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E-Health: The Impact of Social Network on Self Care Behavior in Heart Failure Patients toward COVID-19 Epidemic

BACKGROUND: Patients with heart failure are one of the high-risk groups for coronary artery. Distance education of self-care behaviors can be effective in preventing the disease. The aim of this study was to investigate the effect of social networks in explaining the awareness of cardiovascular pati...

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Detalles Bibliográficos
Autores principales: Latifi, Masoomeh, Anvari Tafti, Motahare, Davari Dolatabadi, Nasrin, Rafiei, Zahra, Allahbakhshian Farsani, Leili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378447/
https://www.ncbi.nlm.nih.gov/pubmed/34476223
http://dx.doi.org/10.4103/abr.abr_195_20
Descripción
Sumario:BACKGROUND: Patients with heart failure are one of the high-risk groups for coronary artery. Distance education of self-care behaviors can be effective in preventing the disease. The aim of this study was to investigate the effect of social networks in explaining the awareness of cardiovascular patients' self-care behaviors toward COVID-19. MATERIALS AND METHODS: In the present survey study, 227 patients with a history of heart failure were selected from Shahid Rajaei Hospital in Tehran by the available sampling method (May to July 2020). Data collection tools were the standard European Self-Care Behavior Questionnaire for heart failure and the Dorty Elizabeth Orem self-care model. Data were analyzed using SPSS Version 22. RESULTS: The results of the Pearson correlation coefficient showed a positive and relatively strong linear relationship between the variable of the degree of persistence in the use of networks with the eight dimensions of self-care behavior except psychological emotion control (r = −0.39, P = 0.315). Furthermore, a significant weak inverse relationship between the dimension of “cooperation with physicians and treatment staff” (r = −0.22, P = 0.129). Moreover, psychological support (r = −0/034, P = 0.446) was observed with the use of networks. Multivariate regression analysis revealed that the type of activity and participation in networks has a greater share and effect in increasing the score of self-care behavior of 0.55. CONCLUSIONS: Since the use of networks has a positive effect on patients' self-care behavior, the use of these networks is recommended as a community-based approach in the health system and to improve health and health outcomes.