ArticleAmerican journal of industrial medicine2021
Determining occupation for National Violent Death Reporting System records: An evaluation of autocoding programs.
Article in American journal of industrial medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- The Impact of Job Strain on Occupational Access to Firearms and Firearm-Related Suicide Among US Workers.American journal of industrial medicine · 2026Article
- Evaluation of using the SOCcer automated occupation auto-coding algorithm to assist expert coding of job descriptions.Annals of work exposures and health · 2026Article
- The Relationship between Race, Ethnicity, and Suicidal Thoughts and Behaviors among Students at Institutions of Higher Education in the U.S.Current psychiatry reports · 2024Review
- Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys.Annals of occupational and environmental medicine · 2024Article
- Evaluation of the updated SOCcer v2 algorithm for coding free-text job descriptions in three epidemiologic studies.Annals of work exposures and health · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundSuicide is a leading cause of death for working-age adults. Suicide risk varies across occupations. The National Violent Death Reporting System (NVDRS) collects information about violent deaths occurring in the United States. Occupation can be determined using autocoding programs with NVDRS data. The objective of this analysis is to determine the accuracy of autocoding programs for assigning occupations in the NVDRS.
methodsDeaths from suicide were identified in NVDRS for individuals age 16 and older from 2010 to 2017. Occupations were assigned after processing job description free text with autocoding programs. Job assigned by autocoding program were compared with the occupation code recorded on the death certificate.
resultsAssignment of major occupation group had substantial agreement (Cohen's kappa > 0.7) for the two autocoding programs evaluated. Agreement of assigned code varied across race/ethnicity and occupation type.
conclusionsAutocoding programs provide an efficient method for identifying the occupation for decedents in NVDRS data. By identifying occupation, circumstances of suicide and rates of suicide can be studied across occupations.
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