Impact of Social Media Intervention in Adult Population During Covid-19 Pandemic based on Protection Motivation Theory (PMT): a Systematic Review

Muhammad Prima Cakra Randana, Rizma Adlia Syakurah

Abstract


Social media has become a source of disseminating to the public during covid-19, it has the potential to change people opinion and even solve many issues in this situation. The theories to explain individual-level behavioral responses in health-threatening situations such as pandemic is Protection Motivation Theory (PMT). Based on PMT, threat and coping appraisal were predictors to behavioral responses in pandemics. The aim of this systematic review is to analyze the impact of social media intervention in adult population during covid-19 pandemic based on PMT. This review was compiled based on guidelines from PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). Inclusion criteria consists of English studies, studies related to the topic and match with required variables. The studies were collected from electronic databases such as Pubmed, Mendeley app, Europe PMC, Cochrane Databases, Science Direct, and Wiley Online Library. Five studies were found to match the inclusion criteria for this review. There are five cross-sectional studies involving a total of 2.448 participants that were published in 2020. Among all categories based on included studied, it was shown that cyberchondria, perceived severity and perceived vulnerability are predictors in social media, related to behavioral responses during Covid-19 Pandemic. Reducing information overload, related to cyberchondria, via the clear structuring and communication of reliable health information is needed. Hence, educating people on responsible and healthy social media use could help alleviate the observed negative consequences from perceived severity and vulnerability.


References


Wu JT, Leung K, Leung GM (2020). Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet, 395 (10225): 689-97. https://doi.org/10.1016/S0140-6736(20)30260-9.

World Health Organization (WHO) (2020). WHO Director-General’s statement on IHR Emergency Committee on Novel Coronavirus (2019-nCoV). Geneva: WHO. Available from: https://www.who.int/dg/speeches/detail/who-director-general-sstatement-on-ihr-emergency-committee-on-novel-coronavirus-(2019-ncov).

Pappot N, Taarnhøj GA, Pappot H (2020). Telemedicine and e-Health Solutions for COVID-19: Patients' Perspective. Telemedicine and e-Health. DOI:10.1089/tmj.2020.0099.

Kelman HC (1961). Processes of opinion change. Public Opinion Quarterly, 25 :57-78. Available from: https://www.jstor.org/stable/2746461.

Remuzzi A, Remuzzi G (2020),. COVID-19 and Italy: what next?. The Lancet, 4;395(10231):1225–1228.

Hao, Karen and Basu, Tanya (2020) The coronavirus is the first true social-media “infodemic”. URL: https://www.technologyreview.com/s/615184/the-coronavirus-isthe-first-true-social-media-infodemic/. (Accessed May 11, 2020)

Rogers RW, Prentice-Dunn S, authors; Gochman DS, editor (1997). Protection motivation theory. Handbook of Health Behavior Research 1: Personal and Social Determinants.. New York, NY: Plenum Press; p. 113–132.

Teasdale E, Yardley L, Schlotz W, Michie S, authors (2012). The importance of coping appraisal in behavioural responses to pandemic flu. Br J Health Psychol, 2;17(1):44–59.

Ahmad AR, Murad HR, R Gardner M (2020). The Impact of Social Media on Hyped Panic during the COVID-19 Pandemic: The Iraqi Kurdistan Case. JMIR Mental Health. May. DOI: 10.2196/19556.

Karasneh, R., Al-Azzam, S., Muflih, S., Soudah, O., Hawamdeh, S., & Khader, Y. (2020). Media’s effect on shaping knowledge, awareness risk perceptions and communication practices of pandemic COVID-19 among pharmacists. Research in Social and Administrative Pharmacy. doi:10.1016/j.sapharm.2020.04.027.

Farooq A, Laato S, Islam AKMN (2020). Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study. J Med Internet Res,22(5):e19128. doi: 10.2196/19128.

Abdelhafiz, A. S., Mohammed, Z., Ibrahim, M. E., Ziady, H. H., Alorabi, M., Ayyad, M., & Sultan, E. A (2020). Knowledge, Perceptions, and Attitude of Egyptians Towards the Novel Coronavirus Disease (COVID-19). Journal of community health, 1–10. Advance online publication. https://doi.org/10.1007/s10900-020-00827-7.

Roy, Deblina & Tripathy, Sarvodaya & Kar, Sujita & Sharma, Nivedita & Verma, Sudhir & Kaushal, Vikas (2020). Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian Journal of Psychiatry. 51. 102083. 10.1016/j.ajp.2020.102083.

Fergus TA, Russell LH, authors (2016). Does cyberchondria overlap with health anxiety and obsessive-compulsive symptoms? An examination of latent structure and scale interrelations. J Anxiety Disord, 3;38:88–94.

Jokić-Begić N, Mikac U, Čuržik D, Sangster Jokić C, authors (2019). The development and validation of the short cyberchondria scale (SCS). J Psychopathol Behav Assess, 5 17;41(4):662–676.

Zeine, Rana & Mohammed, Denelle & Wilcox, Sara & Renee, Camille & Janke, Christine & Jarrett, Niki & Evangelopoulos, Anjelika & Serrano, Chasity & Tabassum, Nazmin & Turner, Natashia & Theodore, Melody & Dusic, Aleksandar (2019). Cyberchondria: Implications of Online Behavior and Health Anxiety as Determinants. 7. 154-162. 10.4103/amhs.amhs_108_19.

Laato, S., Islam, A. K. M., Islam, M. N., & Whelan, E (2020). Why do People Share Misinformation during the COVID-19 Pandemic?. arXiv preprint arXiv:2004.09600.

Bish A, Michie S, authors (2010). Demographic and attitudinal determinants of protective behaviours during a pandemic: a review. British Journal of Health Psychology, 15(4):797–824.

Sharifirad G, Yarmohammadi P, Sharifabad MM, Rahaei Z (2014). Determination of preventive behaviors for pandemic influenza A/H1N1 based on protection motivation theory among female high school students in Isfahan, Iran. J Edu Health Promot, 3:7

Bults M, Beaujean DJ, de Zwart O, Kok G, van Empelen P, van Steenbergen JE, Richardus JH, Voeten HA, authors (2011). Perceived risk, anxiety, and behavioural responses of the general public during the early phase of the Influenza A (H1N1) pandemic in the Netherlands: results of three consecutive online surveys. BMC Public Health, 1 03;11:2.

Boer H, Seydel ER (1996) Protection motivation theory. Predicting Health Behaviour. Edited by: Conner M, Norman P. Buckingham: Open University Press, 95-120.

Rippetoe PA, Rogers RW (1987). Effects of components of protection motivation theory on adaptive and maladaptive coping with a health threat. J Pers Soc Psychol, 52: 596-604. 10.1037/0022-3514.52.3.596.

Floyd DL, Prentice-Dunn S, Rogers RW (2000). A meta-analysis of research on protection motivation theory. J Appl Soc Psychol, 30: 407-429. 10.1111/j.1559-1816.2000.tb02323.x.

Milne S, Sheeran P, Orbell S (2000). Prediction and intervention in health-related behavior: a meta-analytic review of protection motivation theory. J Appl Soc Psychol, 30: 106-143. 10.1111/j.1559-1816.2000.tb02308.x.




DOI: http://doi.org/10.11591/ijphs.v10i4.20510

Refbacks

  • There are currently no refbacks.


International Journal of Public Health Science (IJPHS)
p-ISSN: 2252-8806, e-ISSN: 2620-4126

View IJPHS Stats

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.