Illness Representation and Self-Efficacy: An Exploration of Fatigue Factors in Middle-Aged Stroke Survivors.
Su-Ju TsaiChia-Chi LiShu-Mei TsaiShu-Chuan KaoHsiao-Mei ChenHsiang-Chu PaiPublished in: Clinical nursing research (2021)
The purpose of this study is twofold: to examine the relationship between illness representation and self-efficacy and to test the determinants and the effect of self-efficacy, resilience, and stroke impact on fatigue in middle-aged stroke survivors. This study used a cross-sectional and quantitative approach. The instruments included the Chronic Disease Self-Efficacy Scale, Stroke Impact Scale, Resilience Scale, and Fatigue Impact Scale. Structural equation modeling (SEM) was performed to analyze the data. A total of 63 patients with stroke (39 male and 24 female) were recruited form a medical university hospital. The results showed that patients' illness representation had a significantly effect on self-efficacy for managing disease. In addition, SEM analysis demonstrated that self-efficacy, resilience and stroke impact influenced fatigue, explaining 20.6% of the variance in fatigue. It was concluded that to improve patient fatigue, we believe it is imperative to design interventions that improve patients' self-efficacy, promote patients' resilience, and better function.
Keyphrases
- end stage renal disease
- atrial fibrillation
- ejection fraction
- chronic kidney disease
- middle aged
- newly diagnosed
- peritoneal dialysis
- climate change
- prognostic factors
- sleep quality
- young adults
- healthcare
- patient reported outcomes
- social support
- mass spectrometry
- artificial intelligence
- subarachnoid hemorrhage
- neural network