Volume 14, Issue 12 (February 2021)
Qom Univ Med Sci J 2021, 14(12): 1-13 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Mohammadi Motlaq A, Abazari Z, Sepehr F. Presenting the proposed model of health information social network. Qom Univ Med Sci J 2021; 14 (12) :1-13
URL: http://journal.muq.ac.ir/article-1-3048-en.html
URL: http://journal.muq.ac.ir/article-1-3048-en.html
1- Department of Information Science, Faculty of Humanities, Islamic Azad University, North Tehran Branch, Tehran, Iran.
2- Department of Information Science, Faculty of Humanities, Islamic Azad University, North Tehran Branch, Tehran, Iran. ,abazari391@yahoo.com
2- Department of Information Science, Faculty of Humanities, Islamic Azad University, North Tehran Branch, Tehran, Iran. ,
Abstract: (2173 Views)
Background and Objectives: Nowadays, virtual social networks play a significant role in the exchange of health information and promotion of health. Moreover, they provide a good opportunity to create a suitable and comprehensive platform for dissemination and sharing of information and increase the quality of health care services in form of health information social networks. Given the high costs required to implement and provide services based on new technologies, it is necessary to reduce the unnecessary costs through the design and presentation of a model. This study aimed to provide a model for the health information social network.
Methods: This study was an analytical survey. The components of the proposed network were identified through the review of the literature based on the exploratory factor analysis and confirmatory factor analysis (EFA). The statistical population included 380 faculty members of medical universities. The data were analyzed using SPSS Amos software (version 19).
Results: Based on the obtained EFA results, the proposed network had six dimensions that accounted for 80% of the variance of the components of the health information social network model. The CFA results confirmed the good fit of the model as well.
Conclusion: The study results demonstrated that the obtained model was an appropriate and comprehensive platform and would provide appropriate services in form of a health information social network.
Methods: This study was an analytical survey. The components of the proposed network were identified through the review of the literature based on the exploratory factor analysis and confirmatory factor analysis (EFA). The statistical population included 380 faculty members of medical universities. The data were analyzed using SPSS Amos software (version 19).
Results: Based on the obtained EFA results, the proposed network had six dimensions that accounted for 80% of the variance of the components of the health information social network model. The CFA results confirmed the good fit of the model as well.
Conclusion: The study results demonstrated that the obtained model was an appropriate and comprehensive platform and would provide appropriate services in form of a health information social network.
Keywords: Social networking, Health Information Exchange, Health promotion, Information Dissemination.
Type of Study: Original Article |
Subject:
کتابداری و اطلاع رسانی پزشکی
Received: 2021/01/31 | Accepted: 2021/02/28 | Published: 2021/02/28
Received: 2021/01/31 | Accepted: 2021/02/28 | Published: 2021/02/28
References
1. Olsen T, Horgen S, editors. Business and Social Media: Structure and Effects of a Web 2.0 Based Course. EDULEARN12 Proceedings; 2012: IATED. Link
2. Wager KA, Lee FW, Glaser JP. Health care information systems: a practical approach for health care management: John Wiley & Sons; 2017. Link
3. Miller LMS, Bell RA. Online health information seeking: the influence of age, information trustworthiness, and search challenges. Journal of aging and health. 2012;24(3):525-41. Link [DOI:10.1177/0898264311428167]
4. Boden C. Overcoming the linguistic divide: a barrier to consumer health information. Journal of the Canadian Health Libraries Association 2009; 30(3):75-80. Link [DOI:10.5596/c09-020]
5. Lupton D. M-health and health promotion: The digital cyborg and surveillance society. Social Theory & Health. 2012;10(3):229-44. Link [DOI:10.1057/sth.2012.6]
6. Liang XH, Barua M, Lu RX, Lin XD, Shen XM. HealthShare: Achieving secure and privacy-preserving health information sharing through health social networks. Comput Commun. 2012;35(15):1910-20. Link [DOI:10.1016/j.comcom.2012.01.009]
7. Zhang P, Durresi A, editors. Trust management framework for social networks. Communications (ICC), 2012 IEEE International Conference on; 2012: IEEE. Link [DOI:10.1109/ICC.2012.6364031]
8. Coenen T, Kenis D, Van Damme C, Matthys E, editors. Knowledge sharing over social networking systems: Architecture, usage patterns and their application. OTM Confederated International Conferences" On the Move to Meaningful Internet Systems"; 2006: Springer. Link [DOI:10.1007/11915034_42]
9. Vance K, Howe W, Dellavalle RP. Social Internet Sites as a Source of Public Health Information. Dermatologic Clinics. 2009;27(2):133-6. Link [DOI:10.1016/j.det.2008.11.010]
10. Adams SA. Revisiting the online health information reliability debate in the wake of "web 2.0": An inter-disciplinary literature and website review. International Journal of Medical Informatics. 2010;79(6):391-400. Link [DOI:10.1016/j.ijmedinf.2010.01.006]
11. Scanfeld D, Scanfeld V, Larson EL. Dissemination of health information through social networks: Twitter and antibiotics. American Journal of Infection Control. 2010;38(3):182-8. Link [DOI:10.1016/j.ajic.2009.11.004]
12. Kim W, Kreps GL, Shin CN. The role of social support and social networks in health information-seeking behavior among Korean Americans: a qualitative study. Int J Equity Health. 2015;14:10. Link [DOI:10.1186/s12939-015-0169-8]
13. Zhang N, Teti M, Stanfield K, Campo S. Sharing for Health: A Study of Chinese Adolescents' Experiences and Perspectives on Using Social Network Sites to Share Health Information. J Transcult Nurs. 2017;28(4):423-9. Link [DOI:10.1177/1043659616680268]
14. Byrne BM. Structural equation modeling with AMOS: basic concepts, applications, and programming (multivariate applications series). New York: Taylor & Francis Group. 2010;396:7384. Link
15. King D, Ramirez-Cano D, Greaves F, Vlaev I, Beales S, Darzi A. Twitter and the health reforms in the English National Health Service. Health policy. 2013;110(2):291-7. Link [DOI:10.1016/j.healthpol.2013.02.005]
16. Zhang Y. College students' uses and perceptions of social networking sites for health and wellness information. Information Research: An International Electronic Journal. 2012;17(3):n3. Link
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
Owned by Qom University of Medical Sciences
Published by Qom University of Medical Sciences Press
eISSN: 2008-1375
pISSN: 1735-7799
Email: journal[at]muq.ac.ir
j.mua.ac[at]gmail.com
