External validation of the parental attitude about childhood vaccination scale

Frontiers in Public Health

Public Health

Sarah Assem Ibrahim¹  Suzan Abdel-Rahman¹  Abdelhamid Elshabrawy¹  Bijaya Kumar Padhi²  Naglaa Youssef³  Sally Waheed Elkhadry⁴  Noha Fadl⁵  Sarah Hamed N. Taha⁶  Salah Al Awaidy⁷  Tareq Al-Ahdal⁸  Ramy Mohamed Ghazy⁹ 

[1] Biostatistics and Demography Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt;Community Medicine and School of Public Health Department, Postgraduate Institute of Medical Education and Research, Chandigarh, India;Department of Medical-Surgical Nursing, College of Nursing, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia;Epidemiology and Preventive Medicine Department, National Liver Institute, Menoufia University, Menoufia, Egypt;Family Health Department, High Institute of Public Health, Alexandria University, Alexandria, Egypt;Forensic Medicine and Clinical Toxicology Department, Faculty of Medicine, Cairo University, Giza, Egypt;Health Affairs, Ministry of Health, Muscat, Oman;Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany;Tropical Health Department, High Institute of Public Health, Alexandria University, Alexandria, Egypt;

关键词: external validation;    calibration;    discrimination;    parental attitude about childhood vaccination;    seasonal influenza vaccine;   

DOI  :  10.3389/fpubh.2023.1146792

 received in 2023-01-17, accepted in 2023-04-14,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionInternal 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.MethodsUsing 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.ResultsA 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).ConclusionThe 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.

【 授权许可】

Unknown   
Copyright © 2023 Ghazy, Waheed Elkhadry, Abdel-Rahman, Taha, Youssef, Elshabrawy, Assem Ibrahim, Al Awaidy, Al-Ahdal, Padhi and Fadl.