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ArticleFrontiers in public health2025

Occupational health risk perceptions and determinants: knowledge and attitude of sanitary workers in public hospitals of Ethiopia.

Sina Temesgen Tolera, Tesfaye Gobena, Abraham Geremew, Elka Toseva, Nega Assefa

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sina Temesgen ToleraCollege of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Tesfaye GobenaCollege of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Abraham GeremewCollege of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Elka TosevaDepartment of Hygiene, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria.
Nega AssefaCollege of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Occupational health risks (OHRs) perception refer to an individual's subjective assessment of the likelihood and severity of potential health hazards within their workplace, which are influenced by their knowledge and attitude. The OHRs perceptions of sanitary workers (SWs) in Ethiopia have not yet been well studied. Therefore, this study aims to assess the knowledge and attitude of SWs about OHR perceptions and their determinants in public hospitals of eastern Ethiopia. Methods: A hospital-based cross-sectional study was conducted on a total of 809 SWs, which comprised face-to-face interviews. Knowledge items were measured by [YES/NO] and then categorized as "good" if they scored 16-20 points; "fair" if 10-15 points; and "poor" if < 10 points. On the other hand, attitude items were measured on Likert scales [strongly disagree (1) to strongly agree (5)] and classified as level 1: unfavorable; level 2: neutral; and level 3: favorable. Stata 17MP version was used for data analysis. The univariate analysis was applied for frequency, prevalence, media, and mean. Multilevel ordinal logistic regression was conducted for the predictions. Structural equation modeling (SEM) was used to determine the correlations between level of knowledge of and attitude toward OHRs perceptions as well as with their predictors. Result: This study found that the poor level of knowledge of and unfavorable attitude toward OHRs among SWs were 67.35 and 42.66%, respectively. The difference in knowledge of and attitude toward OHRs perceptions of SWs between hospitals was 19.34 and 39.55%, respectively. The final model showed that the variables trained on occupational health and safety [OHS] (AOR: 4.90; 3.10, 7.75), satisfied with job (AOR: 1.88; 1.10, 3.75), and satisfied with environment (AOR: 2.57; 1.09, 6.05) were significantly associated with higher knowledge levels about OHRs. However, SWs who were satisfied with environment (AOR: 2.67; 1.03, 6.92) and who follow good infection prevention and control (IPC) practice (AOR: 20.43; 15, 35.84) were significantly associated with a high level of attitude toward OHRs. SEM results showed that OHS training ( Conclusion: This study concluded that the majority of SWs had inadequate knowledge about and negative attitude toward OHRs perceptions. The following variables played the most significant role in predicting the SWs' knowledge of and attitude toward OHRs: OHS training, job and environmental satisfaction, safety measures, and job stress, which could be considered for further interventions.

Indexed as

Health Knowledge, Attitudes, PracticeHospitals, PublicOccupational HealthSanitationAdultCross-Sectional StudiesEthiopiaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adultattitudedeterminantsknowledgeoccupational healthrisksanitary workers

Identifiers

PMID40416666
PMCPMC12098515

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.