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Job level risk assessment using task level ACGIH hand activity level TLV scores: a pilot study
Phillip Drinkaus1, Richard Sesek, Donald S Bloswick
1Department of Mechanical Engineering, Ergonomics and Safety Program, University of Utah, Salt Lake City, UT 84112-9208, USA. p.drinkaus@utah.edu
International Journal of Occupational Safety and Ergonomics : JOSE
|October 13, 2005
Summary
This study modified the American Conference of Governmental Industrial Hygienists (ACGIH) Hand Activity Level (HAL) Threshold Limit Value (TLV) to assess multi-task job risks. Modified tools showed significant odds ratios, indicating potential for evaluating upper extremity musculoskeletal disorder risk in complex jobs.
Area of Science:
- Occupational Health
- Ergonomics
- Musculoskeletal Disorders
Background:
- Existing analytical tools for upper extremity musculoskeletal disorders often focus on single-task jobs.
- Many real-world jobs involve multiple tasks or job rotation, presenting a gap in risk assessment.
- Assessing risk in multi-task environments is crucial for preventing work-related injuries.
Purpose of the Study:
- To investigate modifications of the ACGIH Hand Activity Level (HAL) Threshold Limit Value (TLV) for assessing multi-task job risks.
- To explore methods for combining task-specific data into a comprehensive job-level risk assessment.
- To determine if a modified HAL TLV can effectively evaluate upper extremity risk in jobs with multiple tasks.
Main Methods:
- A case/control study design was employed.
- The American Conference of Governmental Industrial Hygienists (ACGIH) Hand Activity Level (HAL) Threshold Limit Value (TLV) was used as a base tool.
- Various methods were explored to integrate task differences and ratios into a job-level assessment.
Main Results:
- Two distinct methods of combining task data yielded significant odds ratios (p < .05).
- Odds ratios of 18.0 (95% CI 1.8-172) and 12.0 (95% CI 1.2-120) were observed.
- These findings suggest the modified ACGIH HAL TLV can offer insights into work-related risks.
Conclusions:
- A modified ACGIH HAL TLV shows promise for assessing upper extremity risk in multi-task jobs.
- The study highlights the potential of adapting existing tools for complex work environments.
- Further research is recommended to refine and optimize the modified assessment process.

