Ergonomic risk assessment of working postures of nurses working in a medical faculty hospital with REBA and RULA methods

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The aim of the study is to reach objective results about the ergonomic risks of nurses' working postures not only by using questionnaires but also by using Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment (RULA) methods, which are risk assessment methods used in engineering fields. This study is a cross-sectional study. First of all, 383 nurses were evaluated with a survey. 91.4% of the nurses were women and 6.5% were men. Average age (female: 38.20; male: 31.5), average weight (female: 65.60 kg; male: 81.50 kg), average height (female: 162.7 cm; male: 176.80 cm) and average body mass index (female: 24.80; male: 26) were calculated. In the hospital, which we grouped into in the hospital, which we divided into eight workstations, the REBA and RULA scores of the three nurses working at each workstation were calculated and the average REBA and RULA scores of the workstations were determined. The percentage of those who experienced musculoskeletal pain in the last 1 year at each workstation and the mean REBA-RULA scores were as follows; ward (92%; 6.92-5.69), operating room (98%; 10-7), emergency department (100%; 6.08-5.33), outpatient clinic (75%; 5.5-5.16), intensive care (94%; 6.21-5.57), administrative affairs (94%; 5-5), laboratory (95%; 5.80-5.2) and interventional procedure (92%; 6.4-5.4). In these stations, the highest scores were seen in the operating room. In the questionnaire, 92.46% of the nurses reported having complaints in at least one part of the musculoskeletal system in the last year. The hospital weighted mean score was REBA 6.86 and RULA 5.71. When REBA and RULA measurements were evaluated, it was determined that the risk in the departments where the nurses worked was generally at the medium risk level. REBA and RULA scores indicate that ergonomic changes and adjustments should be made. For this determination, the risks of working postures should be determined with quantitative methods.