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Preventive Implication of Ergonomic Hazard Exposures and Associated Factors Among Hospitals Cleaners in Ethiopia.

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Title: Preventive Implication of Ergonomic Hazard Exposures and Associated Factors Among Hospitals Cleaners in Ethiopia.
Authors: Tolera, Sina Temesgen1 (AUTHOR) sinatem3@gmail.com
Source: Inquiry (00469580). 4/8/2026, Vol. 63, p1-12. 12p.
Subject Terms: *Self-evaluation, *Academic medical centers, *Fatigue (Physiology), *Assistive technology, *Comparative studies, *Employees' workload, Public hospitals, Cross-sectional method, Goodness-of-fit tests, Health literacy, Ergonomics, Occupational hazards, Hospital housekeeping, Task performance, Health facility administration, Stretch (Physiology), Statistical sampling, Questionnaires, Logistic regression analysis, Multiple regression analysis, Standing position, Health, Interviewing, Descriptive statistics, Disease prevalence, Medical waste disposal, Work experience (Employment), Odds ratio, Work design, Muscle weakness, Occupational exposure, Statistics, Lifting & carrying (Human mechanics), Pain, Sleep deprivation, Confidence intervals, Data analysis software, Body movement, Posture, Industrial hygiene, Industrial safety, Shift systems
Geographic Terms: Ethiopia
Abstract: Cleaning industry is the place where the labor intensive, and high prevalence of ergonomic hazard exposures (EHE) were reported among hospital cleaners particularly in low-middle income countries. However, only few studies were conducted in eastern Ethiopia on preventive implication of EHE and its associated factors among hospital cleaners, which was the aim of this study. A hospital based cross section study design was conducted on 741 hospital cleaners from May to August 2023 in Ethiopia. Face-to-face interview was conducted. The study outcome, EHE was assessed by Nordic Questionaries. Data was coded, double-entered, checked, and cleaned using Epi-Data 3.1. After that, Stata 17MP was used to analysis data. Binary and multivariable logistic regression were applied to explore the relationship between EHE and predictors. The cut-point for multivariable analysis was p-value of.20 at a binary analysis. The crude odds ratio (COR) and adjusted odds ratio (AOR) with a 95% confidence interval (95% CI) was statistically declared. The current study found that self-reported EHE among hospitals cleaners was 40.35% (95% CI: 36.64-44.15). The main 5 leading causes of EHE among cleaners were pushing cleaning materials (55.79%), pulling cleaning materials (65.40%), lifting cleaning materials (58.50%), pushing waste materials (65.90%) and standing more than 4 h (57.60%). The model found that those have poor knowledge about EHE (AOR: 6.68; 95% CI: 2.83-15.76), those having greater than 6 years working services (AOR: 1.90; 95% CI: 1.12-3.21) and having workload (AOR: 2.98; 95% CI: 1.58-5.60) were more likely to exposed with ergonomic hazards. The concludes that nearly 4 out of 10 (roughly 40%) hospital cleaners in government hospitals in eastern Ethiopia experience EHE has significant, multifaceted implications for worker health, operational efficiency, and the healthcare system. It was found that poor knowledge about EHE, increasing in working service, working more than 8 h/day and workload were significantly associated with it. [ABSTRACT FROM AUTHOR]
Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Preventive Implication of Ergonomic Hazard Exposures and Associated Factors Among Hospitals Cleaners in Ethiopia.
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  Data: <searchLink fieldCode="AR" term="%22Tolera%2C+Sina+Temesgen%22">Tolera, Sina Temesgen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sinatem3@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Inquiry+%2800469580%29%22">Inquiry (00469580)</searchLink>. 4/8/2026, Vol. 63, p1-12. 12p.
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– Name: Abstract
  Label: Abstract
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  Data: Cleaning industry is the place where the labor intensive, and high prevalence of ergonomic hazard exposures (EHE) were reported among hospital cleaners particularly in low-middle income countries. However, only few studies were conducted in eastern Ethiopia on preventive implication of EHE and its associated factors among hospital cleaners, which was the aim of this study. A hospital based cross section study design was conducted on 741 hospital cleaners from May to August 2023 in Ethiopia. Face-to-face interview was conducted. The study outcome, EHE was assessed by Nordic Questionaries. Data was coded, double-entered, checked, and cleaned using Epi-Data 3.1. After that, Stata 17MP was used to analysis data. Binary and multivariable logistic regression were applied to explore the relationship between EHE and predictors. The cut-point for multivariable analysis was p-value of.20 at a binary analysis. The crude odds ratio (COR) and adjusted odds ratio (AOR) with a 95% confidence interval (95% CI) was statistically declared. The current study found that self-reported EHE among hospitals cleaners was 40.35% (95% CI: 36.64-44.15). The main 5 leading causes of EHE among cleaners were pushing cleaning materials (55.79%), pulling cleaning materials (65.40%), lifting cleaning materials (58.50%), pushing waste materials (65.90%) and standing more than 4 h (57.60%). The model found that those have poor knowledge about EHE (AOR: 6.68; 95% CI: 2.83-15.76), those having greater than 6 years working services (AOR: 1.90; 95% CI: 1.12-3.21) and having workload (AOR: 2.98; 95% CI: 1.58-5.60) were more likely to exposed with ergonomic hazards. The concludes that nearly 4 out of 10 (roughly 40%) hospital cleaners in government hospitals in eastern Ethiopia experience EHE has significant, multifaceted implications for worker health, operational efficiency, and the healthcare system. It was found that poor knowledge about EHE, increasing in working service, working more than 8 h/day and workload were significantly associated with it. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=192874188
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/00469580261439108
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
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        PageCount: 12
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    Subjects:
      – SubjectFull: Self-evaluation
        Type: general
      – SubjectFull: Academic medical centers
        Type: general
      – SubjectFull: Fatigue (Physiology)
        Type: general
      – SubjectFull: Assistive technology
        Type: general
      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Employees' workload
        Type: general
      – SubjectFull: Public hospitals
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Goodness-of-fit tests
        Type: general
      – SubjectFull: Health literacy
        Type: general
      – SubjectFull: Ergonomics
        Type: general
      – SubjectFull: Occupational hazards
        Type: general
      – SubjectFull: Hospital housekeeping
        Type: general
      – SubjectFull: Task performance
        Type: general
      – SubjectFull: Health facility administration
        Type: general
      – SubjectFull: Stretch (Physiology)
        Type: general
      – SubjectFull: Statistical sampling
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Multiple regression analysis
        Type: general
      – SubjectFull: Standing position
        Type: general
      – SubjectFull: Health
        Type: general
      – SubjectFull: Interviewing
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Disease prevalence
        Type: general
      – SubjectFull: Medical waste disposal
        Type: general
      – SubjectFull: Work experience (Employment)
        Type: general
      – SubjectFull: Odds ratio
        Type: general
      – SubjectFull: Work design
        Type: general
      – SubjectFull: Muscle weakness
        Type: general
      – SubjectFull: Occupational exposure
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Lifting & carrying (Human mechanics)
        Type: general
      – SubjectFull: Pain
        Type: general
      – SubjectFull: Sleep deprivation
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Body movement
        Type: general
      – SubjectFull: Posture
        Type: general
      – SubjectFull: Industrial hygiene
        Type: general
      – SubjectFull: Industrial safety
        Type: general
      – SubjectFull: Shift systems
        Type: general
      – SubjectFull: Ethiopia
        Type: general
    Titles:
      – TitleFull: Preventive Implication of Ergonomic Hazard Exposures and Associated Factors Among Hospitals Cleaners in Ethiopia.
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              M: 04
              Text: 4/8/2026
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              Y: 2026
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