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In-hospital smoking cessation programs: who responds, who doesn't?
P M Smith1, H C Kraemer, N H Miller
1Department of Psychiatry, Stanford University School of Medicine, USA. pmsmith@healthy.uwaterloo.ca
This study identified six subgroups of hospitalized smokers based on their intervention response. Tailoring treatments to these subgroups, considering factors like confidence and mood, can improve smoking cessation success.
Area of Science:
- Clinical Medicine
- Psychology
- Public Health
Background:
- Smoking cessation interventions are crucial for hospitalized patients.
- Previous research established the efficacy of a multicomponent in-hospital intervention.
- Understanding patient subgroups can optimize cessation strategies.
Purpose of the Study:
- To identify and characterize subgroups of hospitalized smokers based on their response to a multicomponent cessation intervention.
- To explore factors influencing varying degrees of intervention responsiveness.
Main Methods:
- Utilized signal detection analysis on data from a large randomized clinical trial.
- Examined patient subgroups based on baseline confidence, age, mood, addiction, and alcohol intake.
Main Results:
- Identified six distinct subgroups with varying intervention responsiveness.
- The most responsive subgroup had 100% baseline confidence to quit.
- Five additional subgroups were identified based on interactions between confidence and other biopsychosocial factors.
Conclusions:
- Personalized smoking cessation treatment for hospitalized patients can be improved by identifying specific subgroups.
- Biopsychosocial factors play a significant role in predicting successful long-term smoking cessation.
- Further research into these underlying processes can refine clinical decision-making for diverse smoker populations.
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