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Measuring the importance of influencing factor for COVID-19 vaccination intention in China

BACKGROUND: Vaccination is considered an effective approach to deter the spread of coronavirus disease (COVID-19). However, vaccine hesitancy is a common issue that makes immunization programs more challenging. To promote vaccination in a targeted and efficient way, this study aims to develop and va...

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Autores principales: Su, Yue, Li, Sijia, Xue, Jia, Li, Ang, Zhu, Tingshao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335563/
https://www.ncbi.nlm.nih.gov/pubmed/37441653
http://dx.doi.org/10.3389/fpubh.2023.1191401
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author Su, Yue
Li, Sijia
Xue, Jia
Li, Ang
Zhu, Tingshao
author_facet Su, Yue
Li, Sijia
Xue, Jia
Li, Ang
Zhu, Tingshao
author_sort Su, Yue
collection PubMed
description BACKGROUND: Vaccination is considered an effective approach to deter the spread of coronavirus disease (COVID-19). However, vaccine hesitancy is a common issue that makes immunization programs more challenging. To promote vaccination in a targeted and efficient way, this study aims to develop and validate a measurement tool for evaluating the importance of influencing factors related to COVID-19 vaccination intention in China, and to examine the demographic differences. METHODS: In study 1, we developed a Factor Importance Evaluation Questionnaire (FIEQ) based on semi-structured interview results and used exploratory factor analysis (EFA) to explore its factor structure. In study 2, we verified the four-factor structure of FIEQ by confirmatory factor analysis (CFA). We then administered FIEQ to Chinese participants and conducted a student t-test and analysis of variance to examine the differences in the importance evaluation of factors based on gender and educational level. RESULTS: In study 1, we developed a four-factor construct and retained 20 items after EFA (N = 577), with acceptable reliability (alpha = 0.87) and validity. In study 2, we found that the model fit was good (χ2 = 748.03 (162), p < 0.001, GFI = 0.949, RMSEA = 0.049, SRMR = 0.048, AGFI = 0.934), and reliability was acceptable (alpha = 0.730) (N = 1,496). No gender difference was found in factor importance. However, individuals with different educational levels reported significantly different importance evaluations of three factors, including perceived benefits and social norms (F = 3.786, p = 0.005), perceived influences from reference groups (F = 17.449, p < 0.001), and perceived risks (F = 2.508, p = 0.04). CONCLUSION: This study developed and validated FIEQ for measuring the importance of influencing factors related to the COVID-19 vaccination intention in Chinese participants. Moreover, our findings suggest that the educational level may play a role in how individuals evaluate the importance of factors. This study provides insights into the concerns that individuals have regarding vaccination and offers potentially effective and targeted strategies for promoting COVID-19 vaccination.
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spelling pubmed-103355632023-07-12 Measuring the importance of influencing factor for COVID-19 vaccination intention in China Su, Yue Li, Sijia Xue, Jia Li, Ang Zhu, Tingshao Front Public Health Public Health BACKGROUND: Vaccination is considered an effective approach to deter the spread of coronavirus disease (COVID-19). However, vaccine hesitancy is a common issue that makes immunization programs more challenging. To promote vaccination in a targeted and efficient way, this study aims to develop and validate a measurement tool for evaluating the importance of influencing factors related to COVID-19 vaccination intention in China, and to examine the demographic differences. METHODS: In study 1, we developed a Factor Importance Evaluation Questionnaire (FIEQ) based on semi-structured interview results and used exploratory factor analysis (EFA) to explore its factor structure. In study 2, we verified the four-factor structure of FIEQ by confirmatory factor analysis (CFA). We then administered FIEQ to Chinese participants and conducted a student t-test and analysis of variance to examine the differences in the importance evaluation of factors based on gender and educational level. RESULTS: In study 1, we developed a four-factor construct and retained 20 items after EFA (N = 577), with acceptable reliability (alpha = 0.87) and validity. In study 2, we found that the model fit was good (χ2 = 748.03 (162), p < 0.001, GFI = 0.949, RMSEA = 0.049, SRMR = 0.048, AGFI = 0.934), and reliability was acceptable (alpha = 0.730) (N = 1,496). No gender difference was found in factor importance. However, individuals with different educational levels reported significantly different importance evaluations of three factors, including perceived benefits and social norms (F = 3.786, p = 0.005), perceived influences from reference groups (F = 17.449, p < 0.001), and perceived risks (F = 2.508, p = 0.04). CONCLUSION: This study developed and validated FIEQ for measuring the importance of influencing factors related to the COVID-19 vaccination intention in Chinese participants. Moreover, our findings suggest that the educational level may play a role in how individuals evaluate the importance of factors. This study provides insights into the concerns that individuals have regarding vaccination and offers potentially effective and targeted strategies for promoting COVID-19 vaccination. Frontiers Media S.A. 2023-06-27 /pmc/articles/PMC10335563/ /pubmed/37441653 http://dx.doi.org/10.3389/fpubh.2023.1191401 Text en Copyright © 2023 Su, Li, Xue, Li and Zhu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Su, Yue
Li, Sijia
Xue, Jia
Li, Ang
Zhu, Tingshao
Measuring the importance of influencing factor for COVID-19 vaccination intention in China
title Measuring the importance of influencing factor for COVID-19 vaccination intention in China
title_full Measuring the importance of influencing factor for COVID-19 vaccination intention in China
title_fullStr Measuring the importance of influencing factor for COVID-19 vaccination intention in China
title_full_unstemmed Measuring the importance of influencing factor for COVID-19 vaccination intention in China
title_short Measuring the importance of influencing factor for COVID-19 vaccination intention in China
title_sort measuring the importance of influencing factor for covid-19 vaccination intention in china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335563/
https://www.ncbi.nlm.nih.gov/pubmed/37441653
http://dx.doi.org/10.3389/fpubh.2023.1191401
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