Prevalence of Work-Related Health Hazard and Associated Factors among Health Workers in Public Health Institutions of Gambella Town, Western Ethiopia: Cross-Sectional Survey

Background. Many health-related occupational hazards confront healthcare workers. Examining the prevalence of hazards enables to search for better risk management for healthcare workers because these workers are often the first point of interaction, particularly in resource-limited settings like Eth...

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Bibliographic Details
Published in:Journal of environmental and public health 2022-08, Vol.2022 (1), p.6224280-6224280
Main Authors: Ayenew, Ewnetu, Akafu, Wakuma, Wolde Daka, Dawit
Format: Article
Language:English
Subjects:
Cross-sectional studies
Data analysis
Data collection
Fatalities
Hazard assessment
Hazard identification
Health aspects
Health care
Health care facilities
Health facilities
Health hazards
Hepatitis B
Hepatitis C
HIV
Hospitals
Human immunodeficiency virus
Infections
Information management
Injuries
Leadership
Medical personnel
Microorganisms
Mortality
Night shifts
Occupational accidents
Occupational exposure
Occupational hazards
Occupational health
Occupational safety
Personal protective equipment
Population
Professionals
Protective equipment
Public health
Questionnaires
Risk management
Risk reduction
Sampling techniques
Surveys
Viruses
Workers
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Summary:Background. Many health-related occupational hazards confront healthcare workers. Examining the prevalence of hazards enables to search for better risk management for healthcare workers because these workers are often the first point of interaction, particularly in resource-limited settings like Ethiopia. Therefore, this study assessed the prevalence of work-related occupational hazards and identified related factors among healthcare workers in public health facilities of Gambella town, Western Ethiopia. Methods. Institution-based cross-sectional study was conducted among 260 randomly selected healthcare workers from June 1-21, 2021. A semi structured tool was used to collect data and data analysis was performed using SPSS version 25. Multivariable logistic regression was used to identify the predictors of outcome variable and the significance of associations was declared by using a 95% CI and a p-value of
ISSN:1687-9805
1687-9813
DOI:10.1155/2022/6224280