Status quo and factors influencing dyadic disease appraisal in chronic heart failure based on latent profile analysis in Northern Sichuan Province, China

Abstract

Abstract Purpose This study explored potential categories of dyadic disease appraisal differences among patients hospitalized with chronic heart failure (CHF) in China and analyzed the main factors influencing these categories. Methods A survey was conducted using various tools and scales, including the Chinese version of the Memorial Heart Failure Symptom Appraisal Scale, Heart failure self-care index scale, Social Support Rating Scale, Zarit burden interview, and Self-rating anxiety scale. The data was collected from patients who were hospitalized with CHF in the cardiology department of one of two tertiary hospitals in Nanchong City, China. The dyadic disease appraisal categories were identified using latent profile analysis (LPA). Multiple logistic regression analysis was also employed to analyze the factors influencing the formation of potential categories of differences in dyadic disease appraisal in CHF patients. Results A total of 262 pairs of hospitalized CHF patients and their caregivers participated in this study. The dyadic disease appraisal of CHF patients was potentially categorized as the "negative difference group" (28 individuals, 10.7%) and the "positive or convergence group" (234 persons, 89.3%). The results showed that the factors influencing the categorization of dyadic disease appraisal differences included the patient's social support, disease progression, and Caregivers anxiety level, burden, gender, educational attainment, and age (p < 0.05). Conclusion The study findings demonstrated heterogeneity between the two groups of CHF patients in the dyadic disease appraisal. Therefore, it is necessary to focus on patients who have a brief duration of illness and limited social support. Specifically, it is important to prioritize support for female caregivers who are 65 years or older, have lower levels of educational attainment, and experience a significant burden and anxiety. Regular implementation of support person-bilateral co-management strategies can effectively reduce differences in how the disease is perceived and enhance the overall well-being of both caregivers and patients.

Keywords

• Chronic heart failure (CHF)
• Dyadic disease appraisal
• Latent profile analysis (LPA)
• Influencing factors