Factors affecting self-care behavior in Koreans with COPD

摘要

Abstract Background Despite the importance of self-care in people with COPD, little is known about the effect of symptoms and symptom clusters on self-care behavior in people with exacerbated COPD. This study was designed to describe their level of self-care and to examine factors associated with self-care behavior, including symptoms and symptom clusters. Methods For this cross-sectional descriptive study, the researcher recruited Koreans with exacerbated COPD ( N =71) from three tertiary care hospitals. Self-care behavior was measured with Alberto Chronic Obstructive Pulmonary Disease Self-care Behavior Inventory. Descriptive and inferential statistics were used to analyze the data from structured interviews, questionnaires, and clinical measures. Results Mean score of self-care behavior was 119.30. Level of education, comorbidities, emergency department visits during past year, general health perception, and education about exacerbation and symptom management explained 43.9% of total variance in self-care behavior. When individual symptoms were added to the regression model, anxiety accounted for the largest change in total variance in self-care behavior. When a symptom cluster group variable was added to the regression model, change in total variance in self-care behavior was significantly greater than change in variance from individual symptoms. Conclusion Study results indicate that nurses should assess level of self-care in people with COPD and provide them with appropriate education to improve their self-care behavior. Further, it will remind nurses to heed symptom levels and other variables that affect self-care behavior. COPD patients with a lower level of multiple symptoms should be targeted for intervention to improve self-care. Highlights ? The level of self-care behavior in Koreans with exacerbated COPD was poor. ? Previous education on disease management was significantly associated with self-care behavior in Koreans with COPD. ? Symptom clusters have proved to be more significant predictors of self-care than single symptoms.