Staff View: Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia

Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia

Healthcare workers (HCWs) is the high-risk group for COVID-19 infection due to increased workplace exposure. However, evidence of the disease burden and factors associated with severe COVID-19 infection among HCWs is limited. Therefore, this article aims to describe the prevalence of severe COVID-19...

Full description

Saved in:

Bibliographic Details
Main Authors:	Lim, Kai Joo, Mohd Fazeli Sazali, Michelle Goroh, Abraham Chin Zefong, Marilyn Charlene Montini Maluda, Richard Avoi, Valentine Japulee Gantul
Format:	Article
Language:	English English
Published:	BioMed Central Ltd 2022
Subjects:	RA643-645 Disease (Communicable and noninfectious) and public health
Online Access:	https://eprints.ums.edu.my/id/eprint/36556/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/36556/2/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/36556/ https://doi.org/10.1186/s12913-022-08920-4
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.ums.eprints.36556
record_format	eprints
spelling	my.ums.eprints.365562023-08-21T07:24:37Z https://eprints.ums.edu.my/id/eprint/36556/ Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia Lim, Kai Joo Mohd Fazeli Sazali Michelle Goroh Abraham Chin Zefong Marilyn Charlene Montini Maluda Richard Avoi Valentine Japulee Gantul RA643-645 Disease (Communicable and noninfectious) and public health Healthcare workers (HCWs) is the high-risk group for COVID-19 infection due to increased workplace exposure. However, evidence of the disease burden and factors associated with severe COVID-19 infection among HCWs is limited. Therefore, this article aims to describe the prevalence of severe COVID-19 disease among HCWs in Sabah, Malaysia, and to determine the factors associated with severe COVID-19 infection. A retrospective cross-sectional study was carried out by assessing the data of COVID-19-infected HCWs in Sabah, Malaysia, from 1st March 2021 until 30th September 2021. Logistic regression analysis was used in this study. Three thousand and forty HCWs were diagnosed with COVID-19 from 1st March 2021 until 30th September 2021. Of the 3040 HCWs, 2948 (97.0%) HCWs were mild, whereas 92 (3.0%) were severe. The multivariate logistic regression model showed that severe COVID-19 among HCWs in Sabah was associated with those do not receive any COVID-19 vaccination (aOR 6.061, 95% CI 3.408 – 10.780), underlying co-morbidity (aOR 3.335, 95% CI 2.183 – 5.096), and female (aOR 1.833, 95% CI 1.090 – 3.081). HCWs should strictly adhere to preventive measures, including vaccination, personal protective equipment, and early referral to a physician upon identifying severe COVID-19 infection. Early screening and aggressive co-morbidity treatment among HCWs are essential for public health practitioners to prevent severe COVID-19 disease. Regardless of co-morbidity status, HCWs should stay up to date with COVID-19 vaccination, including booster doses. BioMed Central Ltd 2022-12-17 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/36556/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/36556/2/FULLTEXT.pdf Lim, Kai Joo and Mohd Fazeli Sazali and Michelle Goroh and Abraham Chin Zefong and Marilyn Charlene Montini Maluda and Richard Avoi and Valentine Japulee Gantul (2022) Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia. BMC Health Services Research, 22 (1541). pp. 1-8. ISSN 1472-6963 https://doi.org/10.1186/s12913-022-08920-4
institution	Universiti Malaysia Sabah
building	UMS Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sabah
content_source	UMS Institutional Repository
url_provider	http://eprints.ums.edu.my/
language	English English
topic	RA643-645 Disease (Communicable and noninfectious) and public health
spellingShingle	RA643-645 Disease (Communicable and noninfectious) and public health Lim, Kai Joo Mohd Fazeli Sazali Michelle Goroh Abraham Chin Zefong Marilyn Charlene Montini Maluda Richard Avoi Valentine Japulee Gantul Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia
description	Healthcare workers (HCWs) is the high-risk group for COVID-19 infection due to increased workplace exposure. However, evidence of the disease burden and factors associated with severe COVID-19 infection among HCWs is limited. Therefore, this article aims to describe the prevalence of severe COVID-19 disease among HCWs in Sabah, Malaysia, and to determine the factors associated with severe COVID-19 infection. A retrospective cross-sectional study was carried out by assessing the data of COVID-19-infected HCWs in Sabah, Malaysia, from 1st March 2021 until 30th September 2021. Logistic regression analysis was used in this study. Three thousand and forty HCWs were diagnosed with COVID-19 from 1st March 2021 until 30th September 2021. Of the 3040 HCWs, 2948 (97.0%) HCWs were mild, whereas 92 (3.0%) were severe. The multivariate logistic regression model showed that severe COVID-19 among HCWs in Sabah was associated with those do not receive any COVID-19 vaccination (aOR 6.061, 95% CI 3.408 – 10.780), underlying co-morbidity (aOR 3.335, 95% CI 2.183 – 5.096), and female (aOR 1.833, 95% CI 1.090 – 3.081). HCWs should strictly adhere to preventive measures, including vaccination, personal protective equipment, and early referral to a physician upon identifying severe COVID-19 infection. Early screening and aggressive co-morbidity treatment among HCWs are essential for public health practitioners to prevent severe COVID-19 disease. Regardless of co-morbidity status, HCWs should stay up to date with COVID-19 vaccination, including booster doses.
format	Article
author	Lim, Kai Joo Mohd Fazeli Sazali Michelle Goroh Abraham Chin Zefong Marilyn Charlene Montini Maluda Richard Avoi Valentine Japulee Gantul
author_facet	Lim, Kai Joo Mohd Fazeli Sazali Michelle Goroh Abraham Chin Zefong Marilyn Charlene Montini Maluda Richard Avoi Valentine Japulee Gantul
author_sort	Lim, Kai Joo
title	Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia
title_short	Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia
title_full	Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia
title_fullStr	Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia
title_full_unstemmed	Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia
title_sort	predictors of severe covid-19 among healthcare workers in sabah, malaysia
publisher	BioMed Central Ltd
publishDate	2022
url	https://eprints.ums.edu.my/id/eprint/36556/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/36556/2/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/36556/ https://doi.org/10.1186/s12913-022-08920-4
_version_	1775623869723312128
score	13.211869

Predictors of severe covid-19 among healthcare workers in Sabah, Malaysia

Similar Items