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Acceptance and willingness to pay under the different COVID-19 vaccines: A contingent valuation method
BACKGROUND: The COVID-19 vaccine is recognized as a novel tool in the battle against COVID-19. Recently, there were several types of vaccines that have a different effectiveness and safety profile. Understanding the vaccine acceptance and willingness to pay (WTP) are essential to develop a strategic...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167635/ https://www.ncbi.nlm.nih.gov/pubmed/35691798 http://dx.doi.org/10.1016/j.sapharm.2022.06.001 |
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author | Prasert, Vanida Thavorncharoensap, Montarat Vatcharavongvan, Pasitpon |
author_facet | Prasert, Vanida Thavorncharoensap, Montarat Vatcharavongvan, Pasitpon |
author_sort | Prasert, Vanida |
collection | PubMed |
description | BACKGROUND: The COVID-19 vaccine is recognized as a novel tool in the battle against COVID-19. Recently, there were several types of vaccines that have a different effectiveness and safety profile. Understanding the vaccine acceptance and willingness to pay (WTP) are essential to develop a strategic plan to increase the rate of COVID-19 vaccination uptake. OBJECTIVES: To assess the acceptance and WTP for a COVID-19 Vaccine in Thailand using the contingent valuation method (CVM). Additionally, to identify the factors that affect the acceptance and the amount of WTP for a COVID-19 Vaccine. METHODS: We conducted a cross-sectional survey using a payment card approach with open-ended questions during September 2021. Three hypothetical COVID-19 vaccines (Vaccines A, B, and C) in two scenarios were employed. Data were collected from 752 people. Multivariate logistic regression was performed to assess the predictors of vaccine acceptance. Multiple linear regression was used to analyze factors associated with the maximum amount WTP for a vaccine. RESULTS: Of 742 respondents, the highest acceptance was vaccine C (70.71%), followed by B (17.72%) and A (11.57%). Similarly, 53.87%, 41.44%, and 36.21% of the respondents expressed WTP for vaccine C, B and A, respectively. The maximum amount WTP for vaccine C was US$46, followed by B (US$35) and A (US$32). Factors affecting acceptance included monthly salary, region of residence, education, perceived risk of COVID-19 infection, knowledge and attitude about the COVID-19 vaccine. In addition, monthly salary, region of residence, education and knowledge on COVID-19 vaccine were related to maximum amount WTP. CONCLUSION: Acceptance and WTP depends on vaccine characteristics. Educational campaigns should be implemented to improve people's awareness, knowledge, and attitude towards COVID-19 vaccines to increase the vaccines' acceptance. To increase the rate of vaccination, the Thai government needs to allow freedom of choice on vaccines, while considering effectiveness and safety issues. |
format | Online Article Text |
id | pubmed-9167635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91676352022-06-07 Acceptance and willingness to pay under the different COVID-19 vaccines: A contingent valuation method Prasert, Vanida Thavorncharoensap, Montarat Vatcharavongvan, Pasitpon Res Social Adm Pharm Article BACKGROUND: The COVID-19 vaccine is recognized as a novel tool in the battle against COVID-19. Recently, there were several types of vaccines that have a different effectiveness and safety profile. Understanding the vaccine acceptance and willingness to pay (WTP) are essential to develop a strategic plan to increase the rate of COVID-19 vaccination uptake. OBJECTIVES: To assess the acceptance and WTP for a COVID-19 Vaccine in Thailand using the contingent valuation method (CVM). Additionally, to identify the factors that affect the acceptance and the amount of WTP for a COVID-19 Vaccine. METHODS: We conducted a cross-sectional survey using a payment card approach with open-ended questions during September 2021. Three hypothetical COVID-19 vaccines (Vaccines A, B, and C) in two scenarios were employed. Data were collected from 752 people. Multivariate logistic regression was performed to assess the predictors of vaccine acceptance. Multiple linear regression was used to analyze factors associated with the maximum amount WTP for a vaccine. RESULTS: Of 742 respondents, the highest acceptance was vaccine C (70.71%), followed by B (17.72%) and A (11.57%). Similarly, 53.87%, 41.44%, and 36.21% of the respondents expressed WTP for vaccine C, B and A, respectively. The maximum amount WTP for vaccine C was US$46, followed by B (US$35) and A (US$32). Factors affecting acceptance included monthly salary, region of residence, education, perceived risk of COVID-19 infection, knowledge and attitude about the COVID-19 vaccine. In addition, monthly salary, region of residence, education and knowledge on COVID-19 vaccine were related to maximum amount WTP. CONCLUSION: Acceptance and WTP depends on vaccine characteristics. Educational campaigns should be implemented to improve people's awareness, knowledge, and attitude towards COVID-19 vaccines to increase the vaccines' acceptance. To increase the rate of vaccination, the Thai government needs to allow freedom of choice on vaccines, while considering effectiveness and safety issues. Elsevier Inc. 2022-11 2022-06-05 /pmc/articles/PMC9167635/ /pubmed/35691798 http://dx.doi.org/10.1016/j.sapharm.2022.06.001 Text en © 2022 Elsevier Inc. All rights reserved. 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 Prasert, Vanida Thavorncharoensap, Montarat Vatcharavongvan, Pasitpon Acceptance and willingness to pay under the different COVID-19 vaccines: A contingent valuation method |
title | Acceptance and willingness to pay under the different COVID-19 vaccines: A contingent valuation method |
title_full | Acceptance and willingness to pay under the different COVID-19 vaccines: A contingent valuation method |
title_fullStr | Acceptance and willingness to pay under the different COVID-19 vaccines: A contingent valuation method |
title_full_unstemmed | Acceptance and willingness to pay under the different COVID-19 vaccines: A contingent valuation method |
title_short | Acceptance and willingness to pay under the different COVID-19 vaccines: A contingent valuation method |
title_sort | acceptance and willingness to pay under the different covid-19 vaccines: a contingent valuation method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167635/ https://www.ncbi.nlm.nih.gov/pubmed/35691798 http://dx.doi.org/10.1016/j.sapharm.2022.06.001 |
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