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Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model

INTRODUCTION: It is essential to protect cancer patients from contracting COVID-19 through vaccination. A majority of cancer patients are recommended by international health authorities to take up the vaccines. COVID-19 vaccine refusal among cancer patients during the pandemic period is under-resear...

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Autores principales: Xie, Zhaomin, Lau, Joseph Tak-Fai, Liang, Yuanke, Ouyang, Qiaolei, Chen, Junjia, Lin, Si, Yao, Kaitao, Hu, Xuanyin, Lin, Haoyu, Yu, Yanqiu, Zeng, De
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435902/
https://www.ncbi.nlm.nih.gov/pubmed/37601174
http://dx.doi.org/10.3389/fpubh.2023.1236376
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author Xie, Zhaomin
Lau, Joseph Tak-Fai
Liang, Yuanke
Ouyang, Qiaolei
Chen, Junjia
Lin, Si
Yao, Kaitao
Hu, Xuanyin
Lin, Haoyu
Yu, Yanqiu
Zeng, De
author_facet Xie, Zhaomin
Lau, Joseph Tak-Fai
Liang, Yuanke
Ouyang, Qiaolei
Chen, Junjia
Lin, Si
Yao, Kaitao
Hu, Xuanyin
Lin, Haoyu
Yu, Yanqiu
Zeng, De
author_sort Xie, Zhaomin
collection PubMed
description INTRODUCTION: It is essential to protect cancer patients from contracting COVID-19 through vaccination. A majority of cancer patients are recommended by international health authorities to take up the vaccines. COVID-19 vaccine refusal among cancer patients during the pandemic period is under-researched. This study investigated factors of vaccine refusal based on the Health Belief Model (HBM). METHODS: A cross-sectional study was conducted among female breast cancer patients, male/female thyroid cancer patients, and gynecological cancer patients in Shantou, China from April to August 2022 (n = 1,115). Multinomial logistic regression analysis adjusted for socio-demographics was conducted to test factors of COVID-19. Adjusted odds ratios of the two models comparing vaccine refusal vs. “vaccine non-refusal” and vaccine refusal vs. ever-vaccination were derived and presented. RESULTS: Of all the participants, the prevalence of vaccine refusal, “vaccine non-refusal,” and ever-vaccination was 25.9, 22.2, and 51.8%, respectively. In both multinomial logistic regression models, significant factors of vaccine refusal included socio-demographics (age, education level, employment status, monthly household income, cancer type, duration since cancer diagnosis, current treatment status) and some vaccine-related HBM (perceived benefits, perceived barriers, cue to action, and self-efficacy). Perceived severity of COVID-19 was significant only in the vaccine refusal vs. ever-vaccination model. In neither model, perceived susceptibility to contract COVID-19 was statistically significant. CONCLUSION: About ¼ of the participants expressed vaccine refusal. Interventions are warranted. Future longitudinal studies are needed to verify this study’s findings. Pilot interventions should also be launched to test effectiveness of interventions modifying the significant HBM factors found in this study.
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spelling pubmed-104359022023-08-19 Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model Xie, Zhaomin Lau, Joseph Tak-Fai Liang, Yuanke Ouyang, Qiaolei Chen, Junjia Lin, Si Yao, Kaitao Hu, Xuanyin Lin, Haoyu Yu, Yanqiu Zeng, De Front Public Health Public Health INTRODUCTION: It is essential to protect cancer patients from contracting COVID-19 through vaccination. A majority of cancer patients are recommended by international health authorities to take up the vaccines. COVID-19 vaccine refusal among cancer patients during the pandemic period is under-researched. This study investigated factors of vaccine refusal based on the Health Belief Model (HBM). METHODS: A cross-sectional study was conducted among female breast cancer patients, male/female thyroid cancer patients, and gynecological cancer patients in Shantou, China from April to August 2022 (n = 1,115). Multinomial logistic regression analysis adjusted for socio-demographics was conducted to test factors of COVID-19. Adjusted odds ratios of the two models comparing vaccine refusal vs. “vaccine non-refusal” and vaccine refusal vs. ever-vaccination were derived and presented. RESULTS: Of all the participants, the prevalence of vaccine refusal, “vaccine non-refusal,” and ever-vaccination was 25.9, 22.2, and 51.8%, respectively. In both multinomial logistic regression models, significant factors of vaccine refusal included socio-demographics (age, education level, employment status, monthly household income, cancer type, duration since cancer diagnosis, current treatment status) and some vaccine-related HBM (perceived benefits, perceived barriers, cue to action, and self-efficacy). Perceived severity of COVID-19 was significant only in the vaccine refusal vs. ever-vaccination model. In neither model, perceived susceptibility to contract COVID-19 was statistically significant. CONCLUSION: About ¼ of the participants expressed vaccine refusal. Interventions are warranted. Future longitudinal studies are needed to verify this study’s findings. Pilot interventions should also be launched to test effectiveness of interventions modifying the significant HBM factors found in this study. Frontiers Media S.A. 2023-08-03 /pmc/articles/PMC10435902/ /pubmed/37601174 http://dx.doi.org/10.3389/fpubh.2023.1236376 Text en Copyright © 2023 Xie, Lau, Liang, Ouyang, Chen, Lin, Yao, Hu, Lin, Yu and Zeng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Xie, Zhaomin
Lau, Joseph Tak-Fai
Liang, Yuanke
Ouyang, Qiaolei
Chen, Junjia
Lin, Si
Yao, Kaitao
Hu, Xuanyin
Lin, Haoyu
Yu, Yanqiu
Zeng, De
Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model
title Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model
title_full Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model
title_fullStr Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model
title_full_unstemmed Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model
title_short Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model
title_sort prevalence and factors of covid-19 vaccine refusal among solid cancer patients in china: an application of the health belief model
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435902/
https://www.ncbi.nlm.nih.gov/pubmed/37601174
http://dx.doi.org/10.3389/fpubh.2023.1236376
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