Predictors of Knowledge about Health and Safety among Health Workers

Abstract: Health and safety are pivotal in ensuring the protection of healthcare workers (HCWs) and patients from occupational hazards and infectious diseases. This study employed a cross-sectional design to examine the predictors of knowledge about health and safety among HCWs at a tertiary healthcare institution in Northern Nigeria. A sample of 250 HCWs was selected using stratified random sampling across various departments including clinical, nursing, laboratory, and support services. Data were collected using a structured and pretested self-administered questionnaire. The questionnaire covered demographic details and knowledge of health and safety practices. Data were analyzed using SPSS version 25. Descriptive statistics, Chi-square tests, and logistic regression analyses were conducted. The results indicated significant associations between knowledge and factors such as age, type of organization, position held, and years of service. Particularly, HCWs aged 30-39 demonstrated higher knowledge levels, while those in the 40-49 age group and those employed as contractors or support staff showed poorer knowledge. The study underscores the importance of targeted interventions and continuous professional education to enhance health and safety knowledge among HCWs in Nigerian healthcare institutions. These findings have practical implications for policy makers, hospital administrators, and training institutions aiming to strengthen the health and safety culture within the healthcare system.

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Publication Details

Journal
International Journal of Latest Technology in Engineering Management & Applied Science
Published
2025-05-05
DOI
https://doi.org/10.51583/ijltemas.2025.140400032
Primary Topic
Occupational Health and Safety Research
Type
article
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article

Predictors of Knowledge about Health and Safety among Health Workers

Zafar Mahmood, M.N. Sambo, Adamu Alhaji, Prof. L.F. Buba
International Journal of Latest Technology in Engineering Management & Applied Science
Occupational Health and Safety Research
article

Predictors of Knowledge about Health and Safety among Health Workers

Zafar Mahmood, M.N. Sambo, Adamu Alhaji, Prof. L.F. Buba
article en

Abstract

Abstract: Health and safety are pivotal in ensuring the protection of healthcare workers (HCWs) and patients from occupational hazards and infectious diseases. This study employed a cross-sectional design to examine the predictors of knowledge about health and safety among HCWs at a tertiary healthcare institution in Northern Nigeria. A sample of 250 HCWs was selected using stratified random sampling across various departments including clinical, nursing, laboratory, and support services. Data were collected using a structured and pretested self-administered questionnaire. The questionnaire covered demographic details and knowledge of health and safety practices. Data were analyzed using SPSS version 25. Descriptive statistics, Chi-square tests, and logistic regression analyses were conducted. The results indicated significant associations between knowledge and factors such as age, type of organization, position held, and years of service. Particularly, HCWs aged 30-39 demonstrated higher knowledge levels, while those in the 40-49 age group and those employed as contractors or support staff showed poorer knowledge. The study underscores the importance of targeted interventions and continuous professional education to enhance health and safety knowledge among HCWs in Nigerian healthcare institutions. These findings have practical implications for policy makers, hospital administrators, and training institutions aiming to strengthen the health and safety culture within the healthcare system.

International Journal of Latest Technology in Engineering Management & Applied ScienceVol. 14(4)
Openalex Percentile: Top 87%
Occupational Health and Safety Research
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Predictors of Knowledge about Health and Safety among Health Workers — Zafar Mahmood, M.N. Sambo, et al. · International Journal of Latest Technology in Engineering Management & Applied Science (2025) | TGRS Research Map | TGRS