E-Health: The Impact of Social Network on Self Care Behavior in Heart Failure Patients toward COVID-19 Epidemic
| Autor: | Motahare Anvari Tafti, Nasrin Davari Dolatabadi, Leili Allahbakhshian Farsani, Zahra Rafiei, Masoomeh Latifi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Persistence (psychology)
Multivariate statistics QH301-705.5 heart failure Disease patients Shahid symbols.namesake self care medicine Biology (General) Data collection Social network business.industry General Medicine medicine.disease Pearson product-moment correlation coefficient covid-19 Heart failure symbols Medicine Original Article social network business Psychology Clinical psychology |
| Zdroj: | Advanced Biomedical Research, Vol 10, Iss 1, Pp 15-15 (2021) Advanced Biomedical Research |
| ISSN: | 2277-9175 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|