Automated Telephone Monitoring for Relapse Risk among Recent Quitters Enrolled in Quitline Services

dc.contributor.authorMcDaniel, Anna M.
dc.contributor.authorCarlini, Beatriz H.
dc.contributor.authorStratton, Renée M.
dc.contributor.authorCerutti, Barbara
dc.contributor.authorMonahan, Patrick O.
dc.contributor.authorStump, Timothy E.
dc.contributor.authorKauffman, Ross M.
dc.contributor.authorZbikowski, Susan M.
dc.date.accessioned2016-09-15T18:36:23Z
dc.date.available2016-09-15T18:36:23Z
dc.date.issued2011-04-08
dc.descriptionposter abstracten_US
dc.description.abstractThis study is part of a randomized controlled trial to test the efficacy of interactive voice response (IVR) technology for enhancing existing quitline services (Free & Clear’s Quit for Life® program) to prevent smoking relapse and achieve abstinence. The IVR system screens for six indicators of risk for relapse including smoking lapse, physical withdrawal symptoms, depressive symptoms, perceived stress, decreased self-efficacy for quitting, and decreased motivation to quit. Participants can screen positive on any one or more risks, resulting in a rollover call to a telephone counselor. There are two intervention arms that differ in timing and frequency of IVR screening. In the Technology Enhanced Quitline arm (TEQ-10), 10 automated calls are placed at decreasing frequency for 8 weeks post-quit (twice a week for the first two weeks, then weekly). The High Intensity Technology-Enhanced Quitline arm (TEQ-20) includes 20 IVR calls (daily for the first 2 weeks, then weekly). This preliminary analysis includes IVR data collected on calls from 4/12/2010 to 10/31/2010. 2620 calls were made to 98 participants in the two intervention arms, TEQ-10 (n=44) and TEQ-20 (n=54). The two arms did not differ significantly on demographics or comorbid conditions. Three outcomes were analyzed: completed screening assessments, positive screen for relapse risk, and smoking lapse (i.e., smoking even a puff since the last call). 136 of the 736 (18.5%) completed assessments were positive for relapse risk: 66 for smoking lapse (49%), 42 craving (31%), 32 depressive symptoms (24%), 27 lack of confidence (20%), 8 stress (6%), and 8 lack of motivation (6%). Logistic regression models (adjusted for age and gender), with GEE estimation to account for withinperson correlation, showed that compared to the TEQ-10 study group, participants in the TEQ-20 study group were more likely to complete assessments (OR=1.7; 95% CI=1.2-2.4), less likely to screen positive for relapse risk (OR=.3; 95% CI=.2-.6), and less likely to have smoked (OR=.2; 95% CI=.09-.4). These results indicate that frequent IVR monitoring during the immediate postquit period may have a positive effect on relapse risk.en_US
dc.identifier.citationAnna M. McDaniel, Ph.D., R.N., FAAN, Beatriz H. Carlini, Ph.D., M.P.H., Renée M. Stratton, M.S., CCRP, Barbara Cerutti, B.A., Patrick O. Monahan, Ph.D., Timothy E. Stump, M.S., Ross M. Kauffman, Ph.D., M.P.H., and Susan M. Zbikowski, Ph.D. (2011, April 8). Automated Telephone Monitoring for Relapse Risk among Recent Quitters Enrolled in Quitline Services. Poster session presented at IUPUI Research Day 2016, Indianapolis, Indiana.en_US
dc.identifier.urihttps://hdl.handle.net/1805/10934
dc.language.isoen_USen_US
dc.publisherOffice of the Vice Chancellor for Researchen_US
dc.subjectAutomated Telephone Monitoringen_US
dc.subjectRelapse Risken_US
dc.subjectRecent Quittersen_US
dc.subjectQuitline Servicesen_US
dc.subjectinteractive voice response (IVR) technologyen_US
dc.subjectprevent smoking relapseen_US
dc.subjectabstinenceen_US
dc.titleAutomated Telephone Monitoring for Relapse Risk among Recent Quitters Enrolled in Quitline Servicesen_US
dc.typePosteren_US
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