چکیده مقاله
Objective: The aim of this study was to identify the impact and relationship of virtual social networks on users' self care about COVID 19 and to achieve a structural equation model Methods: The present research of descriptive analytical was conducted in the summer of 2020, the measuring instrument was an online questionnaire extracted from Dorthea E Orem’s self care model The study sample included 662 social network users WhatsApp, Instagram and Telegram in Hormozgan province who were selected by convenience sampling Modeling was carried out using SPSS, Amos software Results: The results research not only indicate a significant and direct relationship between the independent variables of presence and interaction in the social networks and user orientation to the type of social network with the dependent variable self care p< 0 0009 , but also, 45% of changes in self care variable is covered by a set of social networking indices Structural equation modelling SEM in the self care variable also showed that Presence and interaction in the social networks and user orientation to the type of social network have the highest and lowest effects on the psychological support dimension with a standard coefficient of 0 99 and the dimension of awareness and attention to COVID 19 effects and outcomes with a standard coefficient of 0 95, respectively Conclusion: According to the results, health officials and disease control and prevention centers can use the potential of social networks in self care for users
کلیدواژهها
نویسندگان
شیوه ارجاع
Latifi, Masoomeh and Davari Dolatabadi, Nasrin and Shahi, Mehraban and Alishan Karami, Nader,1400,E-Health: The effect of Virtual Social Networks on self-care of users concerning Covid-19,Seventh International Conference on Health, Treatment and Health Promotion
ارائهشده در
مجموعه مقالات هفتمین کنفرانس بین المللی بهداشت،درمان و ارتقای سلامت30 مهر 1400