Development and validation of an Arabic tool for assessment of post-vaccination confidence in COVID-19 vaccines (ARAB-VAX-CONF)

Autor: Rowan Abuyadek, Samar Abd ElHafeez, Mohamed Mostafa Tahoun, Sally Samir Othman, Abdelrahman Omran, Naglaa Fathy, Ramy Mohamed Ghazy
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of the Egyptian Public Health Association, Vol 99, Iss 1, Pp 1-10 (2024)
Druh dokumentu: article
ISSN: 2090-262X
DOI: 10.1186/s42506-024-00174-8
Popis: Abstract Background Vaccine confidence is described as a belief that vaccines are effective, safe, and part of a trustworthy health system. The objective of this study was to develop and validate an Arabic tool to evaluate confidence in the received coronavirus disease 2019 (COVID-19) vaccines (ARAB-VAX-CONF). Methods The research team developed the ARAB-VAX-CONF based on three areas specified by the Centers for Disease Control and Prevention (CDC): confidence in vaccine effectiveness, confidence in vaccine safety, and confidence in the healthcare system. The analysis includes data from 406 eligible vaccinated persons (≥ 18 years). Cronbach’s alpha was used to measure internal consistency, while convergent, discriminant, exploratory, and confirmatory factor analyses were used to verify construct validity. Results A total of 406 adults were recruited, with a mean age of 33.0 ± 12.2 years. A total of 63.1% were males, 56.7% were married, 21.9% had chronic conditions, 93.3% were nonsmokers, and 39.6% were obligated to obtain vaccines. The three domains of the scale met the criterion of internal consistency (Cronbach’s alpha > 0.7). Convergent validity was identified by the significant inter-item and item-mean score of the domain correlation (P
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