CC BY-NC-ND 4.0 · Ann Natl Acad Med Sci 2023; 59(04): 233-236
DOI: 10.1055/s-0043-1772218
Community Case Study

Effectiveness of Video-Based Educational Intervention on Knowledge, Attitude, and Practice (KAP) of COVID-19 Health Care Workers: Lesson for Future Pandemic Preparedness

1   Center for Diabetes, Endocrine and Metabolism, GTB Hospital, Dilshad Garden, Delhi, India
,
Binita Goswami
2   Department of Biochemistry, Maulana Azad Medical College, New Delhi, India
,
S.V. Madhu
3   Department of Endocrinology, Centre for Diabetes, Endocrine and Metabolism, GTB Hospital, Dilshad Garden, Delhi, India
› Author Affiliations
Funding This original research is not funded by any agency, neither national nor international.

Abstract

Introduction As we have seen from the previous health emergencies, most recently the COVID-19 pandemic, public health education is often the first line of defense in any disease prevention. Through a short educational video intervention, this study aims to improve the awareness regarding COVID-19 infection control practices to be followed in a clinical laboratory.

Methods An online pre- and posttest survey was conducted. After pretest, an educational video was shared among the study participants followed by post test survey. This questionnaire contains items on three domains: knowledge, safe laboratory practices, and attitude.

Results Significant improvement occurred in all three domains in study participants post educational intervention.

Conclusion Simple educational video intervention can substantially improve the readiness of frontline workers to deal with any kind of pandemic situation.

Authors' Contribution

S.G. prepared the questionnaire, collected the response from participants, analyzed the results, and drafted the manuscript. B.G. developed the original idea of research and guidance. S.V.M. contributed to proofreading of the manuscript and guidance.




Publication History

Article published online:
13 December 2023

© 2023. National Academy of Medical Sciences (India). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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