Abstract:
BACKGROUND:Existing datasets often lack job exposure data. Standard Occupational Classification (SOC) codes can link work exposure data to health outcomes via a Job Exposure Matrix, but manually assigning SOC codes is laborious. We explored the utility of two SOC autocoding programs. METHODS:We entered industry and occupation descriptions from two existing cohorts into two publicly available SOC autocoding programs. SOC codes were also assigned manually by experienced coders. These SOC codes were then linked to exposures from the Occupational Information Network (O*NET). RESULTS:Agreement between the SOC codes produced by autocoding programs and those produced manually was modest at the 6-digit level, and strong at the 2-digit level. Importantly, O*NET exposure values based on SOC code assignment showed strong agreement between manual and autocoded methods. CONCLUSION:Both available autocoding programs can be useful tools for assigning SOC codes, allowing linkage of occupational exposures to data containing free-text occupation descriptors.
journal_name
Am J Ind Medjournal_title
American journal of industrial medicineauthors
Buckner-Petty S,Dale AM,Evanoff BAdoi
10.1002/ajim.22928subject
Has Abstractpub_date
2019-01-01 00:00:00pages
59-68issue
1eissn
0271-3586issn
1097-0274journal_volume
62pub_type
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