Volume 10, Issue 2 (2022)                   Health Educ Health Promot 2022, 10(2): 255-263 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Latifi M, Davari Dolatabadi N, Shahi M, Alishan Karami N. E-Health: Self-Care of Social Networks Users Concerning COVID-19. Health Educ Health Promot 2022; 10 (2) :255-263
URL: http://hehp.modares.ac.ir/article-5-56060-en.html
1- Social Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
2- Department of Health Information Technology, School of Allied Medical Sciences, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
Abstract:   (864 Views)
Aims: This research aimed to study the effect of virtual social networks on self-care of the users concerning COVID-19.
Instrument & Methods: This survey research was conducted from April to June 2020. The study sample included social network users (WhatsApp, Instagram and Telegram) in Hormozgan province who were selected by convenience sampling. The measuring instrument was an online questionnaire extracted from Dorthea E. Orem’s self-care model, Gerbner's cultivation theory and Kaplan and Haenlein's media-richness-theory. Modeling was carried out using SPSS 28 and Amos 26 software.
Findings: The results of explanation and modeling in the present 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 of users concerning COVID-19 self-care (p<0.0009), but also, 45% of changes in COVID-19 self-care variable was covered by a set of social networking indices. Structural equation modelling in the self-care variable also showed that independent variables; Presence and interaction in the social networks and user orientation to the type of social network had 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.
Conclusions: As a result, we suggest that health officials and disease control and prevention centers use the potential of social networks such as WhatsApp and Instagram in self-care of users concerning COVID-19.

Full-Text [PDF 1090 kb]   (745 Downloads) |   |   Full-Text (HTML)  (216 Views)  
Article Type: Descriptive & Survey | Subject: Technology of Health Education
Received: 2021/10/3 | Accepted: 2022/01/18 | Published: 2022/06/12
* Corresponding Author Address: Department of Health Information Technology, School of Allied Medical Sciences, Hormozgan University of Medical Sciences, Bandar Abbas, Iran (davarinn@gmail.com)

References
1. Zhao S, Lin Q, Ran J, Musa SS, Yang G, Wang W, et al. Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak. Int J Infect Dis. 2020;92:214-7. [Link] [DOI:10.1016/j.ijid.2020.01.050]
2. Kucharski AJ, Russell TW, Diamond C, Liu Y, Edmunds J, Funk S, et al. Early dynamics of transmission and control of COVID-19: a mathematical modelling study. Lancet Infect Dis. 2020;20(5). [Link] [DOI:10.1016/S1473-3099(20)30144-4]
3. Denyes MJ, Orem DE, Bekel G. Self-care: A foundational science. Nurs Sci Q. 2001;14(1):48-54. [Link] [DOI:10.1177/089431840101400113]
4. World Health Organization. Mental health and psychosocial considerations during the COVID-19 outbreak, 18 March 2020. Geneva: World Health Organization; 2020. [Link]
5. Ji Y, Ma Z, Peppelenbosch MP, Pan Q. Potential association between COVID-19 mortality and health-care resource availability. Lancet Glob Health. 2020;8(4):e480. [Link] [DOI:10.1016/S2214-109X(20)30068-1]
6. Elsevier Connect. Novel Coronavirus Information Center [Internet]. New York: Elsevier; 2020 [Cite 2021 Jan 1]. Available from: https://www.elsevier.com/connect/coronavirus-information-center [Link]
7. Shoaei MD, Dastani M. The role of twitter during the covid-19 crisis: a systematic literature review. Acta Informatica Pragensia. 2020;9(2):154-69. [Link] [DOI:10.18267/j.aip.138]
8. Reddy BV, Gupta A. Importance of effective communication during COVID-19 infodemic. J Fam Med Prim Care. 2020;9(8):3793-96. [Link] [DOI:10.4103/jfmpc.jfmpc_719_20]
9. Niknam F, Samadbeik M, Fatehi F, Shirdel M, Rezazadeh M, Bastani P. COVID-19 on Instagram: A content analysis of selected accounts. Health Policy Technol. 2021;10(1):165-73. [Link] [DOI:10.1016/j.hlpt.2020.10.016]
10. González-Padilla DA, Tortolero-Blanco L. Social media influence in the COVID-19 pandemic. Int Braz J Urol. 2020;46(Suppl 1):120-4. [Link] [DOI:10.1590/s1677-5538.ibju.2020.s121]
11. Lin HC, Chang CM. What motivates health information exchange in social media? The roles of the social cognitive theory and perceived interactivity. Inf Manag 2018;55(6):771-80. [Link] [DOI:10.1016/j.im.2018.03.006]
12. Lau AYS, Gabarron E, Fernandez-Luque L, Armayones M. Social media in health-what are the safety concerns for health consumers?. Health Inf Manag J. 2012;41(2):30-5. [Link] [DOI:10.1177/183335831204100204]
13. Keckley PH, Hoffmann M. Social networks in health care: Communication, collaboration and insights. Deloitte Center for Health Solutions; 2010. [Link]
14. Latifi M, Tehrani HG, Karami NA, Barahmand N, Farsani LA. Using information sources by breast cancer women treated with mastectomy. J Educ Health Promot. 2019;8:68. [Link]
15. Kotsilieris T, Pavlaki A, Christopoulou S, Anagnostopoulos I. The impact of social networks on health care. Soc Netw Anal Min. 2017;7(1):18. [Link] [DOI:10.1007/s13278-017-0438-1]
16. Latifi M, Sedaghat M, Barahmand N, Fahimnia F, Farsani LA. Qualitative study of health information-seeking barriers among mastectomy patients. Asian Pac J Cancer Prev. 2020;21(11):3185-90. [Link] [DOI:10.31557/APJCP.2020.21.11.3185]
17. Omidi Z, Kheirkhah M, Abolghasemi J, Haghighat S. Effect of lymphedema self-management group-based education compared with social network-based education on quality of life and fear of cancer recurrence in women with breast cancer: a randomized controlled clinical trial. Qual Life Res. 2020;29:1789-800. [Link] [DOI:10.1007/s11136-020-02455-z]
18. Ahmadzadeh B. The role of virtual social networks and mobile software in self-care and improving the quality of life in cancer patients; benefits and challenges. Second National Conference on Information Technology and Health Promotion. Tehran: Information Technology and Promotion Association Health; 2019. [Persian] [Link]
19. Niakan S, Mehraeen E, Noori T, Gozali E, editors. Web and mobile based HIV prevention and intervention programs Pros and Cons - a review. Stud Health Technol Inform. 2017;236:319-27. [Link]
20. Muessig KE, Nekkanti M, Bauermeister J, Bull S, Hightow-Weidman LB. A systematic review of recent smartphone, Internet and Web 2.0 interventions to address the HIV continuum of care. Curr HIV/AIDS Rep. 2015;12:173-90. [Link] [DOI:10.1007/s11904-014-0239-3]
21. Zigron S, Bronstein J. "Help is where you find it": The role of weak ties networks as sources of information and support in virtual health communities. J Assoc Inf Sci Technol. 2019;70(2):130-9. [Link] [DOI:10.1002/asi.24106]
22. Zuo Y, Ma Y, Zhang M, Wu X, Ren Z. The impact of sharing physical activity experience on social network sites on residents' social connectedness: a cross-sectional survey during COVID-19 social quarantine. Global Health. 2021;17:10. [Link] [DOI:10.1186/s12992-021-00661-z]
23. Health World Organization. Coronavirus disease 2019 (COVID-19): situation report. Geneva: Health World Organization; 2020. [Link]
24. Ruddock A. Digital media influence: a cultivation approach. SAGE Publications Ltd; 2020. [Link] [DOI:10.4135/9781529700251]
25. Kaplan AM, Haenlein M. Users of the world, unite! the challenges and opportunities of social media. Bus Horiz. 2010;53(1):59-68. [Link] [DOI:10.1016/j.bushor.2009.09.003]
26. Mosharafa E. All you need to know about: the cultivation theory. Glob J Hum Soc Sci Arts Hum Psychol. 2015;15(8):23-38. [Link]
27. Orem DE, Taylor SG. Reflections on Nursing Practice Science: The Nature, the Structure, and the Foundation of Nursing Sciences. Nurs Sci Q. 2001;24(1):35-41. [Link] [DOI:10.1177/0894318410389061]
28. Latifi M, Karami NA, Beiraghdar M, Maraki F, Farsani LA. Impact of health information prescription on self-care of women with breast cancer. Adv Biomed Res. 2018;7:139. [Link] [DOI:10.4103/abr.abr_142_18]
29. Yang F. Application of orem self-care model in early rehabilitation nursing of patients with cerebral infarction. Investigación Clínica. 2020;61(3):1447-56. [Link]
30. Ministry of Health and Medical Education. Corona virus news. Tehran: Ministry of Health and Medical Education; 2021 [Cited 2021 Jan 1]. Available from: yun.ir/65yr68. [Link]
31. Alexa. Top Sites in Iran Amazon. New york: Alexa; 2021 [Cited 2021 Jan 1]. Available from: https://www.alexa.com/topsites/countries/IR. [Link]
32. Sap S, Kondo E, Sobngwi E, Mbono R, Tatah S, Dehayem M, et al. Effect of patient education through a social network in young patients with type 1 diabetes in a Sub‐Saharan context. Pediatr Diabetes. 2019;20(3):361-5. [Link] [DOI:10.1111/pedi.12835]
33. Kamel Boulos MN, Giustini DM, Wheeler S. Instagram and WhatsApp in health and healthcare: an overview. Future Internet. 2016;8(3):37. [Link] [DOI:10.3390/fi8030037]
34. Mohammadzadeh Z, Davoodi S, Ghazisaeidi M. Online social networks-opportunities for empowering cancer patients. Asian Pac J Cancer Prev. 2016;17(3):933-6. [Link] [DOI:10.7314/APJCP.2016.17.3.933]
35. Lee S, Vishwanath A. Examining Predictors of Self-Care Behaviors in Korean Patients with Chronic Hepatitis B. Curr Psychol. 2019;38(3):890-900. [Link] [DOI:10.1007/s12144-017-9664-y]
36. Ukoha C. On the value of healthcare social media: exploring users' perspectives. PACIS 2018 Proceedings. 2018;205. [Link]
37. Yu SC, Chen HR, Liu AC, Lee HY, editors. Toward COVID-19 information: infodemic or fear of missing out?. Healthcare. 2020;8(4):550. [Link] [DOI:10.3390/healthcare8040550]
38. Cuello-Garcia C, Pérez-Gaxiola G, van Amelsvoort L. Social media can have an impact on how we manage and investigate the COVID-19 pandemic. J Clin Epidemiol. 2020;127:198-201. [Link] [DOI:10.1016/j.jclinepi.2020.06.028]
39. Islam MS, Sarkar T, Khan SH, Kamal AHM, Hasan SM, Kabir A, et al. COVID-19-related infodemic and its impact on public health: A global social media analysis. Am J Trop Med Hyg. 2020;103(4):1621-9. [Link] [DOI:10.4269/ajtmh.20-0812]

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.