The Mediating Roles of Medical Mistrust, Knowledge, Confidence and Complacency of Vaccines in the Pathways from Conspiracy Beliefs to Vaccine Hesitancy

Background: Vaccine hesitancy, associated with medical mistrust, confidence, complacency and knowledge of vaccines, presents an obstacle to the campaign against the coronavirus disease 2019 (COVID-19). The relationship between vaccine hesitancy and conspiracy beliefs may be a key determinant of the...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiaoning Zhang, Yuqing Guo, Qiong Zhou, Zaixiang Tan, Junli Cao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	vaccine hesitancy conspiracy beliefs pathways confidence and complacency medical mistrust Medicine R
Acceso en línea:	https://doaj.org/article/8fc6aa64367b4e5d8927f6becd40e0d6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8fc6aa64367b4e5d8927f6becd40e0d6
record_format	dspace
spelling	oai:doaj.org-article:8fc6aa64367b4e5d8927f6becd40e0d62021-11-25T19:11:28ZThe Mediating Roles of Medical Mistrust, Knowledge, Confidence and Complacency of Vaccines in the Pathways from Conspiracy Beliefs to Vaccine Hesitancy10.3390/vaccines91113422076-393Xhttps://doaj.org/article/8fc6aa64367b4e5d8927f6becd40e0d62021-11-01T00:00:00Zhttps://www.mdpi.com/2076-393X/9/11/1342https://doaj.org/toc/2076-393XBackground: Vaccine hesitancy, associated with medical mistrust, confidence, complacency and knowledge of vaccines, presents an obstacle to the campaign against the coronavirus disease 2019 (COVID-19). The relationship between vaccine hesitancy and conspiracy beliefs may be a key determinant of the success of vaccination campaigns. This study provides a conceptual framework to explain the impact of pathways from conspiracy beliefs to COVID-19 vaccine hesitancy with regard to medical mistrust, confidence, complacency and knowledge of vaccines. Methods: A non-probability study was conducted with 1015 respondents between 17 April and 28 May 2021. Conspiracy beliefs were measured using the coronavirus conspiracy scale of Coronavirus Explanations, Attitudes, and Narratives Survey (OCEANS), and vaccine conspiracy beliefs scale. Medical mistrust was measured using the Oxford trust in doctors and developers questionnaire, and attitudes to doctors and medicine scale. Vaccine confidence and complacency were measured using the Oxford COVID-19 vaccine confidence and complacency scale. Knowledge of vaccines was measured using the vaccination knowledge scale. Vaccine hesitancy was measured using the Oxford COVID-19 vaccine hesitancy scale. Confirmatory factor analysis (CFA) was used to evaluate the measurement models for conspiracy beliefs, medical mistrust, confidence, complacency, and knowledge of vaccines and vaccine hesitancy. The structural equation modeling (SEM) approach was used to analyze the direct and indirect pathways from conspiracy beliefs to vaccine hesitancy. Results: Of the 894 (88.1%) respondents who were willing to take the COVID-19 vaccine without any hesitancy, the model fit with the CFA models for conspiracy beliefs, medical mistrust, confidence, complacency and knowledge of vaccines, and vaccine hesitancy was deemed acceptable. Conspiracy beliefs had significant direct (<i>β</i> = 0.294), indirect (<i>β</i> = 0.423) and total (<i>β</i> = 0.717) effects on vaccine hesitancy; 41.0% of the total effect was direct, and 59.0% was indirect. Conspiracy beliefs significantly predicted vaccine hesitancy by medical mistrust (<i>β</i> = 0.210), confidence and complacency (<i>β</i> = 0.095), knowledge (<i>β</i> = 0.079) of vaccines, explaining 29.3, 11.0, and 13.2% of the total effects, respectively. Conspiracy beliefs significantly predicted vaccine hesitancy through the sequential mediation of knowledge of vaccines and medical mistrust (<i>β</i> = 0.016), explaining 2.2% of the total effects. Conspiracy beliefs significantly predicted vaccine hesitancy through the sequential mediation of confidence and complacency, and knowledge of vaccines (<i>β</i> = 0.023), explaining 3.2% of the total effects. The SEM approach indicated an acceptable model fit (χ<sup>2</sup>/df = 2.464, RMSEA = 0.038, SRMR = 0.050, CFI = 0.930, IFI = 0.930). Conclusions: The sample in this study showed lower vaccine hesitancy, and this study identified pathways from conspiracy beliefs to COVID-19 vaccine hesitancy in China. Conspiracy beliefs had direct and indirect effects on vaccine hesitancy, and the indirect association was determined through medical mistrust, confidence, complacency, and knowledge of vaccines. In addition, both direct and indirect pathways from conspiracy beliefs to vaccine hesitancy were identified as intervention targets to reduce COVID–19 vaccine hesitancy.Xiaoning ZhangYuqing GuoQiong ZhouZaixiang TanJunli CaoMDPI AGarticlevaccine hesitancyconspiracy beliefspathwaysconfidence and complacencymedical mistrustMedicineRENVaccines, Vol 9, Iss 1342, p 1342 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	vaccine hesitancy conspiracy beliefs pathways confidence and complacency medical mistrust Medicine R
spellingShingle	vaccine hesitancy conspiracy beliefs pathways confidence and complacency medical mistrust Medicine R Xiaoning Zhang Yuqing Guo Qiong Zhou Zaixiang Tan Junli Cao The Mediating Roles of Medical Mistrust, Knowledge, Confidence and Complacency of Vaccines in the Pathways from Conspiracy Beliefs to Vaccine Hesitancy
description	Background: Vaccine hesitancy, associated with medical mistrust, confidence, complacency and knowledge of vaccines, presents an obstacle to the campaign against the coronavirus disease 2019 (COVID-19). The relationship between vaccine hesitancy and conspiracy beliefs may be a key determinant of the success of vaccination campaigns. This study provides a conceptual framework to explain the impact of pathways from conspiracy beliefs to COVID-19 vaccine hesitancy with regard to medical mistrust, confidence, complacency and knowledge of vaccines. Methods: A non-probability study was conducted with 1015 respondents between 17 April and 28 May 2021. Conspiracy beliefs were measured using the coronavirus conspiracy scale of Coronavirus Explanations, Attitudes, and Narratives Survey (OCEANS), and vaccine conspiracy beliefs scale. Medical mistrust was measured using the Oxford trust in doctors and developers questionnaire, and attitudes to doctors and medicine scale. Vaccine confidence and complacency were measured using the Oxford COVID-19 vaccine confidence and complacency scale. Knowledge of vaccines was measured using the vaccination knowledge scale. Vaccine hesitancy was measured using the Oxford COVID-19 vaccine hesitancy scale. Confirmatory factor analysis (CFA) was used to evaluate the measurement models for conspiracy beliefs, medical mistrust, confidence, complacency, and knowledge of vaccines and vaccine hesitancy. The structural equation modeling (SEM) approach was used to analyze the direct and indirect pathways from conspiracy beliefs to vaccine hesitancy. Results: Of the 894 (88.1%) respondents who were willing to take the COVID-19 vaccine without any hesitancy, the model fit with the CFA models for conspiracy beliefs, medical mistrust, confidence, complacency and knowledge of vaccines, and vaccine hesitancy was deemed acceptable. Conspiracy beliefs had significant direct (<i>β</i> = 0.294), indirect (<i>β</i> = 0.423) and total (<i>β</i> = 0.717) effects on vaccine hesitancy; 41.0% of the total effect was direct, and 59.0% was indirect. Conspiracy beliefs significantly predicted vaccine hesitancy by medical mistrust (<i>β</i> = 0.210), confidence and complacency (<i>β</i> = 0.095), knowledge (<i>β</i> = 0.079) of vaccines, explaining 29.3, 11.0, and 13.2% of the total effects, respectively. Conspiracy beliefs significantly predicted vaccine hesitancy through the sequential mediation of knowledge of vaccines and medical mistrust (<i>β</i> = 0.016), explaining 2.2% of the total effects. Conspiracy beliefs significantly predicted vaccine hesitancy through the sequential mediation of confidence and complacency, and knowledge of vaccines (<i>β</i> = 0.023), explaining 3.2% of the total effects. The SEM approach indicated an acceptable model fit (χ<sup>2</sup>/df = 2.464, RMSEA = 0.038, SRMR = 0.050, CFI = 0.930, IFI = 0.930). Conclusions: The sample in this study showed lower vaccine hesitancy, and this study identified pathways from conspiracy beliefs to COVID-19 vaccine hesitancy in China. Conspiracy beliefs had direct and indirect effects on vaccine hesitancy, and the indirect association was determined through medical mistrust, confidence, complacency, and knowledge of vaccines. In addition, both direct and indirect pathways from conspiracy beliefs to vaccine hesitancy were identified as intervention targets to reduce COVID–19 vaccine hesitancy.
format	article
author	Xiaoning Zhang Yuqing Guo Qiong Zhou Zaixiang Tan Junli Cao
author_facet	Xiaoning Zhang Yuqing Guo Qiong Zhou Zaixiang Tan Junli Cao
author_sort	Xiaoning Zhang
title	The Mediating Roles of Medical Mistrust, Knowledge, Confidence and Complacency of Vaccines in the Pathways from Conspiracy Beliefs to Vaccine Hesitancy
title_short	The Mediating Roles of Medical Mistrust, Knowledge, Confidence and Complacency of Vaccines in the Pathways from Conspiracy Beliefs to Vaccine Hesitancy
title_full	The Mediating Roles of Medical Mistrust, Knowledge, Confidence and Complacency of Vaccines in the Pathways from Conspiracy Beliefs to Vaccine Hesitancy
title_fullStr	The Mediating Roles of Medical Mistrust, Knowledge, Confidence and Complacency of Vaccines in the Pathways from Conspiracy Beliefs to Vaccine Hesitancy
title_full_unstemmed	The Mediating Roles of Medical Mistrust, Knowledge, Confidence and Complacency of Vaccines in the Pathways from Conspiracy Beliefs to Vaccine Hesitancy
title_sort	mediating roles of medical mistrust, knowledge, confidence and complacency of vaccines in the pathways from conspiracy beliefs to vaccine hesitancy
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8fc6aa64367b4e5d8927f6becd40e0d6
work_keys_str_mv	AT xiaoningzhang themediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy AT yuqingguo themediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy AT qiongzhou themediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy AT zaixiangtan themediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy AT junlicao themediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy AT xiaoningzhang mediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy AT yuqingguo mediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy AT qiongzhou mediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy AT zaixiangtan mediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy AT junlicao mediatingrolesofmedicalmistrustknowledgeconfidenceandcomplacencyofvaccinesinthepathwaysfromconspiracybeliefstovaccinehesitancy
_version_	1718410169401999360

The Mediating Roles of Medical Mistrust, Knowledge, Confidence and Complacency of Vaccines in the Pathways from Conspiracy Beliefs to Vaccine Hesitancy

Ejemplares similares