Farshid Ali Arabian, Majid Motamedzade, Rostam Golmohammadi, Abbas Moghim Beigi, Fereshteh Pir Hayati,
Volume 1, Issue 1 (Journal of Ergonomics 2013)
Abstract
Introduction: One of the major problems in hospitals
leading to high prevalence of musculoskeletal disorders among the health staff
is associated with patients handling. This study was aimed to reduce
musculoskeletal disorders using ergonomic intervention among Nahavand
Alimoradian hospital staff.
Material and Methods: This study was conducted in four wards of
160-bed Nahavand Alimoradian hospital. The data collecting tool was Nordic
Musculoskeletal Questionnaire. SPSS software was used for data analysis. The
questionnaire was completed, before and after educational intervention, for 46
employees of the four wards which had the most complaints about musculoskeletal
disorders. Training classes were held
for the target group covering prevention of work-related musculoskeletal
disorders, proper techniques for patient handling and stretching exercises for
low back pain prevention.
Results: The main results tended to be the high
prevalence of musculoskeletal disorders especially in low back, shoulders and
wrists of the employees. Low back pain was the most prevalent disorder among
the personnel. The educational intervention had not significant effect on
lessening the musculoskeletal disorders in hospital staff (p > 0.05).
Conclusion: At
present, regarding enhancements in healthcare procedures, there is an urgent
need to ergonomic intervention in the design of environment, tools and
equipment concurrent with educational intervention.
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Majid Motamedzade, Zahra Moradpour, Hamed Gorjizade, Ghasem Hesam, Abbas Moghim Beigi,
Volume 2, Issue 4 (Journal of Ergonomics 2015)
Abstract
Introduction: The analysis posture methods are counted as a source of investigating the risk of musculoskeletal disorders related to work. Personal digital assistant is a small mobile system with an operative system that can install on various programs such as posture analysis methods.
Method: Firstly, three ways for posture analysis such as QEC, RULA and REBA determined. Afterward, the program of posture analysis methods written by BASCOM software with Basic language in IC MICRO CONTROLLER belong to AVR family, and interned in IC by programmer for making PDA. PDA Usability evaluated by Persian version of system usability scale questionnaire after specifying the validity and reliability of questionnaire. Finally, postural analysis was compared using a PDA with paper method.
Results: The system usability scale of PDA method is 84.2±6.2 which that got B rank and placed in very well situation. Cronbach's Alpha and Pierson correlation coefficient belongs to System usability Scale are 0.716 and 0.888, sequentially (p˂0.001). The comparison between PDA and paper methods show us that time’s operation for analysis posture in PDA method is less than half of the time in papers method. Also, the probability of calculation errors in PDA is zero, but in paper method has tolerance between 2.33 to 8.66.
Conclusion: Use of personal digital assistant for analysis posture solved the problems related to delay achieving to final results and removed the error probability in final results.
