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Streamlining ergonomic assessment of nonrepetitive workplaces
Christin Jennifer Weeks Manning1, Michael Jorgensen2
1Department of Applied Engineering, Wichita State University.
Ergonomics
|July 14, 2026
Summary
This study introduces a worker feedback method to identify high-risk activities in construction, reducing the scope of ergonomic assessments by 60%. This approach improves efficiency in managing work-related musculoskeletal disorders.
Area of Science:
- Occupational Health
- Ergonomics
- Construction Safety
Background:
- Work-related musculoskeletal disorders (WMSDs) are a significant issue in non-repetitive jobs like construction.
- Current methods for assessing ergonomic risks in these settings are often complex or imprecise.
- Identifying specific high-risk tasks is challenging due to the broad range of activities involved.
Purpose of the Study:
- To propose and validate a worker feedback mechanism for efficiently identifying high-risk activities.
- To reduce the scope of ergonomic risk assessments in construction workplaces.
- To offer a flexible, comprehensive, simple, and replicable assessment tool.
Main Methods:
- A five-step template involving focus groups and surveys was developed.
- The template was implemented across 11 construction crews from five different employers.
- Validation was performed using predictive validity, effectiveness, test-retest reliability, and intra-rater reliability.
Main Results:
- Workers consistently identified activities with elevated ergonomic risks.
- The proposed method successfully reduced the number of activities requiring further investigation by 60%.
- While workers identified high-risk activities, the order might differ from traditional control methods.
Conclusions:
- Worker feedback is an effective tool for pinpointing ergonomic risks in construction.
- The developed template offers a practical and efficient method for narrowing down high-risk activities.
- This approach can streamline the management of work-related musculoskeletal disorders in the construction industry.