Cargando…
Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline
INTRODUCTION: Quitlines are an integral part of tobacco treatment programs and reach groups of smokers who have a wide range of barriers to cessation. Although tobacco dependence is chronic and relapsing, little research exists on factors that predict the likelihood of clients re-engaging and reconn...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198673/ https://www.ncbi.nlm.nih.gov/pubmed/30339773 http://dx.doi.org/10.5888/pcd15.180144 |
_version_ | 1783365006087159808 |
---|---|
author | Nair, Uma S. Brady, Benjamin R. O’Connor, Patrick A. Bell, Melanie L. |
author_facet | Nair, Uma S. Brady, Benjamin R. O’Connor, Patrick A. Bell, Melanie L. |
author_sort | Nair, Uma S. |
collection | PubMed |
description | INTRODUCTION: Quitlines are an integral part of tobacco treatment programs and reach groups of smokers who have a wide range of barriers to cessation. Although tobacco dependence is chronic and relapsing, little research exists on factors that predict the likelihood of clients re-engaging and reconnecting with quitlines for treatment. The objective of this study was to describe factors that predict the re-enrollment of clients in Arizona’s state quitline. METHODS: This was a retrospective analysis of data collected from clients (N = 49,284) enrolled in the Arizona Smokers’ Helpline from January 2011 through June 2016. We used logistic regression to analyze predictors of re-enrollment in services after controlling for theoretically relevant baseline variables (eg, nicotine dependence, smokers in the home) and follow-up variables (eg, program use, quit outcome). RESULTS: Compared with clients who reported being quit after their first enrollment, clients who reported not being quit were almost 3 times as likely to re-enroll (odds ratio = 2.89; 95% confidence interval, 2.54–3.30). Other predictors were having a chronic condition or a mental health condition, greater nicotine dependence, and lower levels of social support. Women and clients not having other smokers in the home were more likely to re-enroll than were men and clients not living with other smokers. CONCLUSION: Understanding baseline and in-program factors that predict client-initiated re-enrollment can help quitlines tailor strategies to proactively re-engage clients who may have difficulty maintaining long-term abstinence. |
format | Online Article Text |
id | pubmed-6198673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-61986732018-11-05 Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline Nair, Uma S. Brady, Benjamin R. O’Connor, Patrick A. Bell, Melanie L. Prev Chronic Dis Original Research INTRODUCTION: Quitlines are an integral part of tobacco treatment programs and reach groups of smokers who have a wide range of barriers to cessation. Although tobacco dependence is chronic and relapsing, little research exists on factors that predict the likelihood of clients re-engaging and reconnecting with quitlines for treatment. The objective of this study was to describe factors that predict the re-enrollment of clients in Arizona’s state quitline. METHODS: This was a retrospective analysis of data collected from clients (N = 49,284) enrolled in the Arizona Smokers’ Helpline from January 2011 through June 2016. We used logistic regression to analyze predictors of re-enrollment in services after controlling for theoretically relevant baseline variables (eg, nicotine dependence, smokers in the home) and follow-up variables (eg, program use, quit outcome). RESULTS: Compared with clients who reported being quit after their first enrollment, clients who reported not being quit were almost 3 times as likely to re-enroll (odds ratio = 2.89; 95% confidence interval, 2.54–3.30). Other predictors were having a chronic condition or a mental health condition, greater nicotine dependence, and lower levels of social support. Women and clients not having other smokers in the home were more likely to re-enroll than were men and clients not living with other smokers. CONCLUSION: Understanding baseline and in-program factors that predict client-initiated re-enrollment can help quitlines tailor strategies to proactively re-engage clients who may have difficulty maintaining long-term abstinence. Centers for Disease Control and Prevention 2018-10-18 /pmc/articles/PMC6198673/ /pubmed/30339773 http://dx.doi.org/10.5888/pcd15.180144 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Original Research Nair, Uma S. Brady, Benjamin R. O’Connor, Patrick A. Bell, Melanie L. Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline |
title | Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline |
title_full | Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline |
title_fullStr | Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline |
title_full_unstemmed | Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline |
title_short | Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline |
title_sort | factors predicting client re-enrollment in tobacco cessation services in a state quitline |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198673/ https://www.ncbi.nlm.nih.gov/pubmed/30339773 http://dx.doi.org/10.5888/pcd15.180144 |
work_keys_str_mv | AT nairumas factorspredictingclientreenrollmentintobaccocessationservicesinastatequitline AT bradybenjaminr factorspredictingclientreenrollmentintobaccocessationservicesinastatequitline AT oconnorpatricka factorspredictingclientreenrollmentintobaccocessationservicesinastatequitline AT bellmelaniel factorspredictingclientreenrollmentintobaccocessationservicesinastatequitline |