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External validation of the parental attitude about childhood vaccination scale

INTRODUCTION: Internal validation techniques alone do not guarantee the value of a model. This study aims to investigate the external validity of the Parental Attitude toward Childhood Vaccination (PACV) scale for assessing parents’ attitude toward seasonal influenza vaccination. METHODS: Using a sn...

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Autores principales: Ghazy, Ramy Mohamed, Elkhadry, Sally Waheed, Abdel-Rahman, Suzan, Taha, Sarah Hamed N., Youssef, Naglaa, Elshabrawy, Abdelhamid, Ibrahim, Sarah Assem, Al Awaidy, Salah, Al-Ahdal, Tareq, Padhi, Bijaya Kumar, Fadl, Noha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228384/
https://www.ncbi.nlm.nih.gov/pubmed/37261239
http://dx.doi.org/10.3389/fpubh.2023.1146792
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author Ghazy, Ramy Mohamed
Elkhadry, Sally Waheed
Abdel-Rahman, Suzan
Taha, Sarah Hamed N.
Youssef, Naglaa
Elshabrawy, Abdelhamid
Ibrahim, Sarah Assem
Al Awaidy, Salah
Al-Ahdal, Tareq
Padhi, Bijaya Kumar
Fadl, Noha
author_facet Ghazy, Ramy Mohamed
Elkhadry, Sally Waheed
Abdel-Rahman, Suzan
Taha, Sarah Hamed N.
Youssef, Naglaa
Elshabrawy, Abdelhamid
Ibrahim, Sarah Assem
Al Awaidy, Salah
Al-Ahdal, Tareq
Padhi, Bijaya Kumar
Fadl, Noha
author_sort Ghazy, Ramy Mohamed
collection PubMed
description INTRODUCTION: Internal validation techniques alone do not guarantee the value of a model. This study aims to investigate the external validity of the Parental Attitude toward Childhood Vaccination (PACV) scale for assessing parents’ attitude toward seasonal influenza vaccination. METHODS: Using a snowball sampling approach, an anonymous online questionnaire was distributed in two languages (English and Arabic) across seven countries. To assess the internal validity of the model, the machine learning technique of “resampling methods” was used to repeatedly select various samples collected from Egypt and refit the model for each sample. The binary logistic regression model was used to identify the main determinants of parental intention to vaccinate their children against seasonal influenza. We adopted the original model developed and used its predictors to determine parents’ intention to vaccinate their children in Libya, Lebanon, Syria, Iraq, Palestine, and Sudan. The area under the curve (AUC) indicated the model’s ability to distinguish events from non-events. We visually compared the observed and predicted probabilities of parents’ intention to vaccinate their children using a calibration plot. RESULTS: A total of 430 parents were recruited from Egypt to internally validate the model, and responses from 2095 parents in the other six countries were used to externally validate the model. Multivariate regression analysis showed that the PACV score, child age (adolescence), and Coronavirus disease 2019 (COVID-19) vaccination in children were significantly associated with the intention to receive the vaccination. The AUC of the developed model was 0.845. Most of the predicted points were close to the diagonal line, demonstrating better calibration (the prediction error was 16.82%). The sensitivity and specificity of the externally validated model were 89.64 and 37.89%, respectively (AUC = 0.769). CONCLUSION: The PACV showed similar calibration and discrimination across the six countries. It is transportable and can be used to assess attitudes towards influenza vaccination among parents in different countries using either the Arabic or English version of the scale.
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spelling pubmed-102283842023-05-31 External validation of the parental attitude about childhood vaccination scale Ghazy, Ramy Mohamed Elkhadry, Sally Waheed Abdel-Rahman, Suzan Taha, Sarah Hamed N. Youssef, Naglaa Elshabrawy, Abdelhamid Ibrahim, Sarah Assem Al Awaidy, Salah Al-Ahdal, Tareq Padhi, Bijaya Kumar Fadl, Noha Front Public Health Public Health INTRODUCTION: Internal validation techniques alone do not guarantee the value of a model. This study aims to investigate the external validity of the Parental Attitude toward Childhood Vaccination (PACV) scale for assessing parents’ attitude toward seasonal influenza vaccination. METHODS: Using a snowball sampling approach, an anonymous online questionnaire was distributed in two languages (English and Arabic) across seven countries. To assess the internal validity of the model, the machine learning technique of “resampling methods” was used to repeatedly select various samples collected from Egypt and refit the model for each sample. The binary logistic regression model was used to identify the main determinants of parental intention to vaccinate their children against seasonal influenza. We adopted the original model developed and used its predictors to determine parents’ intention to vaccinate their children in Libya, Lebanon, Syria, Iraq, Palestine, and Sudan. The area under the curve (AUC) indicated the model’s ability to distinguish events from non-events. We visually compared the observed and predicted probabilities of parents’ intention to vaccinate their children using a calibration plot. RESULTS: A total of 430 parents were recruited from Egypt to internally validate the model, and responses from 2095 parents in the other six countries were used to externally validate the model. Multivariate regression analysis showed that the PACV score, child age (adolescence), and Coronavirus disease 2019 (COVID-19) vaccination in children were significantly associated with the intention to receive the vaccination. The AUC of the developed model was 0.845. Most of the predicted points were close to the diagonal line, demonstrating better calibration (the prediction error was 16.82%). The sensitivity and specificity of the externally validated model were 89.64 and 37.89%, respectively (AUC = 0.769). CONCLUSION: The PACV showed similar calibration and discrimination across the six countries. It is transportable and can be used to assess attitudes towards influenza vaccination among parents in different countries using either the Arabic or English version of the scale. Frontiers Media S.A. 2023-05-15 /pmc/articles/PMC10228384/ /pubmed/37261239 http://dx.doi.org/10.3389/fpubh.2023.1146792 Text en Copyright © 2023 Ghazy, Waheed Elkhadry, Abdel-Rahman, Taha, Youssef, Elshabrawy, Assem Ibrahim, Al Awaidy, Al-Ahdal, Padhi and Fadl. 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
Ghazy, Ramy Mohamed
Elkhadry, Sally Waheed
Abdel-Rahman, Suzan
Taha, Sarah Hamed N.
Youssef, Naglaa
Elshabrawy, Abdelhamid
Ibrahim, Sarah Assem
Al Awaidy, Salah
Al-Ahdal, Tareq
Padhi, Bijaya Kumar
Fadl, Noha
External validation of the parental attitude about childhood vaccination scale
title External validation of the parental attitude about childhood vaccination scale
title_full External validation of the parental attitude about childhood vaccination scale
title_fullStr External validation of the parental attitude about childhood vaccination scale
title_full_unstemmed External validation of the parental attitude about childhood vaccination scale
title_short External validation of the parental attitude about childhood vaccination scale
title_sort external validation of the parental attitude about childhood vaccination scale
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228384/
https://www.ncbi.nlm.nih.gov/pubmed/37261239
http://dx.doi.org/10.3389/fpubh.2023.1146792
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