Rapid relapse to smoking following hospital discharge

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Abstract

Many of nearly 7 million smokers who are hospitalized each year plan to stay quit after they leave the hospital. Most, however, relapse after discharge. This is a secondary analysis of a large Midwestern hospital-based smoking cessation trial that occurred between July 2011 and May 2013 to better understand how quickly smokers relapse and the predictors of rapid relapse. Of 942 participants who completed follow up, 25% returned to smoking within a day after hospital discharge. Among these rapid relapses, 36.6% relapsed within one-hour of leaving the hospital, 35.3% between one and 24 h, and 28.1% relapsed one-day post-discharge. Predictors with the highest odds for rapid relapse (within a day of hospital discharge) included tobacco use during hospitalization (OR, 7.37, [95% CI, 3.85–14.13], P < 0.01); low confidence for quitting (OR, 2.07, [95% CI, 1.49–2.88], P < 0.01); and not setting a quit date (OR, 1.76, [95% CI, 1.25–2.48], P < 0.01). Other significant predictors included higher nicotine dependence, shorter length of stay, and depression. Patients who are vulnerable to rapid relapse may benefit from policies that discourage leaving the hospital to smoke. In addition, hospital interventions that target smokers' confidence in quitting, encourage setting a quit date, and addressing nicotine dependence and depression may also be effective at supporting smoker's intentions to make their pre-admission cigarette their last. Clinical Trials Registration NCT01305928

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Most cited references 13

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Self-efficacy and smoking cessation: a meta-analysis.

Chad J Gwaltney, W Kähler, Saul Shiffman … (2009)

According to relapse models, self-efficacy (SE), or confidence in one's ability to abstain, should predict the outcome of an attempt to quit smoking. We reviewed 54 studies that prospectively examined this relationship. The relationship between SE and future smoking depended upon the population studied and the timing of the SE assessment. The relationship between SE and future smoking was modest when SE was assessed prior to a quit attempt; SE scores were .21 standard deviation units (SD) higher for those not smoking at follow-up than for those who were smoking. The relationship was stronger (.47 SD) when SE was assessed post-quit. However, this effect was diminished when only abstainers at the time of the SE assessment were included in analysis (.28 SD). Controlling for smoking status at the time of SE assessment substantially reduced the relationship between SE and future smoking. Although SE has a reliable association with future abstinence, it is less robust than expected. Many studies may overestimate the relationship by failing to appropriately control for smoking behavior at the time of the SE assessment. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

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Roberto Secades-Villa, Carlos Javier Blanco, Shang-Min Liu … (2013)

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Sustained care intervention and postdischarge smoking cessation among hospitalized adults: a randomized clinical trial.

Nancy A Rigotti, Susan Regan, Douglas E Levy … (2014)

Health care systems need effective models to manage chronic diseases like tobacco dependence across transitions in care. Hospitalizations provide opportunities for smokers to quit, but research suggests that hospital-delivered interventions are effective only if treatment continues after discharge. To determine whether an intervention to sustain tobacco treatment after hospital discharge increases smoking cessation rates compared with standard care. A randomized clinical trial compared sustained care (a postdischarge tobacco cessation intervention) with standard care among 397 hospitalized daily smokers (mean age, 53 years; 48% were males; 81% were non-Hispanic whites) who wanted to quit smoking after discharge and received a tobacco dependence intervention in the hospital; 92% of eligible patients and 44% of screened patients enrolled. The study was conducted from August 2010 through November 2012 at Massachusetts General Hospital. Sustained care participants received automated interactive voice response telephone calls and their choice of free smoking cessation medication (any type approved by the US Food and Drug Administration) for up to 90 days. The automated telephone calls promoted cessation, provided medication management, and triaged smokers for additional counseling. Standard care participants received recommendations for postdischarge pharmacotherapy and counseling. The primary outcome was biochemically confirmed past 7-day tobacco abstinence at 6-month follow-up after discharge from the hospital; secondary outcomes included self-reported tobacco abstinence. Smokers randomly assigned to sustained care (n = 198) used more counseling and more pharmacotherapy at each follow-up assessment than those assigned to standard care (n = 199). Biochemically validated 7-day tobacco abstinence at 6 months was higher with sustained care (26%) than with standard care (15%) (relative risk [RR], 1.71 [95% CI, 1.14-2.56], P = .009; number needed to treat, 9.4 [95% CI, 5.4-35.5]). Using multiple imputation for missing outcomes, the RR for 7-day tobacco abstinence was 1.55 (95% CI, 1.03-2.21; P = .04). Sustained care also resulted in higher self-reported continuous abstinence rates for 6 months after discharge (27% vs 16% for standard care; RR, 1.70 [95% CI, 1.15-2.51]; P = .007). Among hospitalized adult smokers who wanted to quit smoking, a postdischarge intervention providing automated telephone calls and free medication resulted in higher rates of smoking cessation at 6 months compared with a standard recommendation to use counseling and medication after discharge. These findings, if replicated, suggest an approach to help achieve sustained smoking cessation after a hospital stay. clinicaltrials.gov Identifier: NCT01177176.