Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaire

<h3>Background</h3><p dir="ltr">Since the emergence of the COVID-19 pandemic, vaccines have been developed to tackle the disease. However, many people worldwide were not confident enough to take the vaccines. Developing a questionnaire to measure COVID-19 vaccine hesitanc...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Hamed Hammoud (9639309) (author)
مؤلفون آخرون: Soha S. Albayat (17430936) (author), Jesha Mundodan (17869370) (author), Saif Alateeg (17869373) (author), Nada Adli (15898914) (author), Doaa Sabir (17869376) (author), Tasneem Bendari (17869379) (author), Hamad E. Al-Romaihi (9913221) (author), Iheb Bougmiza (8962583) (author)
منشور في: 2023
الموضوعات:
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
_version_ 1864513528828788736
author Hamed Hammoud (9639309)
author2 Soha S. Albayat (17430936)
Jesha Mundodan (17869370)
Saif Alateeg (17869373)
Nada Adli (15898914)
Doaa Sabir (17869376)
Tasneem Bendari (17869379)
Hamad E. Al-Romaihi (9913221)
Iheb Bougmiza (8962583)
author2_role author
author
author
author
author
author
author
author
author_facet Hamed Hammoud (9639309)
Soha S. Albayat (17430936)
Jesha Mundodan (17869370)
Saif Alateeg (17869373)
Nada Adli (15898914)
Doaa Sabir (17869376)
Tasneem Bendari (17869379)
Hamad E. Al-Romaihi (9913221)
Iheb Bougmiza (8962583)
author_role author
dc.creator.none.fl_str_mv Hamed Hammoud (9639309)
Soha S. Albayat (17430936)
Jesha Mundodan (17869370)
Saif Alateeg (17869373)
Nada Adli (15898914)
Doaa Sabir (17869376)
Tasneem Bendari (17869379)
Hamad E. Al-Romaihi (9913221)
Iheb Bougmiza (8962583)
dc.date.none.fl_str_mv 2023-08-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.jvacx.2023.100286
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Development_and_validation_of_a_multi-dimensional_COVID-19_vaccine_hesitancy_questionnaire/25107611
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Clinical sciences
Immunology
Health sciences
Epidemiology
Public health
COVID-19
Vaccine hesitancy
Vaccine Confidence
Validation
Factor analysis
Vaccine hesitancy scale
dc.title.none.fl_str_mv Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaire
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Background</h3><p dir="ltr">Since the emergence of the COVID-19 pandemic, vaccines have been developed to tackle the disease. However, many people worldwide were not confident enough to take the vaccines. Developing a questionnaire to measure COVID-19 vaccine hesitancy will give the health authorities and policymakers a clear picture to establish appropriate interventions addressing vaccine hesitancy among the community.</p><h3>Methods</h3><p dir="ltr">In this study, we used a mixed-method design over two phases. Phase 1 entailed a qualitative approach to developing the questionnaire, including a literature search, expert panel review, and focus group discussion. Phase 2 used a quantitative method for establishing the content and construct validity of the questionnaire via exploratory and confirmatory factor analysis (EFA & CFA). Internal consistency was checked using Cronbach's Alpha and intraclass correlation coefficient.</p><h3>Results</h3><p dir="ltr">We developed a 50-item instrument designed to measure COVID-19 vaccine hesitancy among adults in the state of Qatar. The study involved 545 adult participants. In terms of content validity, our study showed a value of 0.92 for the scale-level content validity index based on the average and a value of 0.76 for the scale-level content validity index - universal agreement. In the EFA, the Kaiser-Meyer-Olkin measure of sampling adequacy was calculated at 0.78, with statistical significance (P = 0.001). Regarding model fit indices of the seven-factor model, our findings showed an acceptable model-data-fit, with a relative chi-square: 1.7 (<3), Root mean square error of approximation: 0.05 (<0.08), PCLOSE = 0.41, Comparative fit index: 0.909, Tucker-Lewis index: 0.902, Incremental Fit Index: 0.910 and, Standardized Root mean square residual: 0.067 (<0.08). The seven-factor model of the questionnaire met the criterion of good internal consistency (Cronbach's alpha = 0.73).</p><h3>Conclusion</h3><p dir="ltr">This tool is deemed of methodological merits in terms of validity, reliability, and determining the underlying conceptual structure of COVID-19 vaccine hesitancy and its associating factors.</p><h2>Other Information</h2><p dir="ltr">Published in: Vaccine: X<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jvacx.2023.100286" target="_blank">https://dx.doi.org/10.1016/j.jvacx.2023.100286</a></p>
eu_rights_str_mv openAccess
id Manara2_ecd965031453aafad05bcf49afb8bcbc
identifier_str_mv 10.1016/j.jvacx.2023.100286
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25107611
publishDate 2023
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaireHamed Hammoud (9639309)Soha S. Albayat (17430936)Jesha Mundodan (17869370)Saif Alateeg (17869373)Nada Adli (15898914)Doaa Sabir (17869376)Tasneem Bendari (17869379)Hamad E. Al-Romaihi (9913221)Iheb Bougmiza (8962583)Biomedical and clinical sciencesClinical sciencesImmunologyHealth sciencesEpidemiologyPublic healthCOVID-19Vaccine hesitancyVaccine ConfidenceValidationFactor analysisVaccine hesitancy scale<h3>Background</h3><p dir="ltr">Since the emergence of the COVID-19 pandemic, vaccines have been developed to tackle the disease. However, many people worldwide were not confident enough to take the vaccines. Developing a questionnaire to measure COVID-19 vaccine hesitancy will give the health authorities and policymakers a clear picture to establish appropriate interventions addressing vaccine hesitancy among the community.</p><h3>Methods</h3><p dir="ltr">In this study, we used a mixed-method design over two phases. Phase 1 entailed a qualitative approach to developing the questionnaire, including a literature search, expert panel review, and focus group discussion. Phase 2 used a quantitative method for establishing the content and construct validity of the questionnaire via exploratory and confirmatory factor analysis (EFA & CFA). Internal consistency was checked using Cronbach's Alpha and intraclass correlation coefficient.</p><h3>Results</h3><p dir="ltr">We developed a 50-item instrument designed to measure COVID-19 vaccine hesitancy among adults in the state of Qatar. The study involved 545 adult participants. In terms of content validity, our study showed a value of 0.92 for the scale-level content validity index based on the average and a value of 0.76 for the scale-level content validity index - universal agreement. In the EFA, the Kaiser-Meyer-Olkin measure of sampling adequacy was calculated at 0.78, with statistical significance (P = 0.001). Regarding model fit indices of the seven-factor model, our findings showed an acceptable model-data-fit, with a relative chi-square: 1.7 (<3), Root mean square error of approximation: 0.05 (<0.08), PCLOSE = 0.41, Comparative fit index: 0.909, Tucker-Lewis index: 0.902, Incremental Fit Index: 0.910 and, Standardized Root mean square residual: 0.067 (<0.08). The seven-factor model of the questionnaire met the criterion of good internal consistency (Cronbach's alpha = 0.73).</p><h3>Conclusion</h3><p dir="ltr">This tool is deemed of methodological merits in terms of validity, reliability, and determining the underlying conceptual structure of COVID-19 vaccine hesitancy and its associating factors.</p><h2>Other Information</h2><p dir="ltr">Published in: Vaccine: X<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jvacx.2023.100286" target="_blank">https://dx.doi.org/10.1016/j.jvacx.2023.100286</a></p>2023-08-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.jvacx.2023.100286https://figshare.com/articles/journal_contribution/Development_and_validation_of_a_multi-dimensional_COVID-19_vaccine_hesitancy_questionnaire/25107611CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/251076112023-08-01T00:00:00Z
spellingShingle Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaire
Hamed Hammoud (9639309)
Biomedical and clinical sciences
Clinical sciences
Immunology
Health sciences
Epidemiology
Public health
COVID-19
Vaccine hesitancy
Vaccine Confidence
Validation
Factor analysis
Vaccine hesitancy scale
status_str publishedVersion
title Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaire
title_full Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaire
title_fullStr Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaire
title_full_unstemmed Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaire
title_short Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaire
title_sort Development and validation of a multi-dimensional COVID-19 vaccine hesitancy questionnaire
topic Biomedical and clinical sciences
Clinical sciences
Immunology
Health sciences
Epidemiology
Public health
COVID-19
Vaccine hesitancy
Vaccine Confidence
Validation
Factor analysis
Vaccine hesitancy scale