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E-Health: The Impact of Social Network on Self Care Behavior in Heart Failure Patients Toward Covid-19 Epidemic Publisher



Latifi M1 ; Tafti MA2 ; Dolatabadi ND3 ; Rafiei Z4 ; Farsani LA5
Authors
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Authors Affiliations
  1. 1. Information Sciences and Knowledge Studies, Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
  2. 2. Department of Emergency Medicine, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
  3. 3. Department of Health Information Technology, School of Allied Medical Sciences, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
  4. 4. Department of Critical Care Nursing, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran
  5. 5. Research and Technology, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Advanced Biomedical Research Published:2021


Abstract

Background: Patients with heart failure are one of the high-risk groups for coronary artery. Distanc education of self-care behaviors can be effective in preventing the disease. The aim of this study wa 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 Tehra by the available sampling method (May to July 2020). Data collection tools were the standar European Self-Care Behavior Questionnaire for heart failure and the Dorty Elizabeth Orem self-car model. Data were analyzed using SPSS Version 22. Results: The results of the Pearson correlatio coefficient showed a positive and relatively strong linear relationship between the variable of th degree of persistence in the use of networks with the eight dimensions of self-care behavior excep psychological emotion control (r = -0.39, P = 0.315). Furthermore, a significant weak invers 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 us of networks. Multivariate regression analysis revealed that the type of activity and participatio 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, th use of these networks is recommended as a community-based approach in the health system and t improve health and health outcomes. © 2021 Advanced Biomedical Research.
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