The Effect of Digital Interventions on Public Adherence to Vaccination Programmes
DOI:
https://doi.org/10.69855/mgj.v2i1.117Keywords:
Digital Intervention, Vaccination Adherence, Knowledge, AttitudeAbstract
Digital interventions are increasingly emerging as innovative strategies to improve vaccination coverage. Purpose: study aims to further explore the influence of digital interventions on public compliance in vaccination programmes. Methods: The present study employed a quasi-experimental design to ascertain the impact of a digital intervention on vaccination compliance. Based on calculations using the Slovin formula with an error tolerance level of 5%, the required sample size was determined to be 400 respondents. Data were collected through an online survey before and after the intervention to assess changes in vaccination adherence. Data were analysed using inferential statistical methods, employing a logistic regression test to evaluate the relationship between the digital intervention and vaccination adequacy. Result: results showed that digital interventions had a significant effect on improving vaccination compliance from 55% to 78% (+23%, p 0.001) after the digital intervention. In addition, the level of public knowledge about vaccines increased by 25%, Conclusion: that technology-based strategies can be an effective tool in disseminating accurate health Implication: These findings provide important implications for policymakers and health workers in developing more structured digital-based vaccination programmes, as well as provide strategic recommendations for stakeholders in improving the effectiveness of these strategies.
References
Amalia, R. Y., & Fauziah, S. (2019). Muslim Millennial Consumer Behaviour in Halal Certified Restaurants in Indonesia: Implementation of Ajzen's Theory of Planned Behaviour. JEBA (Journal of Economics and Business Aseanomics), 3(2). https://doi.org/10.33476/jeba.v3i2.960
Ansani, & Samsir, H. M. (2022). Bandura's Modelling Theory. Madani Multidisciplinary Journal, 2(7), 3067-3080. https://doi.org/10.55927/mudima.v2i7.692
Atkinson, K. M., Wilson, K., Murphy, M. S. Q., El-Halabi, S., Kahale, L. A., Laflamme, L. L., & El-Khatib, Z. (2019). Effectiveness of digital technologies at improving vaccine uptake and series completion - A systematic review and meta-analysis of randomised controlled trials. Vaccine, 37(23), 3050-3060. https://doi.org/10.1016/j.vaccine.2019.03.063
Erviana, D., & Azinar, M. (2022). Determinants of COVID-19 prevention behaviour among third trimester pregnant women. Higeia Journal of Public Health Research and Development, 362(3).
Hadjipanayis, A. (2019). Compliance with vaccination schedules. Human Vaccines & Immunotherapeutics, 15(4), 1003-1004. https://doi.org/10.1080/21645515.2018.1556078
Knight, H., Jia, R., Ayling, K., Bradbury, K., Baker, K., Chalder, T., Morling, J. R., Durrant, L., Avery, T., Ball, J. K., Barker, C., Bennett, R., McKeever, T., & Vedhara, K. (2021). Understanding and addressing vaccine hesitancy in the context of COVID-19: development of a digital intervention. Public Health, 201, 98-107. https://doi.org/10.1016/j.puhe.2021.10.006
Krystiane, H., Siqueira, C. M., Barbosa, L., Nicolau, A., Lima, T. M., Priscila, & Karina, A. (2022). Effect of educational intervention for compliance of school adolescents with the human papillomavirus vaccine. Revista Da Escola de Enfermagem Da Usp, 56. https://doi.org/10.1590/1980-220x-reeusp-2022-0082en
Li, L., Wood, C. E., & Kostkova, P. (2024). Evaluating a WeChat-Based Intervention to Enhance Influenza Vaccination Knowledge, Attitude, and Behaviour Among Chinese University Students Residing in the United Kingdom: A Controlled, Quasi-Experimental, Mixed Methods Study. JMIR Formative Research, 8, e55706. https://doi.org/10.2196/55706
Luz, P. M., Nadanovsky, P., & Leask, J. (2020). How heuristics and cognitive biases affect vaccination decisions. Cadernos de Saúde Pública, 36(suppl 2). https://doi.org/10.1590/0102-311x00136620
Marshall, N. J., Lee, J. L., Schroeder, J., Lee, W.-N., See, J., Madjid, M., Munagala, M. R., Piette, J., Tan, L. L. J., Vardeny, O., Greenberg, M., Liska, J., Mercer, M., & Samson, S. (2022). Influence of Digital Intervention Messaging on Influenza Vaccination Rates Among Adults With Cardiovascular Disease in the United States: Decentralised Randomised Controlled Trial. ProQuest, e38710. https://doi.org/10.2196/38710
Mechael, P. (2021). Assessing a suite of digital health interventions to improve immunisation services in Pakistan. Http://Isrctn.com/. https://doi.org/10.1186/isrctn23078223
Permatasari, B., Manilyn, C., & Ulyana Kesaulya, A. (2024). Application of Innovation Diffusion Theory to the Intention to Adopt the Use of Fashionable Medical Scrubs. TheJournalish: Social and Government, 4(1).
Said, A. H., Winskell, K., Bednarczyk, R. A., Reardon, E. E., & Vasudevan, L. (2024). Interactive Narrative-Based Digital Health Interventions for Vaccine Communication: Protocol for a Scoping Review. JMIR Research Protocols, 13, e51137-e51137. https://doi.org/10.2196/51137
Samodra, F. P. (2024, March 20). Health Belief Model is a Theory of How Individuals Believe in a Healthy Lifestyle. Liputan6.com; Liputan6. https://www.liputan6.com/hot/read/5554502/health-belief-model-adalah-teori-tentang-bagaimana-individu-mempercayai-gaya-hidup-sehat
Wang, Y., Fekadu, G., & Joyce. (2023). Cost-Effectiveness Analyses of Digital Health Technology for Improving the Uptake of Vaccination Programs: A Systematic Review. Journal of Medical Internet Research, 25, e45493-e45493. https://doi.org/10.2196/45493
Wilson, O. F., Mote, S. L., & Morse, B. L. (2022). Addressing vaccine hesitancy among students and families: Interventions for school nurses. NASN School Nurse, 38(3), 1942602X2211069. https://doi.org/10.1177/1942602x221106945
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Miracle Get Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.
