Study on the Effect of Smoking Cessation in COPD Patients After Shared Decision Making Intervention

According to the World Health Organization (WHO), in 2016, 251 million people worldwide suffered from Chronic Obstructive Pulmonary Disease (COPD), accounting for 5% of the total number of global deaths, with an average of every 101 person dies from obstructive pulmonary disease in second. In 2020, the Taiwan Ministry of Health and Welfare's death cause statistics ranked COPD the eighth among the top ten causes of death in Taiwan, with 5,657 deaths. Among the main causes of death for people over 65 years old, it was found that COPD increases the risk with age. Since 2018, my country has It has entered an aging society since 2000, and the cause of death from chronic lower respiratory diseases aged 75-84 and over 85 has risen to the sixth and seventh respectively. The purpose of this study is to explore the effect of shared decision-making services to the patients with COPD, and to understand the demographic variables, smoking-related variables, disease severity, and psychological dependence. The main purpose is to explore the association between the demographic variables of patients with COPD, smoking-related variables, disease severity variables including the severity of expiratory airflow obstruction, and the severity of the patient's current symptoms, and further analyze the differences of smoking cessation behavior and smoking psychological dependence index after giving smoking cessation Shared Decision Making. The study involved a 3-months, single session intervention in a two-armed, randomized controlled trial, approved by the Institutional Review Board (IRB) of Cathay General Hospital (Taipei, Taiwan). Two groups of subjects participated: one with a Shared Decision Making smoking cessation intervention, and the other with usual care only. A Chi-square test or t-test was employed to assess differences in sociodemographic variables, baseline physiological and biochemical detection and smoking behaviors. The paired t-test was used to assess the smoking cessation behavior, and examine variables related to smoking behavior with Pearson correlation. Finally, the linear regression was used to detected the association of smoking behavior with disease severity and smoking psychological dependence after adjusting for demographic variables. All tests were analyzed at a 95% significance level (p\<0.05). Intention-to-treat analysis was not used since the ethical policy stated that non-compliers who refused to continue to participate had to be excluded from the analysis. Analyses were conducted using PASW 22.0 software for windows (SPSS, Chicago, IL, USA).