The Effects of Perceived Efficacy Beliefs in Covid-19 Television Messages on Vaccine Adoption Behavior Among Youths in Kiambu County, Kenya

https://doi.org/10.51867/ajernet.6.1.62

Authors

Keywords:

Adoption Behavior, COVID-19, Perceived Efficacy Beliefs, Pandemics, Perception of COVID-19 Vaccines

Abstract

The media play a key role when in sharing information during a pandemic. Knowledge on pandemics is shaped by the content aired via different channels of communication. The television messages on pandemic’s efficacy beliefs are designed to influence action. Borrowing from extended parallel model, perceived efficacy beliefs contain perceived response efficacy and perceived self-efficacy thus people’s reactions during stressful instances varies. This is because when individuals receive threat messages, they outweigh messages which increases their perceived efficacy. The effects of threatening messages depend on the magnitude of emotional response and efficacy beliefs. As such, the study aimed at determining the effects of perceived efficacy beliefs Covid-19 television messages on vaccine adoption behavior among youths in Kiambu County, Kenya. The study adopted cross-sectional research design and was a mixed research. The research design accounted for rejection and acceptance behavior after the vaccines were made available in August 2021.By use of simple random and convenience sampling techniques 384 youths were obtained for questionnaires. However, out 384 respondents only 346 respondents participated in the questionnaires. From the frequency analysis on perceived response efficacy 97.3% youths had perceived response efficacy beliefs while 2.7% lacked perceived response efficacy. The Chi-square test returned statistically significant results (X2=0.001, df=1, p=0.003). Additionally, 96.8% youths had perceived self-efficacy while 3.2% lacked perceived self-efficacy with Chi-square test results of (X2=0.025, df=1, p=0.014). These findings demonstrated that people acquire beliefs on threat control after receiving risk information. The perceived efficacy beliefs in Covid-19 television messages led to low vaccine uptake among youths in Kiambu County. The perceived efficacy beliefs are important, thus a starting point for more research on what informs the media reports when covering health issues such as pandemics.

Dimensions

Avery, E. (2010). Contextual and audience moderators of channel selection and message reception of public health information in routine and crisis situations. Journal of Public Relations Research, 22(4), 378-403.

https://doi.org/10.1080/10627261003801404

Bryant, A. (2017). Grounded theory and grounded theorizing: Pragmatism in research practice. Oxford University Press.

https://doi.org/10.1093/acprof:oso/9780199922604.001.0001

Crossman, A. (2018). An Overview of Qualitative Research Methods. ThoughtCo

Farrokhi, F., & Mahmoudi-Hamidabad, A. (2012). Rethinking Convenience Sampling: Defining Quality Criteria. Theory & Practice in Language Studies, 2(4).

https://doi.org/10.4304/tpls.2.4.784-792

Firth, A. M., Cavallini, I., Sütterlin, S., & Lugo, R. G. (2019). Mindfulness and self-efficacy in pain perception, stress and academic performance. The influence of mindfulness on cognitive processes. Psychology Research and Behaviour Management, 565-574. https://doi.org/10.2147/PRBM.S206666

Floyd, D. L., Prentice-Dunn, S., & Rogers, R. W. (2000). A meta-analysis of research on protection motivation theory. Journal of applied social psychology, 30(2), 407-429. https://doi.org/10.1111/j.1559-1816.2000.tb02323.x

Gollust, S. E., Fowler, E. F., & Niederdeppe, J. (2019). Television news coverage of public health issues and implications for public health policy and practice. Annual Review of Public Health, 40, 167-185.

https://doi.org/10.1146/annurev-publhealth-040218-044017

Joachim O, O., Rehema, C., Evelyne, M., Jackline, K., Myriam, S., & Maggie, R. (2022, June). Determinants of COVID-19 vaccine behaviour intentions among the youth in Kenya: A cross-sectional study. BMC.

Karijo, E., Wamugi, S., Lemanyishoe, S., Njuki, J., Boit, F., Kibui, V., Karanja, S., & Abuya, T. (2021). Knowledge, attitudes, practices, and the effects of COVID-19 among the youth in Kenya. BMC public health, 21(1), 1020.

https://doi.org/10.1186/s12889-021-11067-2

Khan, N. A., Fahad, S., Naushad, M., & Faisal, S. (2020). Effects of social stigma on the sick people of COVID-2019 in the community of the world. Social Science Research Network. https://api.semanticscholar.org/CorpusID:234693546

https://doi.org/10.2139/ssrn.3600579

Khasawneh, A. I., Humeidan, A. A., Alsulaiman, J. W., Bloukh, S., Ramadan, M., Al-Shatanawi, T. N., Awad, H. H., Hijazi, W. Y., Al-Kammash, K. R., Obeidat, N., Saleh, T., & Kheirallah, K. A. (2020). Medical students and covid-19: knowledge, attitudes, and precautionary measures. A descriptive study from Jordan. Frontiers in public health, 8, 253. https://doi.org/10.3389/fpubh.2020.00253

Kombo, D. K., & Tromp, D. L. (2006). Proposal and thesis writing: An introduction. Nairobi: Paulines Publications Africa.

Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.

Liu, L., Xie, J., Li, K., & Ji, S. (2020). Exploring how media influence preventive behavior and excessive preventive intention during the COVID-19 pandemic in China. International Journal of Environmental Research and Public Health, 17(21), 7990. https://doi.org/10.3390/ijerph17217990

Maynard, O. M., Gove, H., Skinner, A. L., & Munafò, M. R. (2018). Severity and susceptibility: measuring the perceived effectiveness and believability of tobacco health warnings. BMC public health, 18(1), 1-6.

https://doi.org/10.1186/s12889-018-5385-x

Media Council of Kenya. (2021). The state of the media report 2021. Media Council of Kenya.

Mehiriz, K., & Gosselin, P. (2021). The Effect of Perceived Threats and Response Efficacy on Adaptation to Smog: An Instrumental Variables Design. Risk Analysis.

https://doi.org/10.1111/risa.13814

Ministry of Health Kenya. (2021b). Approved COVID-19 vaccination posts (March to June). Retrieved from https://www.health.go.ke/wp-content/uploads/2021/03/MOH-APPROVED-COVID-19-VACCINATION-POSTS-MARCH-TO-JUNE_FINAL.pdf

Ministry of Health Kenya. (2021c). Kenya ready to deploy multiple vaccines, MOH assures. Retrieved from https://www.health.go.ke/kenya-ready-to-deploy-multiple-vaccines-moh-assures/

Moriarty, C. M. (2009). Effects of self-efficacy and response efficacy messages in health news: Changing health attitudes and behavioral intentions. University of Illinois at Urbana-Champaign.

Muchiri, S. K., Muthee, R., Kiarie, H., Sitienei, J., Agweyu, A., Atkinson, P. M., Edson Utazi, C., Tatem, A. J., & Alegana, V. A. (2022). Unmet need for COVID-19 vaccination coverage in Kenya. Vaccine, 40(13), 2011-2019. https://doi.org/10.1016/j.vaccine.2022.02.035

Norman, P., Boer, H., Seydel, E. R., & Mullan, B. (2015). Protection motivation theory. Predicting and changing health behavior, 70-106.

Ozer, S. (2024). Social support, self-efficacy, self-esteem, and well-being during COVID-19 lockdown: A two-wave study of Danish students. Scandinavian Journal of Psychology, 65(1), 42-52. https://doi.org/10.1111/sjop.12952

Pellerone, M. (2021). Self-perceived instructional competence, self-efficacy and burnout during the Covid-19 pandemic: A study of a group of Italian school teachers. European Journal of Investigation in Health, Psychology and Education, 11(2), 496-512. https://doi.org/10.3390/ejihpe11020035

Pieri, E. (2019). Media framing and the threat of global pandemics: The Ebola crisis in UK media and policy response. Sociological research online, 24(1), 73-92.

https://doi.org/10.1177/1360780418811966

Perse, E. M., & Lambe, J. (2016). Media effects and society. Routledge.

https://doi.org/10.4324/9780203854693

Ranjit, Y. S., Shin, H., First, J. M., & Houston, J. B. (2021). COVID-19 protective model: the role of threat perceptions and informational cues in influencing behavior. Journal of Risk Research, 24(3-4), 449-465.

https://doi.org/10.1080/13669877.2021.1887328

Rooke, M. (2021). Alternative media framing of COVID-19 risks. Current Sociology, 69(4), 584-602. https://doi.org/10.1177/00113921211006115

Rusho, M. A., Ahmed, M. A., & Sadri, A. M. (2021). Social Media Response and Crisis Communications in Active Shootings during COVID-19 Pandemic. Transportation Research Interdisciplinary Perspectives, 100420. https://doi.org/10.1016/j.trip.2021.100420

Seale, C. (2003). Media and health. Sage. https://doi.org/10.4135/9781446216286

Sell, T. K., Watson, C., Meyer, D., Kronk, M., Ravi, S., Pechta, L. E., Lubell, K. M., & Rose, D. A. (2018). Frequency of risk-related news media messages in 2016 coverage of Zika Virus. Risk analysis: an official publication of the Society for Risk Analysis, 38(12), 2514-2524. https://doi.org/10.1111/risa.12961

Song, Y., Kwon, K. H., Lu, Y., Fan, Y., & Li, B. (2021). The "parallel pandemic" in the context of china: the spread of rumors and rumor-corrections during COVID-19 in Chinese social media. American Behavioral Scientist, 00027642211003153

Thrasher, J. F., Swayampakala, K., Borland, R., Nagelhout, G., Yong, H. H., Hammond, D., Bansal-Travers, M., Thompson, M., & Hardin, J. (2016). Influences of Self-Efficacy, Response Efficacy, and Reactance on Responses to Cigarette Health Warnings: A Longitudinal Study of Adult Smokers in Australia and Canada. Health communication, 31(12), 1517-1526. https://doi.org/10.1080/10410236.2015.1089456

Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communications Monographs, 59(4), 329-349.

https://doi.org/10.1080/03637759209376276

WHO. (2022). WHO coronavirus (COVID-19) dashboard. Retrieved from https://covid19.who.int/region/afro/country/ke

WHO. (2022). WHO coronavirus (COVID-19) dashboard. Retrieved from https://covid19.who.int/

WHO. (2021). Kenya receives COVID-19 vaccines and launches landmark national campaign. Retrieved from https://www.afro.who.int/news/kenya-receives-covid-19-vaccines-and-launches-landmark-national-campaign

World Health Organization. (2022b). WHO coronavirus (COVID-19) dashboard. Retrieved from https://covid19.who.int/region/afro/country/ke

Published

2025-03-12

How to Cite

Ngure, F. N., Mberia, H., & Muchiri, J. (2025). The Effects of Perceived Efficacy Beliefs in Covid-19 Television Messages on Vaccine Adoption Behavior Among Youths in Kiambu County, Kenya. African Journal of Empirical Research, 6(1), 726–735. https://doi.org/10.51867/ajernet.6.1.62