Review Article

A systematic review on social media utilization by health communicators in India: Insights from COVID-19 pandemic

Maria Brony 1 , Mumtaz Aini Alivi 1 * , Md Azalanshah Md Syed 1 , Nasrullah Dharejo 2 , Xu Jiaqing 1
More Detail
1 Faculty of Arts and Social Sciences, University of Malaya, Kuala Lumpur, MALAYSIA2 University of Malaya, Malaysia and Sukkur IBA University, PAKISTAN* Corresponding Author
Online Journal of Communication and Media Technologies, 14(4), October 2024, e202449, https://doi.org/10.30935/ojcmt/15007
Published Online: 27 August 2024, Published: 01 October 2024
OPEN ACCESS   1415 Views   384 Downloads
Download Full Text (PDF)

ABSTRACT

Social media has become a vital tool for facilitating health communications, particularly during emerging health crises such as the COVID-19 pandemic. This systematic literature review aims to synthesize evidence regarding the benefits and barriers associated with the utilization of social media by health communicators in India for disseminating health-related information. A comprehensive search of databases like CINAHL, Google Scholar, PubMed, and WHO Global Index Medicus databases yielded a total of 13 relevant studies. The narrative analysis revealed six key benefits attributed to the usage of social media by health communicators, including the widespread adoption of social media platforms for health communications, health communicators leveraging social media as an information source, fostering the development of protective behaviors, aiding prompt and transparent health communication, promoting participatory communication and empowerment, and employing social media as a tool for monitoring public sentiments and mental well-being. Conversely, challenges such as the proliferation of misinformation and communication inequalities were identified as significant barriers in social media health communications. While social media platforms hold immense potential in advancing crisis communication agendas, health communicators are advocated to adopt a multifaceted approach by prioritizing digital inclusivity, combating misinformation, and fostering synergetic collaborations between governmental bodies and community entities.

CITATION (APA)

Brony, M., Alivi, M. A., Syed, M. A. M., Dharejo, N., & Jiaqing, X. (2024). A systematic review on social media utilization by health communicators in India: Insights from COVID-19 pandemic. Online Journal of Communication and Media Technologies, 14(4), e202449. https://doi.org/10.30935/ojcmt/15007

REFERENCES

  1. Aggrawal, P., Jolly, B. L., Gulati, A., Sethi, A., Kumaraguru, P., & Sethi, T. (2021). Psychometric analysis and coupling of emotions between state bulletins and Twitter in India during COVID-19 infodemic. Frontiers in Communication, 6. https://doi.org/10.3389/fcomm.2021.695913
  2. Alivi, M. A., Ghazali, A. H. A., & Tamam, E. (2018). Significant effects of online news on vote choice: A review. International Journal of Web Based Communities, 14(4), 379–394. https://doi.org/10.1504/IJWBC.2018.096258
  3. Baldock, C. V. (2005). Migrants and their parents: Caregiving from a distance. In F. J. Turner (Ed.), Social work diagnosis in contemporary practice (pp. 526–538). Oxford University Press. https://doi.org/10.1093/oso/9780195168785.003.0052
  4. Balogun, B. A., Dhanya, M., & Viswanathan, P. K. (2023). Social media health communication: A cursory examination of hospitals in India with Facebook presence during the COVID-19 pandemic. In Accelerating strategic changes for digital transformation in the healthcare industry (pp. 105–125). Academic Press. https://doi.org/10.1016/B978-0-443-15299-3.00009-9
  5. Becker, M. H. (1974). The health belief model and sick role behavior. Health Education Monographs, 2(4), 409–419. https://doi.org/10.1177/109019817400200407
  6. Brony, M., Alivi, M. A., Syed, M. A. M., & Dharejo, N. (2024). A systematic review on social media health communications and behavioural development among Indians in the COVID-19 context. Studies in Media and Communication, 12(2), 37–49. https://doi.org/10.11114/smc.v12i2.6585
  7. Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R. (2020). Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis. Computers in Human Behavior, 110, Article 106380. https://doi.org/10.1016/j.chb.2020.106380
  8. Chew, C., & Eysenbach, G. (2010). Pandemics in the age of Twitter: Content analysis of tweets during the 2009 H1N1 outbreak. PLoS ONE, 5(11), Article e14118. https://doi.org/10.1371/journal.pone.0014118
  9. Darshan, B. M., & Kalyani, S. (2021). Social media participatory development communication during COVID-19 by elected women representatives (EWR) of Panchayati Raj Institutions (PRI) in India. SHS Web of Conferences, 128, Article 05005. https://doi.org/10.1051/shsconf/202112805005
  10. Dhanashree, Garg, H. S., Chauhan, A., Bhatia, M., Sethi, G., & Chauhan, G. (2021). Role of mass media and its impact on general public during coronavirus disease 2019 pandemic in North India: An online assessment. Indian Journal of Medical Sciences, 73, 21–25. https://doi.org/10.25259/ijms_312_2020
  11. Dutta, M. J., Moana-Johnson, G., & Elers, C. (2020a). COVID-19 and the pedagogy of culture-centered community radical democracy: A response from Aotearoa New Zealand. Journal of Communication Pedagogy, 3, 11–19. https://doi.org/10.31446/JCP.2020.03
  12. Dutta, M., Agarwal, D., & Sivakami, M. (2020b). The “invisible” among the marginalized: Do gender and intersectionality matter in the COVID-19 response? Indian Journal of Medical Ethics, 05, 302–308. https://doi.org/10.20529/IJME.2020.086
  13. Ganapathy, D. (2022). Global culture, power, and health communication: India fights Corona on the battlefield of social media platforms. In The Emerald handbook of computer-mediated communication and social media (pp. 85–101). https://doi.org/10.1108/978-1-80071-597-420221006
  14. Gesser-Edelsburg, A., Diamant, A., Hijazi, R., & Mesch, G. S. (2018). Correcting misinformation by health organizations during measles outbreaks: A controlled experiment. PLoS ONE, 13(12), Article e0209505. https://doi.org/10.1371/journal.pone.0209505
  15. Ishikawa, H., & Kiuchi, T. (2010). Health literacy and health communication. BioPsychoSocial Medicine, 4(1), Article 18. https://doi.org/10.1186/1751-0759-4-18
  16. James, P. (2016). Social media marketing developments in private hospitals in Bangkok. Internet Journal of Healthcare Administration, 11(1), 1–13.
  17. JBI Critical Appraisal Tools. (n.d.). JBI critical appraisal tools. JBI. https://jbi.global/critical-appraisal-tools
  18. Kaur, M., Verma, R., & Otoo, F. N. (2021). Emotions in leader’s crisis communication: Twitter sentiment analysis during COVID-19 outbreak. Journal of Human Behavior in the Social Environment, 31(1–4), 362–372. https://doi.org/10.1080/10911359.2020.1829239
  19. Kim, S., & Yang, J. (2015). MERS outbreak and suggestions for press guideline. Journalism & Broadcasting.
  20. Kumar, A., Wadhwa, A., & Gramle, A. (2021). Health care professionals in the digital landscape in India. International Journal of Management and Humanities, 5(7), 30–36. https://doi.org/10.35940/ijmh.g1258.035721
  21. Maddux, J. E., & Rogers, R. W. (1983). Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. Journal of Experimental Social Psychology, 19(5), 469–479. https://doi.org/10.1016/0022-1031(83)90023-9
  22. Mali, N. V., Yerramsetti, S., & Manoharan, A. P. (2021). Communicative governance to mitigate the COVID-19 pandemic. International Journal of E-Planning Research, 10(2), 116–123. https://doi.org/10.4018/ijepr.20210401.oa10
  23. Men, L. R., Tsai, W. H. S., Chen, Z. F., & Ji, Y. G. (2018). Social presence and digital dialogic communication: Engagement lessons from top social CEOs. Journal of Public Relations Research, 30(3), 83–99. https://doi.org/10.1080/1062726X.2018.1498341
  24. Merchant, R. M., & Lurie, N. (2020). Social media and emergency preparedness in response to novel coronavirus. JAMA, 323(20), Article 2011. https://doi.org/10.1001/jama.2020.4469
  25. Mohan, R. (2020, March 24). Coronavirus: Fake news keeping pace with spread of COVID-19 in India. The Straits Times. https://www.straitstimes.com/asia/south-asia/coronavirus-fake-news-keeping-pace-with-spread-of-covid-19-in-india
  26. Molla, R. (2020, March 12). How coronavirus took over social media. Vox. https://www.vox.com/recode/2020/3/12/21175570/coronavirus-covid-19-social-media-twitter-facebook-google
  27. Nazmi, S. (2019, December 19). Why India shuts down the Internet more than any other democracy. BBC News. https://www.bbc.com/news/world-asia-india-50819905
  28. O’Leary, L., Erikainen, S., Peltonen, L., Ahmed, W., Thelwall, M., & O’Connor, S. (2021). Exploring nurses’ online perspectives and social networks during a global pandemic COVID-19. Public Health Nursing, 39(3), 586–600. https://doi.org/10.1111/phn.12994
  29. Oxfam India. (2022). Digital divide: India inequality report. https://www.oxfamindia.org/knowledgehub/workingpaper/india-inequality-report2022-digital-divide
  30. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., …, & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71
  31. Paul, S., & Das, S. (2022). Investigating information dissemination and citizen engagement through government social media during the COVID-19 crisis. Online Information Review, 47(2), 316–332. https://doi.org/10.1108/oir-06-2021-0307
  32. Popay, J., Roberts, H., Sowden, A., Petticrew, M., Arai, L., Rodgers, M., Britten, N., Roen, K., & Duffy, S. (2006). Guidance on the conduct of narrative synthesis in systematic reviews: A product from the ESRC methods programme (Version I). Lancaster University.
  33. Radhakrishnan, R., Datchanamoorthy, M., Narayanasamy, D., & Leela, K. V. (2023). Assessment on infection prevention and control knowledge among medical professionals in South Indian population. The Journal of Infection in Developing Countries, 17(04), 468–476. https://doi.org/10.3855/jidc.17377
  34. Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. Journal of Psychology, 91(1), Article 93. https://doi.org/10.1080/00223980.1975.9915803
  35. Roy, D., Das, M., & Deshbandhu, A. (2021). Postcolonial pandemic publics: Examining social media health promotion in India during the COVID-19 crisis. Health Promotion International, 37(2), Article daab076. https://doi.org/10.1093/heapro/daab076
  36. Roy, S., & Ayalon, L. (2020). “Goodness and kindness”: Long-distance caregiving through volunteers during the COVID-19 lockdown in India. The Journals of Gerontology: Series B, 76(7), e281–e289. https://doi.org/10.1093/geronb/gbaa187
  37. Sharma, R., Kumar, M., & Rohilla, K. K. (2022). COVID-19 infodemic: Evaluating information-seeking behaviour among healthcare workers during a pandemic. Cureus. https://doi.org/10.7759/cureus.20910
  38. Singh, M. (2020, March 21). India launches WhatsApp chatbot to create awareness about coronavirus, asks social media services to curb spread of misinformation. Techcrunch.com. https://techcrunch.com/2020/03/21/india-whatsapp-mygov-corona-helpdesk-bot/
  39. Swar, B., & Hameed, T. (2017). Fear of missing out, social media engagement, smartphone addiction, and distraction: Moderating role of self-help mobile apps-based interventions in the youth. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies. https://doi.org/10.5220/0006166501390146
  40. Viswanath, K., Ramanadhan, S., & Kontos, E. Z. (2007). Mass media. In S. Galea (Ed.), Macrosocial determinants of population health (pp. 275–294). Springer. https://doi.org/10.1007/978-0-387-70812-6_13
  41. Witte, K., & Allen, M. (2000). A meta-analysis of fear appeals: Implications for effective public health campaigns. Health Education & Behavior, 27(5), 591–615. https://doi.org/10.1177/109019810002700506
  42. World Health Organization. (2023). WHO coronavirus (COVID-19) dashboard. https://covid19.who.int/
  43. World Telecommunication/ICT Indicators Database. (2023). International Telecommunication Union. https://www.itu.int/en/ITU-D/Statistics/Pages/publications/wtid.aspx
  44. Yang, Y., Adnan, H. M., Alivi, M. A., & Sarmiti, N. Z. (2024). Unveiling the influence of TikTok dependency on university students’ post-COVID-19 health protective behavior. Studies in Media and Communication, 12(1), 390–400. https://doi.org/10.11114/smc.v12i1.6625