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Individual preferences for COVID-19 vaccination in China
BACKGROUND: Vaccinations are an effective choice to stop disease outbreaks, including COVID-19. There is little research on individuals' COVID-19 vaccination decision-making. OBJECTIVE: We aimed to determine individual preferences for COVID-19 vaccinations in China, and to assess the factors in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719001/ https://www.ncbi.nlm.nih.gov/pubmed/33328140 http://dx.doi.org/10.1016/j.vaccine.2020.12.009 |
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author | Leng, Anli Maitland, Elizabeth Wang, Siyuan Nicholas, Stephen Liu, Rugang Wang, Jian |
author_facet | Leng, Anli Maitland, Elizabeth Wang, Siyuan Nicholas, Stephen Liu, Rugang Wang, Jian |
author_sort | Leng, Anli |
collection | PubMed |
description | BACKGROUND: Vaccinations are an effective choice to stop disease outbreaks, including COVID-19. There is little research on individuals' COVID-19 vaccination decision-making. OBJECTIVE: We aimed to determine individual preferences for COVID-19 vaccinations in China, and to assess the factors influencing vaccination decision-making to facilitate vaccination coverage. METHODS: A D-efficient discrete choice experiment was conducted across six Chinese provinces selected by the stratified random sampling method. Vaccine choice sets were constructed using seven attributes: vaccine effectiveness, side-effects, accessibility, number of doses, vaccination sites, duration of vaccine protection, and proportion of acquaintances vaccinated. Conditional logit and latent class models were used to identify preferences. RESULTS: Although all seven attributes were proved to significantly influence respondents’ vaccination decision, vaccine effectiveness, side-effects and proportion of acquaintances vaccinated were the most important. We also found a higher probability of vaccinating when the vaccine was more effective; risks of serious side effects were small; vaccinations were free and voluntary; the fewer the number of doses; the longer the protection duration; and the higher the proportion of acquaintances vaccinated. Higher local vaccine coverage created altruistic herd incentives to vaccinate rather than free-rider problems. The predicted vaccination uptake of the optimal vaccination scenario in our study was 84.77%. Preference heterogeneity was substantial. Individuals who were older, had a lower education level, lower income, higher trust in the vaccine and higher perceived risk of infection, displayed a higher probability to vaccinate. CONCLUSIONS: Preference heterogeneity among individuals should lead health authorities to address the diversity of expectations about COVID-19 vaccinations. To maximize COVID-19 vaccine uptake, health authorities should promote vaccine effectiveness; pro-actively communicate the absence or presence of vaccine side effects; and ensure rapid and wide media communication about local vaccine coverage. |
format | Online Article Text |
id | pubmed-7719001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77190012020-12-07 Individual preferences for COVID-19 vaccination in China Leng, Anli Maitland, Elizabeth Wang, Siyuan Nicholas, Stephen Liu, Rugang Wang, Jian Vaccine Article BACKGROUND: Vaccinations are an effective choice to stop disease outbreaks, including COVID-19. There is little research on individuals' COVID-19 vaccination decision-making. OBJECTIVE: We aimed to determine individual preferences for COVID-19 vaccinations in China, and to assess the factors influencing vaccination decision-making to facilitate vaccination coverage. METHODS: A D-efficient discrete choice experiment was conducted across six Chinese provinces selected by the stratified random sampling method. Vaccine choice sets were constructed using seven attributes: vaccine effectiveness, side-effects, accessibility, number of doses, vaccination sites, duration of vaccine protection, and proportion of acquaintances vaccinated. Conditional logit and latent class models were used to identify preferences. RESULTS: Although all seven attributes were proved to significantly influence respondents’ vaccination decision, vaccine effectiveness, side-effects and proportion of acquaintances vaccinated were the most important. We also found a higher probability of vaccinating when the vaccine was more effective; risks of serious side effects were small; vaccinations were free and voluntary; the fewer the number of doses; the longer the protection duration; and the higher the proportion of acquaintances vaccinated. Higher local vaccine coverage created altruistic herd incentives to vaccinate rather than free-rider problems. The predicted vaccination uptake of the optimal vaccination scenario in our study was 84.77%. Preference heterogeneity was substantial. Individuals who were older, had a lower education level, lower income, higher trust in the vaccine and higher perceived risk of infection, displayed a higher probability to vaccinate. CONCLUSIONS: Preference heterogeneity among individuals should lead health authorities to address the diversity of expectations about COVID-19 vaccinations. To maximize COVID-19 vaccine uptake, health authorities should promote vaccine effectiveness; pro-actively communicate the absence or presence of vaccine side effects; and ensure rapid and wide media communication about local vaccine coverage. The Author(s). Published by Elsevier Ltd. 2021-01-08 2020-12-05 /pmc/articles/PMC7719001/ /pubmed/33328140 http://dx.doi.org/10.1016/j.vaccine.2020.12.009 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Leng, Anli Maitland, Elizabeth Wang, Siyuan Nicholas, Stephen Liu, Rugang Wang, Jian Individual preferences for COVID-19 vaccination in China |
title | Individual preferences for COVID-19 vaccination in China |
title_full | Individual preferences for COVID-19 vaccination in China |
title_fullStr | Individual preferences for COVID-19 vaccination in China |
title_full_unstemmed | Individual preferences for COVID-19 vaccination in China |
title_short | Individual preferences for COVID-19 vaccination in China |
title_sort | individual preferences for covid-19 vaccination in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719001/ https://www.ncbi.nlm.nih.gov/pubmed/33328140 http://dx.doi.org/10.1016/j.vaccine.2020.12.009 |
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