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Photograph-based ergonomic evaluations using the Rapid Office Strain Assessment (ROSA)
J Liebregts1, M Sonne1, J R Potvin1
1Department of Kinesiology, McMaster University, 1280 Main St. W, Hamilton, Ontario L8S 4L8, Canada.
Remote photo-based Rapid Office Strain Assessment (ROSA) shows potential for evaluating musculoskeletal disorder (MSD) risk factors. While interrater reliability is good, accuracy issues suggest improvements are needed for practical application in workplace ergonomics.
Area of Science:
- Occupational Health
- Ergonomics
- Human Factors Engineering
Background:
- Musculoskeletal disorders (MSDs) are a significant concern in office environments.
- The Rapid Office Strain Assessment (ROSA) is a tool used to identify ergonomic risk factors in workstations.
- Remote assessment methods are increasingly explored to improve accessibility and efficiency.
Purpose of the Study:
- To evaluate the validity and reliability of conducting ROSA assessments remotely using photographs.
- To compare photo-based ROSA assessments with traditional on-site evaluations.
- To identify sources of error in remote, photo-based ergonomic assessments.
Main Methods:
- Twenty-three office workstations were assessed both on-site and via photographs.
- Three ergonomists performed remote, photo-based ROSA assessments.
- Statistical analyses including sensitivity, specificity, root mean square error (RMSE), and intraclass correlation coefficient (ICC) were used.
Main Results:
- Photo-based assessments showed a sensitivity of 79% and specificity of 55% in correctly classifying workstations.
- The average error between on-site and photo-based scores was approximately 2 points on the ROSA scale (RMSE = 2.3).
- Interrater reliability for photo-based assessments was good to excellent (ICC = 0.667-0.856).
Conclusions:
- Remote, photo-based ROSA assessments demonstrate potential for evaluating MSD risk factors but require further refinement.
- Sources of error include parallax effects, inaccurate joint angle estimations, and postural classification boundaries.
- Improvements in photo-collection protocols are necessary for enhancing the accuracy and utility of remote ROSA evaluations.
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