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Reseach Article

An Attempt to Study the Hierarchy of Inter-relations amongst the Social Media Metrics behind Successful Execution of Physiotherapy and Wellness Centres

by Ravdeep Singh, Remica Aggarwal, Veena Aggarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 35
Year of Publication: 2020
Authors: Ravdeep Singh, Remica Aggarwal, Veena Aggarwal
10.5120/ijca2020920912

Ravdeep Singh, Remica Aggarwal, Veena Aggarwal . An Attempt to Study the Hierarchy of Inter-relations amongst the Social Media Metrics behind Successful Execution of Physiotherapy and Wellness Centres. International Journal of Computer Applications. 175, 35 ( Dec 2020), 39-46. DOI=10.5120/ijca2020920912

@article{ 10.5120/ijca2020920912,
author = { Ravdeep Singh, Remica Aggarwal, Veena Aggarwal },
title = { An Attempt to Study the Hierarchy of Inter-relations amongst the Social Media Metrics behind Successful Execution of Physiotherapy and Wellness Centres },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2020 },
volume = { 175 },
number = { 35 },
month = { Dec },
year = { 2020 },
issn = { 0975-8887 },
pages = { 39-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number35/31680-2020920912/ },
doi = { 10.5120/ijca2020920912 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:40:23.470522+05:30
%A Ravdeep Singh
%A Remica Aggarwal
%A Veena Aggarwal
%T An Attempt to Study the Hierarchy of Inter-relations amongst the Social Media Metrics behind Successful Execution of Physiotherapy and Wellness Centres
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 35
%P 39-46
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Present research contributes towards exploring and thereafter establishing inter-relationships amongst the social media metrics that are helpful in success of Physiotherapy health care practitioners as well as for physiotherapy clinics. Thereafter it tries to establish the inter-relationship amongst them using ISM methodology.

References
  1. Van Velsen L, Van Gemert-Pijnen J.E., Beaujean D.J. 2012. Should health organizations use Web 2.0 media in times of an infectious disease crisis: an in-depth qualitative study of citizens' information behavior during an EHEC outbreak. J Med Internet Res. 14, e181.
  2. Knight, E. , Werstine , R.J., Musseh, D.M.R., Fitzsimmons , D., Petrella, R.J. 2015. Physical therapy 2.0 : Leveraging Social Media to engage patients in rehabilitation and health promotion , Physical therapy , 95(3) : 389-396. DOI: 10.2522/ptj.20130432.
  3. Knight, E. 2012. Leveraging the power of social media to engage patients and achieve treatment outcomes. Crit Rev Phys Rehabil Med., 24, 169–177.
  4. American Physical Therapy Association. Social media tips and best practices.2013. http://www.apta.org/SocialMedia/Tips/ .
  5. Canadian Physiotherapy Association. Eyes wide open: the risks and benefits of using social media. Physiotherapy Practice. 2012;2:13–16.
  6. Remmers C, Hibbard J, Mosen D.M. 2009. Is patient activation associated with future health outcomes and healthcare utilization among patients with diabetes? J Ambul Care Manage., 32, 320–327.
  7. Solomon, M., Wagner, S.L., Goes, J. 2012. Effects of a web-based intervention for adults with chronic conditions on patient activation: online randomized controlled trial. J Med Internet Res., 14, e32.
  8. Kaplan AM, Haenlein M. 2010. Users of the world, unite: the challenges and opportunities of social media. Bus Horiz, 53, 59–68.
  9. Thackeray, R, Crookston, B.T., West, J.H. 2013. Correlates of health-related social media use among adults. J Med Internet Res., 15, e21.
  10. Giustini D. 2006. How Web 2.0 is changing medicine. BMJ. 1283–1284.
  11. Fisher, J., Clayton, M. 2012. Who gives a tweet: assessing patients' interest in the use of social media for health care. Worldviews Evid Based Nurs. , 9, 100–108.
  12. Van De Belt , T.H., Engelen, L.J., Berben, S.A., Schoonhoven, L. 2010. Definition of Health 2.0 and Medicine 2.0: a systematic review. J Med Internet Res., 12, e18.
  13. Neal, D.M. 2010. Emotion-based tags in photographic documents: the interplay of text, image, and social influence. Canadian Journal of Information and Library Science , 34, 329–353.
  14. Weiler, R., Neyndorff C. 2013. BJSM social media contributes to health policy rethink: a physical activity success story in Hertfordshire. Br J Sports Med., 47, 593–594.
  15. Paek H.J., Kim K., Hove T. 2010. Content analysis of antismoking videos on YouTube: message sensation value, message appeals, and their relationships with viewer responses. Health Educ Res., 25, 1085–1099.
  16. Williams D, Sullivan S.J., Schneiders A.G. 2014. Big hits on the small screen: an evaluation of concussion-related videos on YouTube. Br J Sports Med., 48, 107–111.
  17. Sullivan, P. 2011. CMA developing social-media guidelines for MDs. http://www.cma.ca/cma-social-media-guidelines .
  18. McDaniel C. Three key metrics to measure social media success. 2011. http://searchenginewatch.com/article/2073592/3-Key-Metrics-To-Measure-Social-Media-Success
  19. Singla , M.L. and Durga, A. 2015 , How social media gives you competitive advantage, Indian Journal of Science and Technology, Vol 8(S4), 90–95, ISSN (Print) : 0974-6846. ISSN (Online) : 0974-5645 DOI: 10.17485/IJST/2015/
  20. Moorhead, S.A., Hazlett, D.E., Harrison, L. 2013. A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res. , 15, e85.
  21. Warfield, J.N. 1974. Developing interconnection matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, (1), 81-87.
Index Terms

Computer Science
Information Sciences

Keywords

Physiotherapy Social media metrics Health care metrics Interpretive Structural Modelling Methodology Social media