Pragmatic randomized clinical trial, single-blind, with allocation 2:1 \[Intervention Group (IG) and control group (CG)\] in 5 acute hospitals. The IG will receive telephone assistance to quit smoking (including psychological and psycho-educational support and pharmacological treatment advice, if required) proactively for 12 months, and the CG only brief counselling after discharge. To assess the effectiveness of a multicomponent and motivational intensive telephone-based intervention to stop smoking ("quit line") addressed to smokers with mental disorders discharged from hospitals.
Background: People suffering from mental illness are more likely to smoke. In Spain, up to 75% of patients hospitalized for mental disorders smoke, tripling the general population consumption. Life expectancy for people with severe mental illnesses is decreased by up to 25 years in comparison to the general population, mainly due to diseases caused or worsened by smoking. Hospitalized patients without monitoring after discharge quickly restore their tobacco use to previous levels. This evidence suggests the need of an appropriate follow-up intervention to prevent relapse after discharge and achieve higher rates of withdrawal in this population. Objectives: To assess the effectiveness of a multicomponent and motivational intensive telephone-based intervention to stop smoking ("quit line") addressed to smokers with mental disorders discharged from hospitals. Methods: Pragmatic randomized clinical trial, single-blind, with allocation 2:1 \[Intervention Group (IG) and control group (CG)\] in 5 acute hospitals. The IG will receive telephone assistance to quit smoking (including psychological and psycho-educational support and pharmacological treatment advice, if required) proactively for 12 months, and the CG only brief counselling after discharge. The sample size, calculated with an expected difference of 15 points on withdrawal between groups, α=0.05 and β=0.10 and 20% loss, will be of 334 (IG) and 176 (CG), which will be doubled to allow stratified analyses. Variables: a) dependent variables: self-reported smoking abstinence and verified by expired carbon monoxide levels, quit attempts, time of abstinence, motivation and self-efficacy to quit, and b) independent variables: age, sex and main disorder. Data analysis: multivariate logistic regression (odds ratio and confidence interval, CI 95%) of abstinence and other variables adjusted for potential confounding variables. Number of smokers needed to treat (NNT, and its 95% CI) to achieve one abstinent will be calculated. Hypothesis: Abstinence rate (≥ 15%) of enrolled patients between groups. If the intervention is effective, the pragmatic nature of the study will permit to transfer it to the routine clinical practice with a reasonable investment.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Enrollment
300
The intervention is based on cognitive-behavioural therapy (CBT). The intervention, in order to achieve behavioural changes, will include components based in Bandura's social learning theory and social cognitive theory (Bandura, 1986) and the transtheorical model of change (Prochaska, 1992). It has been shown that expectations and self-efficacy are behavioural predictors and that they are an effective framework for the assistance to quit smoking. This theory allows evaluating patient motivation phase and adapting the interventions according to each phase (Fiore, 2011)
Brief counselling session
Hospital Bellvitge
L'Hospitalet de Llobregat, Barcelona, Spain
Change from tobacco consumption abstinence at 12 months
Tobacco consumption abstinence (yes/no), self-reported the day of recruitment and 12 months after discharge (7 days abstinence prior to the evaluation point)
Time frame: through study completion, an average of 1 year
Change in the level of self-efficacy to quit smoking
Change of self reported self-efficacy (using a Likert scale from 0 to 10)
Time frame: through study completion, an average of 1 year
Change of motivation to quit smoking (stage of change)
The Stages of Change Model helps to know the patient's motivation to quit, or stage of change, in order to allow clinicians to tailor interventions according to each stage (Prochaska, 1992).
Time frame: through study completion, an average of 1 year
Attempts to quit smoking
Number of serious quit attempts after discharge
Time frame: through study completion, an average of 1 year
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