Use of O*NET as a job exposure matrix: A literature review

Authors

  • Manuel Cifuentes MD, ScD,

    Corresponding author
    1. Center for Disability Research at Liberty Mutual Research Institute for Safety and Work Environment Department at University of Massachusetts Lowell, Hopkinton, Massachusetts
    • Research Scientist, Center for Disability Research, Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748.
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  • Jon Boyer ScD,

    1. Center for Physical Ergonomics at Liberty Mutual Research Institute for Safety and Work Environment Department at University of Massachusetts Lowell, Lowell, Massachusetts
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  • David A. Lombardi PhD,

    1. Center for Injury Epidemiology at Liberty Mutual Research Institute for Safety, Hopkinton, Massachusetts
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  • Laura Punnett ScD

    1. Work Environment Department at University of Massachusetts Lowell, Hopkinton, Massachusetts
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Abstract

Background

O*NET is a publicly available online database that describes occupational features across US job titles and that has been used to estimate workplace physical and psychosocial exposures and organizational characteristics. The aim of this review is to describe and evaluate the use of O*NET as a job exposure matrix.

Methods

A review of the peer-reviewed published and gray literature was conducted. Twenty-eight studies were found that used O*NET to estimate work exposures related to health or safety outcomes. Each was systematically evaluated across eight main features.

Results

Many health outcomes have been studied with O*NET estimates of job exposures. Some studies did not use conceptual definitions of exposure; few studies estimated convergent validity, most used predictive validity. Multilevel analysis was underutilized.

Conclusion

O*NET is worthy of exploration by the occupational health community, although its scientific value is still undetermined. More studies could eventually provide evidence of convergent validity. O*NET has the potential to allow examination of occupational risks that might have otherwise been ignored due to missing data or resource constraints on field data collection of job exposure information. Am. J. Ind. Med. 53:898–914, 2010. © 2010 Wiley-Liss, Inc.

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