Aims: The purpose of this study was to investigate the status of self-management behaviour and illness perceptions and to examine illness perceptions in relation to self-management behaviour in elderly patients with chronic obstructive pulmonary disease (COPD).

Methods: A cross-sectional study was conducted, and 152 elderly COPD patients were recruited via the convenience sampling method. The COPD Self-Management Scale and the Revised Illness Perception Questionnaire for COPD patients were used to examine self-management behaviour and illness perceptions. Pearson correlation analysis, univariate analysis and hierarchical linear regression analysis were used to explore illness perceptions in relation to self-management behaviour.

Results: The mean overall score for self-management behaviour was 2.90 ± 0.39. Among the subscales of self-management behaviour, information management had the lowest score of 2.20 ± 0.76. Patients' demographic and clinical characteristics, including educational level, smoking status, type of primary caregiver, home oxygen therapy and COPD duration, were found to be significant determinants of self-management behaviour. After controlling for these variables, several illness perception subscales, including treatment control, personal control, coherence, timeline cyclical and identity, were significantly correlated with self-management behaviour.

Conclusions: This study confirmed that elderly COPD patients' self-management behaviour was unsatisfactory and that illness perceptions were significant determinants of self-management behaviour. The findings may contribute to the development of self-management interventions for elderly COPD patients.

Download full-text PDF

Source
http://dx.doi.org/10.1111/ijn.13264DOI Listing

Publication Analysis

Top Keywords

self-management behaviour
36
illness perceptions
24
self-management
13
perceptions relation
12
relation self-management
12
elderly copd
12
copd patients
12
behaviour
9
illness
8
behaviour elderly
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!