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Postdischarge smoking cessation in subgroups of hospitalized smokers: A latent class analysis.

ABSTRACT: BACKGROUND:Hospitalization presents a window of opportunity to treat smoking, and hospital-initiated smoking treatment has demonstrated effectiveness. Despite effective interventions, not all smokers will discontinue use, highlighting the need to better understand which patients achieve cessation. Traditional regression methods may not capture the complexity of inpatient smoker subgroups. METHODS:Latent class analysis (LCA) was conducted with data from 397 hospitalized adult cigarette smokers enrolled in a randomized trial. Six categorical indicator variables known to impact cessation were selected to estimate subgroups: health conditions (smoking-related disease [SRD], depressive symptoms, positive screen for alcohol problems) and smoking-related variables (time to first cigarette, cigarettes/day, smoking indoors). The probability of achieving biologically verified 7-day tobacco cessation 6 months after discharged was estimated. RESULTS:A 3-class model best fit the trial data: a Light Smokers subgroup had lower probability for most indicators; a High Health Burden subgroup had high smoking behavior probabilities and similar health problems to the Light Smokers subgroup; and a Heavy Smoking Drinking Depressed subgroup had high nicotine dependence, depressive symptoms, and alcohol misuse probabilities. Probability of biologically verified cessation conditional on class membership was significantly higher (P < .001) for the High Health Burden and the Light Smokers subgroups compared with the Heavy Smoking Drinking Depressed subgroup. CONCLUSION:Results suggest that subgroups with lower probabilities of alcohol misuse and depression and higher probability of SRD had higher probability of successful cessation after hospital discharge. Hospitalized patients with nicotine dependence combined with behavioral and mental health problems have additional cessation barriers that may require intervention focus.

SUBMITTER: Ylioja T

PROVIDER: S-EPMC6168063 | biostudies-literature | 2017 Oct-Dec

REPOSITORIES: biostudies-literature

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Postdischarge smoking cessation in subgroups of hospitalized smokers: A latent class analysis.

Ylioja Thomas T Cochran Gerald G Chang Yuchiao Y Tindle Hilary A HA Rigotti Nancy A NA

Substance abuse 20170720 4

<h4>Background</h4>Hospitalization presents a window of opportunity to treat smoking, and hospital-initiated smoking treatment has demonstrated effectiveness. Despite effective interventions, not all smokers will discontinue use, highlighting the need to better understand which patients achieve cessation. Traditional regression methods may not capture the complexity of inpatient smoker subgroups.<h4>Methods</h4>Latent class analysis (LCA) was conducted with data from 397 hospitalized adult cigar ...[more]

PMID: 28727541

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Project description:ImportanceHealth 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.ObjectiveTo determine whether an intervention to sustain tobacco treatment after hospital discharge increases smoking cessation rates compared with standard care.Design, setting, and participantsA 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.InterventionsSustained 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.Main outcomes and measuresThe 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.ResultsSmokers 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).Conclusions and relevanceAmong 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.Trial registrationclinicaltrials.gov Identifier: NCT01177176.

Project description:IntroductionNegative affect has been identified as a factor influencing continued smoking during pregnancy. In this study, a multi-component emotion regulation intervention was developed to address negative emotional smoking triggers and pilot-tested among low-income pregnant smokers. Treatment feasibility and acceptability, cotinine-verified rates of smoking cessation, and self-report of mean cigarettes smoked were assessed.MethodsPregnant smokers who self-reported smoking in response to negative affect (N = 70) were randomly assigned to receive one of two 8-session interventions: (1) emotion regulation treatment combined with standard cognitive-behavioral smoking cessation (ERT + CBT) or (2) a health and lifestyle plus standard smoking cessation active control (HLS + CBT). Outcomes for the 4-month period following the quit date are reported.ResultsTreatment attendance and subjective ratings provide evidence for the feasibility and acceptability of the ERT + CBT intervention. Compared with the HLS + CBT control condition, the ERT + CBT condition demonstrated higher abstinence rates at 2 months (ERT + CBT = 23% vs. HLS + CBT = 0%, OR = 13.51; 95% CI = 0.70-261.59) and 4 months (ERT = 18% vs. HLS = 5%; OR = 2.98; 95% CI = 0.39-22.72) post-quit. Mean number of cigarettes per day was significantly lower in ERT + CBT at 2 months (ERT + CBT = 2.73 (3.35) vs. HLS + CBT = 5.84 (6.24); p = .05) but not at 4 months (ERT + CBT = 2.15 (3.17) vs. HLS + CBT = 5.18 (2.88); p = .06) post-quit.ConclusionsThe development and initial test of the ERT + CBT intervention supports its feasibility and acceptability in this difficult-to-treat population. Further development and testing in a Stage II randomized clinical trial are warranted.ImplicationsNegative affect has been identified as a motivator for continued smoking during pregnancy. To date, smoking cessation interventions for pregnant smokers have not specifically addressed the role of negative affect as a smoking trigger. This treatment development pilot study provides support for the feasibility and acceptability of a multi-component ERT + CBT for low-income pregnant smokers who self-report smoking in response to negative affect. Study findings support further testing in a fully-powered Stage II efficacy trial powered to assess mediators and moderators of treatment effects.

Project description:Background: Current evidence suggests that the information needs of people with diabetes mellitus differ across patient groups. With a view to being able to provide individualized information, this study aims to identify (i) the diabetes-related information needs of people with diabetes mellitus; (ii) different subgroups of people with specific information needs; and (iii) associated characteristics of the identified subgroups, such as sociodemographic characteristics, diabetes-related comorbidities, and well-being.Methods: This cross-sectional study was based on data from 837 respondents with diabetes mellitus who participated in the population-based KORA (Cooperative Health Research in the Augsburg Region) Health Survey 2016 in Southern Germany (KORA GEFU 4 study) (45.6% female, mean age 71.1?years, 92.8% Type 2 diabetes). Diabetes-related information needs were assessed with a questionnaire asking about patients' information needs concerning 11 diabetes-related topics, e.g. 'long-term complications' and 'treatment/therapy'. Subgroups of people with different information needs and associated characteristics were identified using latent class analysis.Results: We identified the following four classes of people with different information needs: 'high needs on all topics', 'low needs on all topics', 'moderate needs with a focus on complications and diabetes in everyday life', and 'advanced needs with a focus on social and legal aspects and diabetes research'. The classes differed significantly in age, years of education, type of diabetes, diabetes duration, diabetes-related comorbidities, smoking behaviour, diabetes education, current level of information, and time preference.Conclusions: Knowledge about different patient subgroups can be useful for tailored information campaigns or physician-patient interactions. Further research is needed to analyse health care needs in these groups, changes in information needs over the course of the disease, and prospective health outcomes.

Dataset Information

Postdischarge smoking cessation in subgroups of hospitalized smokers: A latent class analysis.

Publications

Postdischarge smoking cessation in subgroups of hospitalized smokers: A latent class analysis.

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