Predictive influence of disease knowledge and hope on self-care behavior among adults with heart failure

Author:

Mehri Zahra1,Kheiry Fatemeh1,Rakhshan Mahnaz2

Affiliation:

1. Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran

2. Department of Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Background: Self-care, disease knowledge, and hope are critical concepts in health-related studies. Therefore, all three are considered solutions for controlling heart failure (HF) and reducing its complications. This study aimed to identify the predictive influence of disease knowledge and hope on self-care behavior among adults with HF. Materials and Methods: This descriptive-analytical and cross-sectional study examined the data of 113 HF patients referred to the Imam Reza Clinic in Shiraz, Iran, in 2021. This study used HF patients’ self-care instruments based on Orem’s self-care theory, the HF Knowledge Scale-Persian version, and the Heart Hope Index-Persian version. The data were analyzed using the general linear model (GLM) and Pearson’s correlation coefficients. Results: Of the 113 HF patients, 54.90% (n = 62) were male, and 45.10% (n = 51) were female. The analysis of the Pearson correlation coefficient indicated the presence of a positive and significant correlation between “self-care and hope” (r = 0.532, P = 0.0001), “HF knowledge and hope” (r = 0.432, P = 0.0001), and “self-care and HF knowledge” (r = 0.410, P = 0.0001). GLM showed that HF knowledge symptoms (P = 0.0001), hope (P = 0.0001), unemployed patients (P = 0.042), and housewife patients (P = 0.0001) predicted self-care behavior of HF patients. Conclusion: Considering the positive and significant correlation between “self-care and HF knowledge,” “self-care and hope,” and “HF knowledge and hope,” it seems necessary for doctors and nurses should pay attention to providing educational programs to increase HF knowledge to improve self-care and hope in HF patients.

Publisher

Medknow

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