Cargando…

Willingness to pay for COVID-19 vaccines: Applying the health belief model

BACKGROUND: To date, there is no effective treatment for COVID-19. Vaccines are effective and safe strategies to control the pandemic. OBJECTIVE: To measure consumers’ maximum willingness to pay (WTP) for COVID-19 vaccines in Jordan and to identify the predictors of WTP. METHOD: An online survey was...

Descripción completa

Detalles Bibliográficos
Autores principales: Arabyat, Rasha M., Nusair, Mohammad B., Al-Azzam, Sayer I., Amawi, Haneen A., El-Hajji, Feras Darwish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472461/
https://www.ncbi.nlm.nih.gov/pubmed/36153237
http://dx.doi.org/10.1016/j.sapharm.2022.09.003
_version_ 1784789308917415936
author Arabyat, Rasha M.
Nusair, Mohammad B.
Al-Azzam, Sayer I.
Amawi, Haneen A.
El-Hajji, Feras Darwish
author_facet Arabyat, Rasha M.
Nusair, Mohammad B.
Al-Azzam, Sayer I.
Amawi, Haneen A.
El-Hajji, Feras Darwish
author_sort Arabyat, Rasha M.
collection PubMed
description BACKGROUND: To date, there is no effective treatment for COVID-19. Vaccines are effective and safe strategies to control the pandemic. OBJECTIVE: To measure consumers’ maximum willingness to pay (WTP) for COVID-19 vaccines in Jordan and to identify the predictors of WTP. METHOD: An online survey was used to collect data related to sociodemographic factors and constructs from the Health Belief Model (HBM). The contingent valuation method using the payment card approach was used, whereby the respondents were asked to choose their maximum WTP value from a range of 5–200 Jordanian Dinar (JOD). The maximum WTP values were then categorized into several groups, and an ordered logistic model was used to generate adjusted odds ratios and estimate the significant predictors of maximum WTP. RESULTS: A total of 3116 respondents completed the survey. More than half of the sample were not willing to pay out of pocket for the vaccine (57%). Among the respondents who were willing to pay any amount above zero, the mean maximum WTP was 28.1 JOD (39.63 USD), and the median WTP was 20 JOD (28.21 USD). The significant predictors of higher WTP values were being of younger age, higher income, being a healthcare provider, having one or more chronic diseases, previous history of receiving the seasonal influenza vaccine, having a family member/friend who has died from the COVID-19, lower perceived risk of the vaccine, higher perceived benefits of the vaccine, and having been recommended to get the vaccine. CONCLUSION: It is recommended to continue providing the vaccine free of charge to increase its uptake. Educational campaigns should focus on refuting myths related to the vaccine and promoting the benefits of receiving the vaccine in slowing the spread of the pandemic, and improving the economy. Healthcare providers’ recommendations have the potential to increase WTP for the vaccine.
format Online
Article
Text
id pubmed-9472461
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier Inc.
record_format MEDLINE/PubMed
spelling pubmed-94724612022-09-14 Willingness to pay for COVID-19 vaccines: Applying the health belief model Arabyat, Rasha M. Nusair, Mohammad B. Al-Azzam, Sayer I. Amawi, Haneen A. El-Hajji, Feras Darwish Res Social Adm Pharm Article BACKGROUND: To date, there is no effective treatment for COVID-19. Vaccines are effective and safe strategies to control the pandemic. OBJECTIVE: To measure consumers’ maximum willingness to pay (WTP) for COVID-19 vaccines in Jordan and to identify the predictors of WTP. METHOD: An online survey was used to collect data related to sociodemographic factors and constructs from the Health Belief Model (HBM). The contingent valuation method using the payment card approach was used, whereby the respondents were asked to choose their maximum WTP value from a range of 5–200 Jordanian Dinar (JOD). The maximum WTP values were then categorized into several groups, and an ordered logistic model was used to generate adjusted odds ratios and estimate the significant predictors of maximum WTP. RESULTS: A total of 3116 respondents completed the survey. More than half of the sample were not willing to pay out of pocket for the vaccine (57%). Among the respondents who were willing to pay any amount above zero, the mean maximum WTP was 28.1 JOD (39.63 USD), and the median WTP was 20 JOD (28.21 USD). The significant predictors of higher WTP values were being of younger age, higher income, being a healthcare provider, having one or more chronic diseases, previous history of receiving the seasonal influenza vaccine, having a family member/friend who has died from the COVID-19, lower perceived risk of the vaccine, higher perceived benefits of the vaccine, and having been recommended to get the vaccine. CONCLUSION: It is recommended to continue providing the vaccine free of charge to increase its uptake. Educational campaigns should focus on refuting myths related to the vaccine and promoting the benefits of receiving the vaccine in slowing the spread of the pandemic, and improving the economy. Healthcare providers’ recommendations have the potential to increase WTP for the vaccine. Elsevier Inc. 2023-01 2022-09-13 /pmc/articles/PMC9472461/ /pubmed/36153237 http://dx.doi.org/10.1016/j.sapharm.2022.09.003 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
Arabyat, Rasha M.
Nusair, Mohammad B.
Al-Azzam, Sayer I.
Amawi, Haneen A.
El-Hajji, Feras Darwish
Willingness to pay for COVID-19 vaccines: Applying the health belief model
title Willingness to pay for COVID-19 vaccines: Applying the health belief model
title_full Willingness to pay for COVID-19 vaccines: Applying the health belief model
title_fullStr Willingness to pay for COVID-19 vaccines: Applying the health belief model
title_full_unstemmed Willingness to pay for COVID-19 vaccines: Applying the health belief model
title_short Willingness to pay for COVID-19 vaccines: Applying the health belief model
title_sort willingness to pay for covid-19 vaccines: applying the health belief model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472461/
https://www.ncbi.nlm.nih.gov/pubmed/36153237
http://dx.doi.org/10.1016/j.sapharm.2022.09.003
work_keys_str_mv AT arabyatrasham willingnesstopayforcovid19vaccinesapplyingthehealthbeliefmodel
AT nusairmohammadb willingnesstopayforcovid19vaccinesapplyingthehealthbeliefmodel
AT alazzamsayeri willingnesstopayforcovid19vaccinesapplyingthehealthbeliefmodel
AT amawihaneena willingnesstopayforcovid19vaccinesapplyingthehealthbeliefmodel
AT elhajjiferasdarwish willingnesstopayforcovid19vaccinesapplyingthehealthbeliefmodel