작업 관련 근골격계질환 체크리스트 사용 특성에 관한 연구

초록

Objective: This study tried to identify and analyze the problems associated with the use of checklists regarding musculoskeletal disorders (MSDs). An eventual objective of this study was to suggest a guideline for applying checklists based on the results of the study. Background: An evaluation for work-related MSDs is usually initiated by applying checklists such as OWAS, RULA, and REBA. However, there have been many limitations for using these checklists. Specifically, there can always be a possibility for different outcomes depending on analyst, duration of cycle time, types of jobs and so on. One of the biggest problems has been a high possibility of inconsistency for selecting the posture except the job with very short cycle time. This study tries to propose a certain guideline regarding applying checklists with categorized approaches to evaluate MSDs for different cases. Method: The total number of jobs considered in this study was 40 (10 jobs from hospital, 10 jobs from electronics assembly, 20 jobs from automobile assembly). There were 2 groups of subjects (5 experienced and 30 inexperienced subjects). 'Experienced subject' is defined as the subject who has applied MSDs checklists more than 1,000 times. An evaluation process was repeated for 3 times in every 3 days for each subject. SPSS 25.0 was used for statistical analysis. The factors considered in the study were groups of subjects (experienced, inexperienced), types of industries, types of checklists, and cycle times. Results: In case of experienced subjects, there were no statistically significant cases with consistencies for the counter-time of the posture selected for short (< 15 seconds) and medium (15~30 seconds) cycle times while there was 14.29% of statistically significant cases with consistencies for long cycle time (> 30 seconds). The percentages of statistically significant cases with consistencies for the counter-time in case of inexperienced subjects were 50%, 55%, and 67% for short, medium and long cycle times respectively. RULA had a higher percentage of statistically significant cases with consistencies for the counter-time than that of OWAS and REBA. Further analyses were done using the data with counter-time error rate less than 10% in order to analyze the data with relatively high reliability. The percentage of the data with counter-time error rate less than 10% increased as cycle time increased. Electronics assembly jobs had the highest percentage of the data with counter-time error rate less than 10%. Conclusion: The guideline was proposed to have better and more reliable use of MSDs checklists in terms of groups (experienced, inexperienced), types of industries, cycle times, and types of checklists. Application: The results of this study can be a good basis for better and reliable use of MSDs checklists.

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