تجاوز إلى المحتوى الرئيسي

Impact of Educational Intervention on Nurses Knowledge, Practice and Attitude Related Prevention Measures of COVID 19

Author name : ELASRAG ATTIA ABDELFATTAH GEIHAN
Publication Date : 2021-08-23
Journal Name : Indian Journal of Forensic Medicine & Toxicology

Abstract

Background: The COVID-19 pandemic has not only caused highly significant challenges for health
systems over the world, but also fueled a surge in misinformation. Nurses as the first member at health team
must improve their performance about COVID-19 Research Aim: to assess impact of educational program
on nurses’ knowledge, practice and attitude related prevention measures of COVID 19 Methodology: A
Quasi-experimental research design was utilized from July 2020- November 2020 conducted at Shebin El
Koum teaching Hospital and Menofia University Hospital for 50 nurses. A self-administered questionnaire
containing four parts (characteristics, knowledge part, Attitude Rating Scale and nurses’ practice) Results:
The present study showed mean age of studied nurses was 34.80±4.99 years and 52% of them providing
care for COVID-19 patients. 70% of them had poor knowledge at pre intervention, while76% of them
had good knowledge at post intervention and only 6% had poor knowledge. Mean score of studied nurses
related total attitude at pre intervention was 13.70±3.45, while at post intervention was 25.18±3.66. Total
practice, showed that 36% of nurses had competent practice while 90% of them had competent practice at
post intervention with p value <0.01 Conclusions: To conclude, the present study reported that educational
training program had positive effect on nurses’ knowledge, attitude and practice so hypothesis was accepted.

Keywords

Knowledge, Attitude, Practice, Preventive Measure, COVID19

Publication Link

https://medicopublication.com/index.php/ijfmt/article/download/15751/14127/30812 Indian Journal of Forensic Medicine & Toxicology, July-September 2021, Vol. 15, No. 3 2939

Block_researches_list_suggestions

Suggestions to read

HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
“Synthesis and Characterization of SnO₂/α-Fe₂O₃, In₂O₃/α-Fe₂O₃, and ZnO/α-Fe₂O₃ Thin Films: Photocatalytic and Antibacterial Applications”
Asma Arfaoui
تواصل معنا