Predictors of VAEs.

<div><p>Background</p><p>There is a paucity of research regarding COVID-19 vaccines administration errors (VAEs) during the COVID-19 pandemic. This study aimed to investigate the prevalence, types, severity, causes and predictors of VAEs in Jordan during the recent pandemic.&...

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Bibliographic Details
Main Author:	Derar H. Abdel-Qader (12353565) (author)
Other Authors:	Hasan Abdel-Qader (20500856) (author), Jennifer Silverthorne (20500859) (author), Chuenjid Kongkaew (5022584) (author), Moh’d Al Nimrawi (20500862) (author), Ahmad Z. Al Meslamani (12353568) (author), Nathir M. Obeidat (16275021) (author), Wail Hayajneh (4921093) (author), Feras Hawari (4321159) (author), Souraya Z. Arabi (20500865) (author), Salahdein AbuRuz (13924401) (author)
Published:	2025
Subjects:	Medicine Pharmacology Infectious Diseases multivariable logistic models compromised immunization efficacy 58 &# 8211 41 &# 8211 vaccination administration practices southern region compared peak hours compared errors &# 8217 research regarding covid involved direct observation vaccines administration errors related contributing factors 1 %), site jordan </ p 2 %) patient related factors administration process regular hours patient safety capital region 2 %), contextual factors observed errors 209 errors xlink "> third week study aimed standardized form recorded data previously reported november 2021 interruptions directly formulating strategies covert observers confidence intervals 9 %). 6 %) 19 pandemic 1 %).
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Predictors of VAEs.

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