Evidence map›Paper›PMID 35691798›Full record

ArticleResearch in social & administrative pharmacy : RSAP2022

Acceptance and willingness to pay under the different COVID-19 vaccines: A contingent valuation method.

Vanida Prasert, Montarat Thavorncharoensap, Pasitpon Vatcharavongvan

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Article in Research in social & administrative pharmacy : RSAP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Vanida PrasertFaculty of Public Health and Allied Health Sciences, Praboromarajchanok Institute, Thailand. Electronic address: vanida@scphc.ac.th.
Montarat ThavorncharoensapDepartment of Pharmacy, Faculty of Pharmacy, Mahidol University, Thailand.
Pasitpon VatcharavongvanDepartment of Community Medicine and Family Medicine, Faculty of Medicine, Thammasat University, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectivesTo 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.

methodsWe 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.

resultsOf 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.

conclusionAcceptance 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.

Indexed as

COVID-19COVID-19 VaccinesCross-Sectional StudiesEducational StatusHumansSurveys and QuestionnairesVaccinationCOVID-19 VaccinesAcceptanceContingent valuation methodCovid-19VaccineWillingness to pay

Identifiers

PMID35691798
PMCPMC9167635

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.