojewski
Affiliation:
Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
Lindsay R. Duncan
Affiliation:
Department of Kinesiology and Physical Education, McGill University, Montreal, QC, Canada
Allison J. Carroll
Affiliation:
Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
Anthony Brown
Affiliation:
Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY, USA
Amy Latimer-Cheung
Affiliation:
Queen's University, School of Kinesiology and Health Studies, Kingston, ON, Canada
Paula Celestino
Affiliation:
Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY, USA
Christine Sheffer
Affiliation:
Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY, USA
Andrew Hyland
Affiliation:
Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY, USA
Benjamin A. Toll*
Affiliation:
Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA Hollings Cancer Center, Charleston, SC, USA
*
Author for correspondence: Benjamin Toll, E-mail: [email protected]

Abstract

Introduction

Recent evidence suggests that quitline text messaging is an effective treatment for smoking cessation, but little is known about the relative effectiveness of the message content.

Aims

A pilot study of the effects of gain-framed (GF; focused on the benefits of quitting) versus loss-framed (LF; focused on the costs of continued smoking) text messages among smokers contacting a quitline.

Methods

Participants were randomized to receive LF (N = 300) or GF (N = 300) text messages for 30 weeks. Self-reported 7-day point prevalence abstinence and number of 24 h quit attempts were assessed at week 30. Intent-to-treat (ITT) and responder analyses for smoking cessation were conducted using logistic regression.

Results

The ITT analysis showed 17% of the GF group quit smoking compared to 15% in the LF group (P = 0.508). The responder analysis showed 44% of the GF group quit smoking compared to 35% in the LF group (P = 0.154). More participants in the GF group reported making a 24 h quit attempt compared to the LF group (98% vs. 93%, P = 0.046).

Conclusions

Although there were no differences in abstinence rates between groups at the week 30 follow-up, participants in the GF group made more quit attempts than those in the LF group.

Type
Original Articles
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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