Predicting Factors of Intention to Vaccination against COVID-19 among Old Adult in Rural Communities

Authors

Keywords:

older adults, intention, vaccination against COVID-19

Abstract

This study aimed to examine the factors that predict the intention to vaccinate against COVID-19 among currently unvaccinated older adults from rural communities in Thailand. This research is a survey research, predictive correlation study design was collected from 97 older adults with a questionnaire. Factors associated with the intention to get the COVID-19 vaccination were estimated with stepwise multiple regression analysis.
The results showed that the sample group had a moderate intention of vaccination against COVID-19 (M = 13.4, SD = 5.26). Participants had low perceived benefits of vaccination and negative attitudes toward vaccination. Results show that subjective norm (β = .365, p < .001), perceived ability to control factors (β = .223, p = .017), perceived benefits of vaccination (β = .212, p < .001), and attitudes toward vaccination (β = -.144, p = .011) were predictive of the intention to vaccinate against COVID-19. (R2 = .442, p < .001)
The findings suggest healthcare professionals should consider these variables as a guideline for promoting higher levels of intention to receive the COVID-19 vaccine among older adults. It is necessary to increase the subjective norm, perceived ability to control factors and perceived benefits of getting vaccinated. In addition, improving patient attitudes will also increase the level of intention.

References

World Health Organization.Weekly epidemiological update on COVID-19 report;2022

Jangpakdee S, Prasertsong C, Kasiphol T. The Effects of Health Literacy Program on Covid-19 Prevention Behaviors Type 2 Diabetes Mellitus Patients. Journal of The Royal Thai Army Nurses. 2022;23(3): 333-41. (in Thai)

Department of Disease Control of Thailand 2022. The Coronavirus Disease 2019 Situation Report, Bangkong: Emergency Operations center; 2022. (in Thai)

Vanichaniramol S, Weerametachai S, Leesri Th. Risk Factors and Prognostic Retrospective Study of COVID-19 Morbidity among OPD Patients at Saraburi Hospital’s Triage Center: A 14-Day Post Diagnosis Study, Regional Health Promotion Center 9 Journal. 2022; 16(2):343-55. (in Thai)

National Statistical Office.The 2021 Survey of The Older Persons in Thailand Statistical Forecasting Division. Bangkok, Thailand; 2022. (in Thai)

Damayanthi H, Prabani K, Weerasekara I. Factors Associated for Mortality of Older People With COVID 19: A Systematic Review and Meta-analysis. Gerontol Geriatr Med. 2021;7: 23337214211057392.

Glomjai T, Kaewjiboon J, Chachvarat T. Knowledge and Behavior of People regarding Self-care Prevention from Novel Coronavirus 2019 (COVID-19). Journal of nursing and health research. 2020;21(2):29-39. (in Thai)

Kittipimpanon K, Maneesriwongul W, Butsing N, et al. COVID-19 Vaccine Literacy, Attitudes, and Vaccination Intention Against COVID-19 Among Thai Older Adults. Patient Prefer Adherence. 2022;16: 2365-74. (in Thai)

Khumsaen N. Knowledge, Attitudes, and Preventive Behaviors of COVID-19 among People Living in Amphoe U-thong, Suphanburi Province. Journal of Prachomklao College of Nursing. 2021;4(1):33-47.

Hayashi Y, Romanowich P, Hantula D. Predicting Intention to Take a COVID-19 Vaccine in the United States: Application and Extension of Theory of Planned Behavior, American Journal of Health Promotion. 2022;36(4):710-13.

Krongyuth P, Khumkaew J, Sarati P, Sukaree W. Factors Associated with the Intention to Receive Influenza Vaccination among Elderly People with Chronic diseases: Warinchamrab District, Ubon Ratchathani Province. Journal of Science & Technology MSU. 2018;37(6): 815-22. (in Thai)

Shmueli L. Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model. BMC Public Health.2021;(21) :1-13.

Zhou M, Liu L, Gu SY, et al. Behavioral Intention and Its Predictors toward COVID-19 Booster Vaccination among Chinese Parents: Applying Two Behavioral Theories. International Journal Environment Reseasch Public Health. 2022; 19(12):7520.

Pithayapibulpong T, Sungsittayakorn N, Chatchawansaisin K, Manasvanich B. Factors Associated with Herpes Zoster Vaccination in the Elderly. Journal of Primary Care and Family Medicine (PCFM). 2021;4(2) :155-66. (in Thai)

Ajzen I. The Theory of Planned Behaviour : Frequently asked questions. Homan Behavior and Emerging Technologies. 2020;2:314-24.

Cohen, J. Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.

Polit, D. and Beck, C. Nursing Research: Generating and Assessing Evidence for Nursing Practice. 8th Edition, Wolters Kluwer Health/Lippincott Williams & Wilkins, Philadelphia; 2008.

Stanley L, David W, Janelle K, Stephen K. Adequacy of sample size in health studies. Chichester: John Wiley & Sons. (1990).

World Health Organization. COVID-19 and mandatory vaccination: Ethical considerations; 2022.

Schoultz M, Ohman J, Quennerstedt M. A review of research on the relationship between learning and health for older adults, International Journal of Lifelong Education. 2020;39(5):528-44.

Wang Z, Fang Y, Yu F, Chan P, Chen S, Sun F. Facilitators and barriers to take up a COVID-19 vaccine booster dose among community welling older adults in Hong Kong: a population-basedrandom telephone survey. Vaccines. 2022;10(6):966.

Nikolovski J, Koldijk M, Weverling G, et al. Factors indicating intention to vaccinate with a COVID-19 vaccine among older U.S. adults. PLoS One. 2021;16(5):e0251963.

Wu L, Wang X, Li R, Huang Z, Guo X, Liu J, Yan H, Sun X. Willingness to Receive a COVID-19 Vaccine and Associated Factors among Older Adults: A Cross-Sectional Survey in Shanghai, China. Vaccines. 2022;10(5):654.

Issarasongkhram M. The Relation between the factors of motivations to COVID-19 prevention and access to vaccination service among elderly people. The Office of Disease Prevention and Control 10th Journal. 2021;19(2). 56-67. (in Thai)

Backer M. The Health Belief Model and personal health behavior. Health Education Monographs. 1974;2:324-508.

Bandura, A. Self-Efficacy: The Exercise of Control. W.H. Freeman and Company, New York. 1997

Serrano-Gemes G, Serrano-Del-Rosal R, Rich-Ruiz M. Experiences in the Decision-Making Regarding the Place of Care of the Elderly: A Systematic Review. Behav Sci (Basel). 2021; 11(2):14-23.

Zampetakis L, Melas C. The health beliefmodel predicts vaccination intentions against COVID-19: A survey experiment approach. Appl Psychol Health Well Being. 2021;13(2): 469-84.

Hayashi Y, Romanowich P, Hantula D. Predicting Intention to Take a COVID-19 Vaccine in the United States: Application and Extension of Theory of Planned Behavior. Am J Health Promote. 2022;36(4):710-3.

Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior. 173-221

Fernandes N, Costa D, Costa D, Keating J, Arantes J. Predicting COVID-19 Vaccination Intention: The Determinants of Vaccine Hesitancy. Vaccines (Basel). 2021;9(10):1161.

Yodmai K, Pechrapa K, Kittipichai W, Charupoonpol P, Suksatan W. Factors Associated with Good COVID-19 Preventive Behaviors Among Older Adults in Urban Communities in Thailand. J Prim Care Community Health.2021;12: 21501327211036251.

Downloads

Published

05-05-2023

How to Cite

1.
sangkhaphong A. Predicting Factors of Intention to Vaccination against COVID-19 among Old Adult in Rural Communities. J Royal Thai Army Nurses [Internet]. 2023 May 5 [cited 2024 Jul. 18];24(1):450-9. Available from: https://he01.tci-thaijo.org/index.php/JRTAN/article/view/261289

Issue

Section

Research Articles