BACKGROUND: A hospital admission for a serious cardiac event offers a unique opportunity for smoking cessation. Understanding the factors that predict and enhance cessation among smoking cardiac inpatients is important for hospital physicians and clinical staff. STUDY OBJECTIVE: To determine factors that predict smoking cessation, relapse, or continued smoking among posthospitalized cardiac patients who were smoking at the time of admission. SAMPLE: Patients hospitalized with acute coronary syndrome (ACS) were recruited from 5 hospitals in Michigan to participate in a study assessing hospital quality improvement plus at-home health behavior change counseling. MEASUREMENTS: Patient interview data were collected shortly after discharge and 3 and 8 months later to describe patient demographics, clinical characteristics, tobacco use, and other behaviors. Multinomial logit regression was used to predict smoking cessation, relapse, and continued smoking. RESULTS: Of patients smoking at hospitalization who completed both follow-up interviews, 56.8% (n = 111) were not smoking at 8 months. A significant predictor of successful cessation was higher household income (odds ratio [OR] = 4.72; P = 0.003), while having other smokers in the household decreased the odds of cessation (OR = 0.20; P = 0.001). History of depression increased the odds of relapse (OR = 6.38; P = 0.002) and being a lighter smoker decreased the odds (OR = 0.16; P = 0.026). CONCLUSIONS: Although approximately one-half of the smokers in this study reported successful cessation, interventions are still needed to assist all smokers to successfully quit smoking after an ACS hospitalization. Our data suggest targeting follow-up programs to include other family members and using specialized methods for heavy smokers. (c) 2009 Society of Hospital Medicine.
BACKGROUND: A hospital admission for a serious cardiac event offers a unique opportunity for smoking cessation. Understanding the factors that predict and enhance cessation among smoking cardiac inpatients is important for hospital physicians and clinical staff. STUDY OBJECTIVE: To determine factors that predict smoking cessation, relapse, or continued smoking among posthospitalized cardiac patients who were smoking at the time of admission. SAMPLE: Patients hospitalized with acute coronary syndrome (ACS) were recruited from 5 hospitals in Michigan to participate in a study assessing hospital quality improvement plus at-home health behavior change counseling. MEASUREMENTS: Patient interview data were collected shortly after discharge and 3 and 8 months later to describe patient demographics, clinical characteristics, tobacco use, and other behaviors. Multinomial logit regression was used to predict smoking cessation, relapse, and continued smoking. RESULTS: Of patients smoking at hospitalization who completed both follow-up interviews, 56.8% (n = 111) were not smoking at 8 months. A significant predictor of successful cessation was higher household income (odds ratio [OR] = 4.72; P = 0.003), while having other smokers in the household decreased the odds of cessation (OR = 0.20; P = 0.001). History of depression increased the odds of relapse (OR = 6.38; P = 0.002) and being a lighter smoker decreased the odds (OR = 0.16; P = 0.026). CONCLUSIONS: Although approximately one-half of the smokers in this study reported successful cessation, interventions are still needed to assist all smokers to successfully quit smoking after an ACS hospitalization. Our data suggest targeting follow-up programs to include other family members and using specialized methods for heavy smokers. (c) 2009 Society of Hospital Medicine.
Authors: David A Katz; Donna M Buchanan; Mark W Vander Weg; Babalola Faseru; Philip A Horwitz; Philip G Jones; John A Spertus Journal: Prev Med Date: 2018-10-11 Impact factor: 4.018
Authors: Joanna M Streck; Yuchiao Chang; Hilary A Tindle; Susan Regan; Elyse R Park; Douglas E Levy; Daniel E Singer; Thomas Ylioja; Nancy A Rigotti Journal: J Hosp Med Date: 2018-08-29 Impact factor: 2.960
Authors: Karyn A Tappe; Edwin D Boudreaux; Beth Bock; Erin O'Hea; Brigitte M Baumann; Steven M Hollenberg; Bruce Becker; Gretchen B Chapman Journal: Emerg Med Int Date: 2012-09-10 Impact factor: 1.112