Background: Work-related musculoskeletal disorder is a major and frequently underappreciated problem on people, countries, healthcare services, and society as a whole. Not only have detrimental health impacts, but it had considerable damage on healthcare services and costs.
Objective: The aim of this study was to determine the prevalence and factors associated with work-related musculoskeletal diseases among health care providers working in the operating room of University of Gondar comprehensive specialized hospital and Tibebe Ghion comprehensive specialized hospital, North West Ethiopia, 2021.
Method: Institution-based cross-sectional study was conducted on 394 healthcare providers. Purposive sampling was used to select the study participants. Data were collected through a self-administer questionnaire using the standard Nordic Musculoskeletal Questionnaire. Descriptive statistics and bivariate logistic regression were done to identify factors associated with work-related musculoskeletal disorders. Variables with P-value≤ 0.05 with 95% confidence interval in a multivariate model were taken as statistically significant. Finally, AOR with 95% confidence interval at a P-value<0.05 was reported.
Result: The prevalence of work-related musculoskeletal disorder among study participants was 64.2% with 95% CI: (59.4, 69.0). In multivariate logistic regression analysis; working overtime [AOR:1.74; 95% CI (1.05, 2.86)], previous history of MSD [AOR:6.85; 95%CI:(1.91, 22.7)], being diploma holder [AOR:5.27; 95% CI (1.12, 24.68)], being 1st degree holder [AOR:2.65; 95% CI (1.11, 6.28)], absence of assistance during procedures [AOR:1.73; 95% CI (1.02, 2.85)], and working in night shifts [AOR:1.72; 95% CI (1.08, 2.74)] were significantly associated with work related musculoskeletal disease among health care providers working in operation room.
Conclusion: A high proportion of hospital care providers working in the operation room reported MSD at different body parts. Lower back pain was the most often complained. Working overtime, not having assistance during procedures, educational status (diploma and 1st degree holder), and working at night shifts were statistically significant associated with musculoskeletal disorders.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608889 | PMC |
http://dx.doi.org/10.1016/j.amsu.2021.102989 | DOI Listing |
Cranio
January 2025
Institute of Dental Clinic, A. Gemelli University Policlinic IRCCS, Catholic University of Sacred Heart, Rome, Italy.
Objective: Dental professionals are highly vulnerable to work-related musculoskeletal disorders (WMSD). As females, who are more prone to WMSD, represent a growing proportion of the dental workforce, this study explored sex differences in WMSD-pain prevalence among dental students, and differentiated it between preclinical and clinical students.
Methods: A multi-center cross-sectional study was conducted among dental students at three U.
J Occup Environ Med
November 2024
Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland. (Dr Kalia, Dr Bernacki, Dr Tao); General Electric, Norwalk, Connecticut (Dr Kalia).
Disabil Rehabil Assist Technol
January 2025
Neurorehabilitation Engineering and Assistance Systems Research (NEAR), School of Mechanical Engineering, Universiti Sains Malaysia, Penang, Malaysia.
Work-related musculoskeletal disorders (WMSDs) during bed-to-wheelchair and wheelchair-to-commode transfers are a significant concern, yet prior assessments often focused on specific subtasks, overlooking potential cumulative risks. This study employed Xsens Inertial Measurement Units (IMUs) and force plates integrated with an automated Rapid Entire Body Assessment (REBA) system to provide a continuous and comprehensive evaluation of WMSDs risks associated with the use of a walking belt and a floor lift. The continuous assessment revealed peak REBA scores ranging from 8.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
: Long-term work-related musculoskeletal disorders are predominantly influenced by factors such as the duration, intensity, and repetitive nature of load lifting. Although traditional ergonomic assessment tools can be effective, they are often challenging and complex to apply due to the absence of a streamlined, standardized framework. Recently, integrating wearable sensors with artificial intelligence has emerged as a promising approach to effectively monitor and mitigate biomechanical risks.
View Article and Find Full Text PDFBr J Nurs
January 2025
Physiotherapist, AZ Alma Eeklo, Belgium.
In health care, work-related musculoskeletal disorders are largely attributed to patient-handling tasks. Reliable assessments of patient mobility are imperative to mitigate the musculoskeletal burden on healthcare providers. This study explores the reliability of MK5 Mobility Classes, a patient mobility classification system.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!