Personal protective equipment simulation training is associated with lower COVID-19 infection among healthcare workers
Einstein (Säo Paulo)
; 21: eAO0300, 2023. tab, graf
Article
in En
|
LILACS-Express
| LILACS
| ID: biblio-1440065
Responsible library:
BR1.1
ABSTRACT
ABSTRACT Objective To describe the personal protective equipment training strategies during the beginning of the pandemic and to investigate the association between training and COVID-19 infection among healthcare workers. Methods This cross-sectional study conducted between March and May 2020 included 7,142 healthcare professionals who were eligible for both online and face-to-face simulation-based training on personal protective equipment use. Simulation training attendance was assessed by reviewing the attendance list, and the COVID-19 sick leave records recovered from the institutional RT-PCR database used to grant sick leave. The association between personal protective equipment training and COVID-19 was investigated using logistic regression, adjusted for sociodemographic and occupational characteristics. Results The mean age was 36.9 years (± 8.3), and 72.6% of participants were female. A total of 5,502 (77.0%) professionals were trained 3,012 (54.7%) through online training, 691 (12.6%) through face-to-face training, and 1,799 (32.7%) through both strategies. During the study period, 584 (8.2%) COVID-19 cases were diagnosed among these professionals. The number of positive RT-PCR tests was 180 (11.0%) for untrained professionals, 245 (8.1%) for those trained only online, 35 (5.1%) for those trained face-to-face, and 124 (6.9%) for those trained with both strategies (p<0.001). Participants who received face-to-face training had a 0.43 lower risk of contracting COVID-19. Conclusion Personal protective equipment training decreased the odds of COVID-19 among healthcare professionals, with face-to-face simulation-based training being most effective.
Full text:
1
Collection:
01-internacional
Database:
LILACS
Type of study:
Observational_studies
/
Risk_factors_studies
Language:
En
Journal:
Einstein (Säo Paulo)
Journal subject:
MEDICINA
Year:
2023
Document type:
Article
Affiliation country:
Brazil