Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-29T02:08:03.977Z Has data issue: false hasContentIssue false
  • English
  • Français

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]
Get access Rights & Permissions [Opens in a new window]

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Balmford, J., Borland, R., & Burney, S. (2010). The influence of having a quit date on prediction of smoking cessation outcome. Health Education Research, 25(4), 698–706. https://doi.org/10.1093/her/cyq013CrossRefGoogle ScholarPubMed
Berman, O., & Gritz, E. (1991). Women and smoking: Current trends and issues for the 1990′s. Journal of Substance Abuse, 3, 221–228.CrossRefGoogle Scholar
Burns, E. K., Levinson, A. H., & Deaton, E. A. (2012). Factors in nonadherence to quitline services: Smoker characteristics explain little. Health Education & Behavior, 39(5), 596–602. https://doi.org/10.1177/1090198111425186CrossRefGoogle ScholarPubMed
Businelle, M. S., Kendzor, D. E., Reitzel, L. R., Costello, T. J., Cofta-Woerpel, L., Li, Y., … Wetter, D. W. (2010). Mechanisms linking socioeconomic status to smoking cessation: A structural equation modeling approach. Health Psychology, 29(3), 262–273. https://doi.org/10.1037/a0019285CrossRefGoogle ScholarPubMed
Cahill, K., Stevens, S., Perera, R., & Lancaster, T. (2013). Pharmacological interventions for smoking cessation: An overview and network meta-analysis. Cochrane Database of Systematic Reviews. Issue 5. Art. No.: CD009329. https://doi.org/10.1002/14651858.CD009329.pub2CrossRefGoogle ScholarPubMed
D'Silva, J., Schillo, B. A., Sandman, N. R., Leonard, T. L., & Boyle, R. G. (2011). Evaluation of a tailored approach for tobacco dependence treatment for American Indians. American Journal of Health Promotion: AJHP, 25(Suppl 5), S66–S69. https://doi.org/10.4278/ajhp.100611-QUAN-180CrossRefGoogle ScholarPubMed
Fagan, P., Augustson, E., Backinger, C. L., & O'Connell, M. E. (2007). Quit attempts and intention to quit cigarette smoking among young adults in the United States. American Journal of Public Health, 97(8), 1412–1420.CrossRefGoogle ScholarPubMed
Fildes, E. E., Kapella-Mshigeni, S., & Campbell-Heider, N. (2015). Outcomes of a one-time telephone intervention for smoking cessation in adults. Journal of Addictions Nursing, 26(4), 184–190, quiz E1. https://doi.org/10.1097/JAN.0000000000000093CrossRefGoogle ScholarPubMed
Fiore, M. C. (2008). Treating tobacco use and dependence: 2008 update U.S. Public Health Service Clinical Practice Guideline executive summary. Respiratory Care, 53(9), 1217–1222.Google Scholar
Fiore, M., Jaén, C. R., Baker, T. B., Bailey, W. C., Bennett, G., Benowitz, N. L., Christiansen, B. A., Connell, M., Curry, S. J., Dorfman, S. F., Fraser, D., Froelicher, E. S., Goldstein, M. G., Hasselblad, V., Healton, C. G., Heishman, S., Henderson, P. N., Heyman, R. B., Husten, C., Koh, H. K., Kottke, T. E., Lando, H. A., Leitzke, C., Mecklenburg, R. E., Mermelstein, R. J., Morgan, G., Mullen, P. D., Murray, E. W., Orleans, C. T., Piper, M. E., Robinson, L., Stitzer, M. L., Theobald, W., Tommasello, A. C., Villejo, L., Wewers, M. E., Williams, C. (2008). A clinical practice guideline for treating tobacco use and dependence. update. American Journal of Preventive Medicine, 35(2), 158–176.Google Scholar
Fisher, E., Lichtenstein, E., Haire-Joshu, D.. (1993). Multiple determinants of tobacco use and cessation. In CT, Orleans, & JD, Slade (Eds.), Nicotine addiction: Principles and management (pp. 59–88). New York: Oxford University Press.Google Scholar
Foulds, J., Gandhi, K. K., Steinberg, M. B., Richardson, D. L., Williams, J. M., Burke, M. V., & Rhoads, G. G. (2006). Factors associated with quitting smoking at a tobacco dependence treatment clinic. American Journal of Health Behavior, 30(4), 400–412. https://doi.org/10.5993/AJHB.30.4.6CrossRefGoogle Scholar
Gilbert, H., Sutton, S., & Sutherland, G. (2005). Who Calls QUIT®? The characteristics of smokers seeking advice via a telephone helpline compared with smokers attending a clinic and those in the general population. Public Health, 119(10), 933–939. https://doi.org/10.1016/j.puhe.2005.03.005CrossRefGoogle Scholar
Hettema, J. E., & Hendricks, P. S. (2010). Motivational interviewing for smoking cessation: A meta-analytic review. Journal of Consulting and Clinical Psychology, 78(6), 868–884. https://doi.org/10.1037/a0021498CrossRefGoogle ScholarPubMed
Hyland, A., Li, Q., Bauer, J., Giovino, G., Steger, C., & Cummings, K. M. (2004). Predictors of cessation in a cohort of current and former smokers followed over 13 years. Nicotine & Tobacco Research, 6(6), 363–369. https://doi.org/10.1080/14622200412331320761CrossRefGoogle Scholar
Hymowitz, N., Cummings, K., Hyland, A., Lynn, W., Pechacek, T., & Hartwell, T. (1997). Predictors of smoking cessation in a cohort of adult smokers followed for five years. Tobacco Control, 6(Suppl 2), S57–S62.CrossRefGoogle Scholar
Hymowitz, N, Sexton, M, Ockene, J, & Grandits, G (1991). Baseline factors associated with smoking cessation and relapse. Preventive Medicine, 20, 590–601.CrossRefGoogle ScholarPubMed
Li, L., Borland, R., Yong, H.-H., Fong, G. T., Bansal-Travers, M., Quah, A. C. K., Sirirassamee, B., … Fotuhi, O. (2010). Predictors of smoking cessation among adult smokers in Malaysia and Thailand: Findings from the International Tobacco Control Southeast Asia Survey. Nicotine & Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco, 12(Suppl), S34–S44. https://doi.org/10.1093/ntr/ntq030CrossRefGoogle ScholarPubMed
Lindson-Hawley, N., Thompson, T. P., & Begh, R. (2015). Motivational interviewing for smoking cessation. Cochrane Database of Systematic Reviews (3), CD006936. https://doi.org/10.1002/14651858.CD006936.pub3Google ScholarPubMed
Michael, S. S., Seltzer, R. G. N., Miller, S. D., & Wampold, B. E. (2012). Assessing counsellor effects on quit rates and life satisfaction scores at a tobacco quitline. Journal of Smoking Cessation, 7(2), 96–99. https://doi.org/10.1017/jsc.2012.19CrossRefGoogle Scholar
Minimal Data Set – North American Quitline Consortium. (n.d.). Retrieved May 17, 2017, from http://www.naquitline.org/?page=mdsGoogle Scholar
Neri, A. J., Momin, B. R., Thompson, T. D., Kahende, J., Zhang, L., Puckett, M. C., & Stewart, S. L. (2016). Use and effectiveness of quitlines versus Web-based tobacco cessation interventions among 4 state tobacco control programs. Cancer, 122(7), 1126–1133. https://doi.org/10.1002/cncr.29739CrossRefGoogle ScholarPubMed
Quirk, K., Miller, S., Duncan, B., & Owen, J. (2013). Group Session Rating Scale: Preliminary psychometrics in substance abuse group interventions. Counselling and Psychotherapy Research, 13(3), 194–200. https://doi.org/10.1080/14733145.2012.744425CrossRefGoogle Scholar
Rahman, M. S., Mannan, M., & Rahman, M. M. (2018). The intention to quit smoking: The impact of susceptibility, self-efficacy, social norms and emotional intelligence embedded model. Health Education, 118(1), 96–110. https://doi.org/10.1108/HE-06-2017-0033CrossRefGoogle Scholar
Royce, J., Hymowitz, N., Corbett, K., Hartwell, T., & Orlandi, M. (1993). Smoking cessation factors among African Americans and Whites. American Journal of Public Health, 83, 220–226.CrossRefGoogle ScholarPubMed
Vangeli, E., Stapleton, J., Smit, E. S., Borland, R., & West, R. (2011). Predictors of attempts to stop smoking and their success in adult general population samples: A systematic review. Addiction (Abingdon. England), 106(12), 2110–2121. https://doi.org/10.1111/j.1360-0443.2011.03565.xCrossRefGoogle ScholarPubMed
Vickerman, K. A., Schauer, G. L., Malarcher, A. M., Zhang, L., Mowery, P., & Nash, C. M. (2015). Quitline use and outcomes among callers with and without mental health conditions: A 7-month follow-up evaluation in three states. BioMed Research International, 2015, e817298. https://doi.org/10.1155/2015/817298CrossRefGoogle ScholarPubMed