Treatise
Latent profile analysis of self-care behavior in patients with chronic heart failure
Dong Xinyue, Lin Ying, Chu Xiaoyan, Shen Zhiyun, Chen Xiao, Zhang Xian, Zhu Yike, Lu Zhenning, Zhang Yuxia
Published 2024-10-21
Cite as Chin J Prac Nurs, 2024, 40(30): 2321-2329. DOI: 10.3760/cma.j.cn211501-20240207-00331
Abstract
ObjectiveTo explore the characteristics and typology of self-care behavior among patients with chronic heart failure (CHF), and analyze their influencing factors.
MethodsA cross-sectional study was used. A total of 318 patients with CHF who were hospitalized in the Heart Center of Zhongshan Hospital, Fudan University from November 2022 to July 2023 were selected by continuous enrollment method. The General Information Questionnaire, Heart Failure Self-care Index Scale, Brief Illness Perception Questionnaire, Self-efficacy for Managing Chronic Disease 6-item Scale, Perceived Social Support Scale, Atlanta Heart Failure Knowledge Test-V2 and Self-Care Confidence Scale were used to investigate. Latent profile analysis was utilized to delineate the characteristics and subtypes of self-care behaviors in CHF patients and examine the influencing factors.
ResultsA total of 291 patients were included in this study, including 190 males and 101 females, aged 67 (61, 74) years old. The analysis identified three latent categories of self-care behaviors among CHF patients: 26 cases in high self-care group, 131 cases in moderate self-care with deficiencies in maintenance and symptom perception group, and 134 cases in low self-care group.Ordered multicategorical Logistic regression analysis revealed that age (OR=1.023, 95%CI 1.001-1.046, P<0.05), self-care confidence (OR=0.859, 95%CI 0.817-0.904, P<0.01), and social support (OR=0.966, 95% CI 0.940-0.993, P<0.05) were the factors influencing the potential categories of self-care behavior in CHF patients.
ConclusionsThe study identifies distinct categorical characteristics of self-care behaviors in patients with CHF. Healthcare professionals can leverage these findings to identify the self-care behavior characteristics and influencing factors for each patient category at an early stage, thereby providing personalized and precise support strategies to help patients enhance self-care behaviors.
Key words:
Heart failure; Self-care; Self-management; Latent profile; Heterogeneity; Typology
Contributor Information
Dong Xinyue
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
School of Nursing, Fudan University, Shanghai 200032, China
Lin Ying
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
Chu Xiaoyan
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
Shen Zhiyun
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
School of Nursing, Fudan University, Shanghai 200032, China
Chen Xiao
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
School of Nursing, Fudan University, Shanghai 200032, China
Zhang Xian
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
Zhu Yike
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
Lu Zhenning
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
Zhang Yuxia
Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
