ArticleAmerican journal of industrial medicine2019
Efficiency of autocoding programs for converting job descriptors into standard occupational classification (SOC) codes.
Article in American journal of industrial medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Evaluation of using the SOCcer automated occupation auto-coding algorithm to assist expert coding of job descriptions.Annals of work exposures and health · 2026Article
- Applying a NIOSH Industry and Occupation Coding tool to evaluate occupational risk of SARS-CoV-2 infection in pregnant women.Discover public health · 2026Article
- Association between job control and time to pregnancy in a preconception cohort.Fertility and sterility · 2024Article
- Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys.Annals of occupational and environmental medicine · 2024Article
- Occupational models from 42 million unstructured job postings.Patterns (New York, N.Y.) · 2023Article
- Evaluation of the updated SOCcer v2 algorithm for coding free-text job descriptions in three epidemiologic studies.Annals of work exposures and health · 2023Article
- Prerequisite for Imputing Non-detects among Airborne Samples in OSHA's IMIS Databank: Prediction of Sample's Volume.Annals of work exposures and health · 2023Article
- Associations of self-reported occupational exposures and settings to ALS: a case-control study.International archives of occupational and environmental health · 2022Article
- Job-Exposure Matrix: A Useful Tool for Incorporating Workplace Exposure Data Into Population Health Research and Practice.Frontiers in epidemiology · 2022Review
- Determining occupation for National Violent Death Reporting System records: An evaluation of autocoding programs.American journal of industrial medicine · 2021Article
- Not just a research method: If used with caution, can job-exposure matrices be a useful tool in the practice of occupational medicine and public health?Scandinavian journal of work, environment & health · 2020Article
- Using Workers' Compensation Claims Data to Describe Nonfatal Injuries among Workers in Alaska.Safety and health at work · 2020Article
- What Should We Do with Short-Term Jobs in Studies of Chronic Diseases?Annals of work exposures and health · 2019Article
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Authors and funding
3 authors.
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Abstract
backgroundExisting 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.
methodsWe 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).
resultsAgreement 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.
conclusionBoth available autocoding programs can be useful tools for assigning SOC codes, allowing linkage of occupational exposures to data containing free-text occupation descriptors.
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