Social Media-Mediated Health Information and its Impacts on Consumer Behavior and Health Outcomes at City Government of Mandaluyong City, Philippines
DOI:
https://doi.org/10.48017/dj.v10i3.3413Keywords:
Social Media, Consumer Behavior, Public Health, City HealthAbstract
This study investigated the impact of social media-mediated health information on the health-related consumer behavior and outcomes of residents in Mandaluyong City, Philippines, using a descriptive correlational design. The research aimed to understand how the perceived credibility of information sources, personal health beliefs, attitudes, and social influences shape consumer health behaviors. Additionally, it explored the health outcomes associated with social media health information, categorized into positive health changes, mixed mental health impacts, and negative health risks. Employing a quantitative approach, data were gathered through surveys and analyzed using statistical tools such as weighted mean, standard deviation, and Pearson r-correlation coefficient. The study addressed three main objectives: analyzing the influence of social media-mediated health information on health-related consumer behavior, examining the health outcomes from consuming health information via social media, and determining the significant relationship between social media health information and health outcomes. The findings revealed that perceived credibility, personal health beliefs, and social influence significantly affected health-related consumer behavior. Participants who trusted credible sources and adopted proactive health attitudes reported positive health changes, whereas misinformation and negative social influences contributed to mixed mental health impacts and negative health risks. Furthermore, a significant relationship was established between social media-mediated health information and health outcomes, highlighting the critical role of social media in shaping health behaviors and outcomes among residents of Mandaluyong City. These results underscore the need for educational initiatives to enhance health literacy and the importance of reliable health information sources in mitigating the risks associated with social media engagement.
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References
Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
Alibudbud, R. (2021). Overexposure to COVID-19-related information on social media and anxiety: A study in the Philippines. Asian Journal of Psychiatry, 64, 102725.
Chang, Y. S., Zhang, Y., & Gwizdka, J. (2021). The effects of information source and eHealth literacy on consumer health information credibility evaluation behavior. Computers in Human Behavior, 115, 106629.
Dwyer, D. S., & Liu, H. (2013). The impact of consumer health information on the demand for health services. The Quarterly Review of Economics and Finance, 53(1), 1-11.
Farnood, A., Akbarzadeh, A., Dehghani, M., & Jahangiry, L. (2021). Trust in health information and its association with health behaviors: A cross-sectional study. Journal of Preventive Medicine and Public Health, 54(5), 324–330.
Fergie, G., Hilton, S., & Hunt, K. (2016). Young adults' experiences of seeking online information about diabetes and mental health in the age of social media. Health Expectations, 19(6), 1324-1335.
Hesse, B. W., Nelson, D. E., Kreps, G. L., Croyle, R. T., Arora, N. K., Rimer, B. K., & Viswanath, K. (2005). Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. Archives of internal medicine, 165(22), 2618-2624.
Islam, M. S., et al. (2021). COVID-19–related infodemic and its impact on public health: A global social media analysis. The American Journal of Tropical Medicine and Hygiene, 103(4), 1621–1629. https://doi.org/10.4269/ajtmh.20-0812
Kim, H., & Xie, B. (2021). Health literacy in the eHealth era: A systematic review of the literature. Journal of Medical Internet Research, 23(1), e24313. https://doi.org/10.2196/24313
Lambert, S. D., & Loiselle, C. G. (2007). Health information—seeking behavior. Qualitative health research, 17(8), 1006-1019.
Li, Y., & Wang, X. (2018). Seeking health information on social media: a perspective of trust, self-determination, and social support. Journal of Organizational and End User Computing (JOEUC), 30(1), 1-22.
Lim, Y. J., et al. (2022). Evaluating the effectiveness of social media campaigns on health behavior change in Thailand. Health Education Research, 37(2), 112–124.
Lwin, M. O., et al. (2021). Social media and health behavior in Singapore: Content analysis of the Health Promotion Board’s messaging. Journal of Health Communication, 26(3), 172–181.
Nguyen, T. T., et al. (2022). Digital peer influence and vaccine uptake in Southeast Asia. Vaccine, 40(5), 847–854.
Or, C. K., & Tao, D. (2014). Does the use of consumer health information technology improve outcomes in the patient self-management of diabetes? A meta-analysis and narrative review of randomized controlled trials. International journal of medical informatics, 83(5), 320-329.
Or, C. K., & Tao, D. (2020). The effectiveness of health information technologies on improving consumer health: A meta-analysis. Journal of the American Medical Informatics Association, 27(5), 770–779.
Pifalo, V., Hollander, S., Henderson, C. L., DeSalvo, P., & Gill, G. P. (1997). The impact of consumer health information provided by libraries: the Delaware experience. Bulletin of the Medical Library Association, 85(1), 16.
Pluye, P., El Sherif, R., Granikov, V., Hong, Q. N., Vedel, I., Galvao, M. C. B., ... & Grad, R. (2019). Health outcomes of online consumer health information: A systematic mixed studies review with framework synthesis. Journal of the Association for Information Science and Technology, 70(7), 643-659.
Prasetyo, Y. T., et al. (2021). Internet exposure and anxiety during COVID-19: Evidence from urban Indonesia. Heliyon, 7(5), e07085.
Riaz, M., Wang, X., & Guo, Y. (2021). An empirical investigation of precursors influencing social media health information behaviors and personal healthcare habits during coronavirus (COVID-19) pandemic. Information Discovery and Delivery, 49(3), 225-239.
Schubbe, D., Scalia, P., Yen, R. W., Saunders, C. H., Cohen, S., Elwyn, G., ... & Durand, M. A. (2020). Using pictures to convey health information: A systematic review and meta-analysis of the effects on patient and consumer health behaviors and outcomes. Patient education and counseling, 103(10), 1935-1960.
Teng, Y. T., et al. (2022). Social media and youth health behavior in Malaysia: Trends and risks. BMC Public Health, 22(1), 1453.
Yusof, M. S., et al. (2023). Health information-seeking behaviors and the role of social media: A study of urban youths in Malaysia. International Journal of Environmental Research and Public Health, 20(2), 998.
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