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Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample()
Vaccine hesitancy is a serious threat to global health; however, significant COVID-19 vaccine hesitancy exists throughout the United States. The 5C model, which postulates five person–level determinants for vaccine hesitancy – confidence, complacency, constraints, risk calculation, and collective re...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933856/ https://www.ncbi.nlm.nih.gov/pubmed/36809746 http://dx.doi.org/10.1016/j.jpsychires.2023.02.018 |
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author | Rancher, Caitlin Moreland, Angela D. Smith, Daniel W. Cornelison, Vickey Schmidt, Michael G. Boyle, John Dayton, James Kilpatrick, Dean G. |
author_facet | Rancher, Caitlin Moreland, Angela D. Smith, Daniel W. Cornelison, Vickey Schmidt, Michael G. Boyle, John Dayton, James Kilpatrick, Dean G. |
author_sort | Rancher, Caitlin |
collection | PubMed |
description | Vaccine hesitancy is a serious threat to global health; however, significant COVID-19 vaccine hesitancy exists throughout the United States. The 5C model, which postulates five person–level determinants for vaccine hesitancy – confidence, complacency, constraints, risk calculation, and collective responsibility – provides one theoretical way of understanding COVID-19 vaccine hesitancy. The present study examined the effects of these 5C drivers of vaccine behavior on early vaccine adoption and vaccine intentions above and beyond theoretically salient demographic characteristics and compared these associations across a National sample (n = 1634) and a statewide sample from South Carolina (n = 784) – a state with documented low levels of COVID-19 vaccination uptake. This study used quantitative and qualitative data collected in October 2020 to January 2021 from the MFour-Mobile Research Panel, a large, representative non-probability sample of adult smartphone users. Overall, the South Carolina sample reported lower COVID-19 vaccine intentions and higher levels of 5C barriers to vaccine uptake compared to the National sample. Findings further indicated that both demographic characteristics (race) and certain drivers of vaccine behavior (confidence and collective responsibility) are associated with vaccine trust and intentions across samples above and beyond other variables. Qualitative data indicated that COVID-19 vaccine hesitancy was driven by fears about the quick vaccine development, limited research, and potential side effects. Although there are some limitations to the cross-sectional survey data, the present study offers valuable insight into factors associated with early COVID-19 vaccine hesitancy across the United States. |
format | Online Article Text |
id | pubmed-9933856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99338562023-02-17 Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample() Rancher, Caitlin Moreland, Angela D. Smith, Daniel W. Cornelison, Vickey Schmidt, Michael G. Boyle, John Dayton, James Kilpatrick, Dean G. J Psychiatr Res Article Vaccine hesitancy is a serious threat to global health; however, significant COVID-19 vaccine hesitancy exists throughout the United States. The 5C model, which postulates five person–level determinants for vaccine hesitancy – confidence, complacency, constraints, risk calculation, and collective responsibility – provides one theoretical way of understanding COVID-19 vaccine hesitancy. The present study examined the effects of these 5C drivers of vaccine behavior on early vaccine adoption and vaccine intentions above and beyond theoretically salient demographic characteristics and compared these associations across a National sample (n = 1634) and a statewide sample from South Carolina (n = 784) – a state with documented low levels of COVID-19 vaccination uptake. This study used quantitative and qualitative data collected in October 2020 to January 2021 from the MFour-Mobile Research Panel, a large, representative non-probability sample of adult smartphone users. Overall, the South Carolina sample reported lower COVID-19 vaccine intentions and higher levels of 5C barriers to vaccine uptake compared to the National sample. Findings further indicated that both demographic characteristics (race) and certain drivers of vaccine behavior (confidence and collective responsibility) are associated with vaccine trust and intentions across samples above and beyond other variables. Qualitative data indicated that COVID-19 vaccine hesitancy was driven by fears about the quick vaccine development, limited research, and potential side effects. Although there are some limitations to the cross-sectional survey data, the present study offers valuable insight into factors associated with early COVID-19 vaccine hesitancy across the United States. Elsevier Ltd. 2023-04 2023-02-16 /pmc/articles/PMC9933856/ /pubmed/36809746 http://dx.doi.org/10.1016/j.jpsychires.2023.02.018 Text en © 2023 Elsevier Ltd. 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 Rancher, Caitlin Moreland, Angela D. Smith, Daniel W. Cornelison, Vickey Schmidt, Michael G. Boyle, John Dayton, James Kilpatrick, Dean G. Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample() |
title | Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample() |
title_full | Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample() |
title_fullStr | Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample() |
title_full_unstemmed | Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample() |
title_short | Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample() |
title_sort | using the 5c model to understand covid-19 vaccine hesitancy across a national and south carolina sample() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933856/ https://www.ncbi.nlm.nih.gov/pubmed/36809746 http://dx.doi.org/10.1016/j.jpsychires.2023.02.018 |
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