COPD subjects may have specific patterns of symptom clusters. The symptom clusters are related with clinical characteristics and had a negative impact on QOL. To enhance symptom management and QOL, approaches and interventions based on symptom clusters, rather than independent intervention for each symptom, may be more effective. Understanding COPD symptom clusters may help successful symptom management, which can improve QOL for COPD patients.
Aim:To develop and test a predictive model of self-management based on the theory of the information-motivation-behavioural skills model and previous literature on self-management for patients with chronic obstructive pulmonary disease (COPD).Design: A descriptive, correlational, cross-sectional design was used.Methods: A convenience sample recruited 248 patients with COPD from the pulmonary medicine clinic in South Korea between July 2020 and June 2021. We used self-administrated, structured questionnaires for dyspnoea, health status, knowledge, attitude, social support, self-efficacy and self-management. Data were analysed using path analysis to test a self-management model for patients with COPD.Results: Gender, COPD self-management knowledge, social support and COPD selfefficacy had a direct effect on COPD self-management. Dyspnoea, Global Initiative for Chronic Obstructive Lung Disease stage, health status, COPD self-management attitude and social support had an indirect effect on self-management in patients with COPD. These variables explained 43.2% of the total variance for self-management in patients with COPD.Conclusions: When assessing self-management of COPD; demographic and clinical factors, knowledge, attitudes, social support and self-efficacy included in the information-motivation-behavioural skills model should be considered together.
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