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Predictors of COVID-19 actual vaccine uptake in Hong Kong: A longitudinal population-based survey

PURPOSE OF THE RESEARCH: Identifying predictors of COVID-19 vaccine uptake decisions is central to the development of evidence-based strategies for promoting vaccination. This longitudinal study investigated the link between previous willingness to vaccinate and vaccine uptake decision, and examined...

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Autores principales: Yan, Elsie, Lai, Daniel W.L., Ng, Haze K.L., Lee, Vincent W.P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119715/
https://www.ncbi.nlm.nih.gov/pubmed/35620485
http://dx.doi.org/10.1016/j.ssmph.2022.101130
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author Yan, Elsie
Lai, Daniel W.L.
Ng, Haze K.L.
Lee, Vincent W.P.
author_facet Yan, Elsie
Lai, Daniel W.L.
Ng, Haze K.L.
Lee, Vincent W.P.
author_sort Yan, Elsie
collection PubMed
description PURPOSE OF THE RESEARCH: Identifying predictors of COVID-19 vaccine uptake decisions is central to the development of evidence-based strategies for promoting vaccination. This longitudinal study investigated the link between previous willingness to vaccinate and vaccine uptake decision, and examined potential predictors of vaccine uptake in Hong Kong. METHODS: A longitudinal telephone survey study was conducted using a population-based sample of Chinese adult residents (≥18 years) in Hong Kong. Data were collected at two time points: T1 (December 2020–January 2021) and T2 (June–July 2021). Primary outcome was vaccine uptake status; whilst independent variables and covariates included socio-demographic factors, COVID-19 related experiences, health beliefs, and perception, as well as vaccine related perceptions. RESULTS: Among the 1,003 participants, 23.7% had received a COVID-19 vaccine. Previous willingness to vaccinate did not predict vaccine uptake at later stage. Vaccine uptake by known others (aOR = 8.00), trust in authorities (aOR = 1.53), acceptability of non-pharmaceutical preventive measures (aOR = 2.96), and first-hand experience of COVID-19 (aOR = 1.32) were significant predictors of vaccine uptake after adjusting for confounding factors. CONCLUSIONS: Future strategies to promote vaccination may focus on building public trust in government and healthcare professional, and encouraging vaccinated individuals to share their vaccine uptake status via social networking.
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spelling pubmed-91197152022-05-20 Predictors of COVID-19 actual vaccine uptake in Hong Kong: A longitudinal population-based survey Yan, Elsie Lai, Daniel W.L. Ng, Haze K.L. Lee, Vincent W.P. SSM Popul Health Regular Article PURPOSE OF THE RESEARCH: Identifying predictors of COVID-19 vaccine uptake decisions is central to the development of evidence-based strategies for promoting vaccination. This longitudinal study investigated the link between previous willingness to vaccinate and vaccine uptake decision, and examined potential predictors of vaccine uptake in Hong Kong. METHODS: A longitudinal telephone survey study was conducted using a population-based sample of Chinese adult residents (≥18 years) in Hong Kong. Data were collected at two time points: T1 (December 2020–January 2021) and T2 (June–July 2021). Primary outcome was vaccine uptake status; whilst independent variables and covariates included socio-demographic factors, COVID-19 related experiences, health beliefs, and perception, as well as vaccine related perceptions. RESULTS: Among the 1,003 participants, 23.7% had received a COVID-19 vaccine. Previous willingness to vaccinate did not predict vaccine uptake at later stage. Vaccine uptake by known others (aOR = 8.00), trust in authorities (aOR = 1.53), acceptability of non-pharmaceutical preventive measures (aOR = 2.96), and first-hand experience of COVID-19 (aOR = 1.32) were significant predictors of vaccine uptake after adjusting for confounding factors. CONCLUSIONS: Future strategies to promote vaccination may focus on building public trust in government and healthcare professional, and encouraging vaccinated individuals to share their vaccine uptake status via social networking. Elsevier 2022-05-20 /pmc/articles/PMC9119715/ /pubmed/35620485 http://dx.doi.org/10.1016/j.ssmph.2022.101130 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Yan, Elsie
Lai, Daniel W.L.
Ng, Haze K.L.
Lee, Vincent W.P.
Predictors of COVID-19 actual vaccine uptake in Hong Kong: A longitudinal population-based survey
title Predictors of COVID-19 actual vaccine uptake in Hong Kong: A longitudinal population-based survey
title_full Predictors of COVID-19 actual vaccine uptake in Hong Kong: A longitudinal population-based survey
title_fullStr Predictors of COVID-19 actual vaccine uptake in Hong Kong: A longitudinal population-based survey
title_full_unstemmed Predictors of COVID-19 actual vaccine uptake in Hong Kong: A longitudinal population-based survey
title_short Predictors of COVID-19 actual vaccine uptake in Hong Kong: A longitudinal population-based survey
title_sort predictors of covid-19 actual vaccine uptake in hong kong: a longitudinal population-based survey
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119715/
https://www.ncbi.nlm.nih.gov/pubmed/35620485
http://dx.doi.org/10.1016/j.ssmph.2022.101130
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