Factors Associated with COVID-19 Vaccine Acceptance among Healthcare Professionals and Community Stakeholders in Hong Kong: A Cross-Sectional Study

Regina Lai Tong Lee (), Wai Tong Chien, Michelle Stubbs, Winnie Lai Sheung Cheng, Daniel Cheung Shing Chiu, Keith Hin Kee Fung, Ho Yu Cheng, Yuen Yu Chong and Anson Chui Yan Tang
Additional contact information
Regina Lai Tong Lee: The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
Wai Tong Chien: The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
Michelle Stubbs: School of Nursing and Midwifery, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan 2308, Australia
Winnie Lai Sheung Cheng: School of Nursing, Tung Wah College, Hong Kong
Daniel Cheung Shing Chiu: Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
Keith Hin Kee Fung: School of Nursing, The Hong Kong Polytechnic University, Hong Kong
Ho Yu Cheng: The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
Yuen Yu Chong: The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
Anson Chui Yan Tang: School of Nursing, Tung Wah College, Hong Kong

IJERPH, 2022, vol. 19, issue 21, 1-15

Abstract: Background: Acceptance of vaccination in both healthcare professionals and the general public in the community is vital for efficacious control of the virus. Vaccine acceptance associates with many factors. Little research has been dedicated to examining attitudes and behaviors of healthcare professionals and community stakeholders regarding COVID-19 vaccine acceptance in Hong Kong. Methods: An online cross-sectional survey was sent between February and April 2021 (N = 512). Multivariable regression modeling was used to identify associated variables with outcomes using adjusted odds ratios (AOR) and 95% of confidence intervals (CI). Results: Two demographic variables—age group of over 40 years old (40–59: ORm = 3.157, 95% CI = 2.090–4.467; 60 or over: ORm = 6.606, 95% CI = 2.513–17.360) and those who had previously received a flu vaccination (ORm = 1.537, 95% CI = 1.047–2.258)—were found to be associated with high vaccine intent. Adjusting for these two variables, the results showed that five factors on knowledge variables as perceived benefits for vaccine intent were statistically significant: “Closed area and social gathering are the major ways of SAR-CoV-2 transmission” (AOR = 4.688, 95% CI = 1.802–12.199), “The vaccine can strengthen my immunity against COVID-19, so as to reduce the chance of being infected with it” (AOR = 2.983, 95% CI = 1.904–4.674), “The vaccine can lower the risk of transmitting the viruses to my family and friends” (AOR = 2.276, 95% CI = 1.508–3.436), “The benefits of COVID-19 vaccination outweigh its harm” (AOR = 3.913, 95% CI = 2.618–5.847) and “Vaccination is an effective way to prevent COVID-19” (AOR = 3.810, 95% CI = 2.535–5.728). Conclusions: High vaccine intent was associated with age and having previously received a flu vaccination. Knowledge and attitudes of healthcare professionals and community stakeholders were associated with high vaccine intent. Training and continuing education programs for healthcare providers and community stakeholders focusing on the delivery of evidence-based data on the benefits of vaccination campaigns for populations to increase the vaccination rates is recommended.

Keywords: factors; vaccine acceptance; healthcare professionals; community stakeholders (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/21/14499/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/21/14499/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:21:p:14499-:d:963755

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().