E-Health: The impact of social network on self care behavior in heart failure patients toward COVID-19 epidemic

Latifi, Masoomeh; Tafti, Motahare Anvari; Dolatabadi, Nasrin Davari; Rafiei, Zahra; Farsani, Leili Allahbakhshian

E-Health: The impact of social network on self care behavior in heart failure patients toward COVID-19 epidemic

Authors

¹ PhD in Information Sciences and Knowledge Studies, Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran

² Department of Emergency Medicine, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

³ Associate Professor of Health Information Management, Department of Health Information Technology, School of Allied Medical Sciences, Hormozgan University of Medical Sciences, Bandar Abbas, Iran

⁴ Department of Critical Care Nursing, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran

⁵ PhD in Knowledge and Information Sciences, Vice Chancellor for Research and Technology, Isfahan University of Medical Sciences, Isfahan, Iran

Abstract

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.

Keywords

References

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Advanced Biomedical Research