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The predictive value of intake questions on informing tailored quitline services

Published online by Cambridge University Press:  17 June 2020

Ryan G. N. Seltzer Open the ORCID record for Ryan G. N. Seltzer [Opens in a new window] ,
Stephen Michael ,
Heather P. York  and
Nicole Yuan
Ryan G. N. Seltzer*
Affiliation:
Arizona Smokers' Helpline, Mel and Enid Zuckerman College of Public Health, The University of Arizona, 1295 North Martin Avenue, PO Box 245209, Tucson, Arizona85724, USA
Stephen Michael
Affiliation:
Arizona Smokers' Helpline, Mel and Enid Zuckerman College of Public Health, The University of Arizona, 1295 North Martin Avenue, PO Box 245209, Tucson, Arizona85724, USA
Heather P. York
Affiliation:
Southern New Hampshire University, School of Social Sciences, New Hampshire, 2500 North River Road, Manchester, NH03106, USA
Nicole Yuan
Affiliation:
Mel and Enid Zuckerman College of Public Health, The University of Arizona, 1295 North Martin Avenue, PO Box 245209, Tucson, Arizona85724, USA
*
Author for correspondence: Ryan G. N. Seltzer, E-mail: [email protected]
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Abstract

The Minimal Data Set are demographic and tobacco use questions asked during enrollment at many quitlines. We tested whether these questions can be used to predict program engagement and success, and to evaluate whether findings can inform the tailoring of protocols to disparate populations. We analyzed 7,920 Arizona Smokers' Helpline treatment records to test a Structural Equation Model of the mediating effects of quitline services and short-term cessation outcomes on the relationship between intake questions and 7-month quit rate. Education (b = 0.05), gender (b = 0.03), Medicaid (b = −0.09), longest length of previous quit attempt (b = 0.05), confidence in quitting for 24 h (b = 0.04), environmental risk (b = −0.05), and life stress (b = 0.04) all significantly (P < 0.05) predicted engagement in quitline services. Program engagement had a direct effect on an in-program cessation outcomes construct (b = 0.47) and 7-month quit rate (b = 0.44). This in-program cessation outcomes construct had a significant direct effect on 7-month quit rate (b = −0.12). This model showing the relationship between program engagement and outcomes suggests that tailoring protocols can focus on engaging clients who have historically not taken full advantage of quitline services.

Keywords

Quitlinesquantitative methodstobacco cessation
Type
Original Articles
Information
Journal of Smoking Cessation , Volume 15 , Issue 3 , September 2020 , pp. 149 - 156
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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