
doi: 10.1002/ajim.20846
pmid: 20698022
AbstractBackgroundO*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.MethodsA 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.ResultsMany 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.ConclusionO*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.
Information Services, Safety Management, Databases, Factual, Data Collection, Data Interpretation, Statistical, Occupational Exposure, Humans, Ergonomics, Occupational Health, United States
Information Services, Safety Management, Databases, Factual, Data Collection, Data Interpretation, Statistical, Occupational Exposure, Humans, Ergonomics, Occupational Health, United States
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 83 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
