1. Self-management practices of smokers with asthma and/or chronic obstructive pulmonary disease: a cross-sectional survey
- Author
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Krysten Winn, Claire Hayes-Watson, Tung-Sung Tseng, Qingzhao Yu, Nereida A. Parada, Sarah Moody-Thomas, Henry Nuss, Danelle Guillory, and Michael D. Celestin
- Subjects
Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,COPD ,Self-management ,Heart disease ,Cross-sectional study ,business.industry ,Public Health, Environmental and Occupational Health ,Psychological intervention ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Family medicine ,Diabetes mellitus ,medicine ,Chi-square test ,Physical therapy ,030212 general & internal medicine ,business ,Asthma - Abstract
Background Adherence to self-management recommendations is critical for patients with chronic disease. Compared to nonsmokers, smokers with conditions such as diabetes, HIV, and heart disease are less likely to adhere to provider recommendations. Regarding lung disease, asthma and COPD can be caused and/or exacerbated by smoking, however little is known on the relationship between adherence and smoking status in these patients. The purpose of this study was to characterize the relationship between smoking status and adherence to multiple measures of self-care- including medication taking, medication filling, appointment keeping, yearly vaccinations, carrying medical supplies, and healthcare utilization- in patients with asthma and/or COPD. In addition to smoking status, we also included an examination of these measures by race/ethnicity, gender, and diagnosis. Methods This study employed a cross-sectional design on a convenience sample of n = 84 patients (40–64 years old) with a diagnosis of asthma and/or COPD. The study was conducted between November 2015 and February 2016 in the waiting rooms of the outpatient pulmonary clinics at the University Medical Center of New Orleans. Patients completed surveys while awaiting their clinic appointments. Smoking status, gender, race, and diagnosis were explored as predictors of adherence using descriptive statistics, chi square, and regression analyses. Results Compared to nonsmokers, smokers were less adherent to medication filling (p
- Published
- 2017
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