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Determining occupation for National Violent Death Reporting System records: An evaluation of autocoding programs
Jonathan Davis1, Corinne Peek-Asa1, Ann Marie Dale2
1Department of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
American Journal of Industrial Medicine
|September 7, 2021
Summary
Autocoding programs accurately assign occupations in the National Violent Death Reporting System (NVDRS) data. This allows for better study of suicide risk across different job types.
Area of Science:
- Public Health
- Occupational Health
- Data Science
Background:
- Suicide is a significant cause of death for adults in the workforce.
- Occupational factors influence suicide risk.
- The National Violent Death Reporting System (NVDRS) collects data on violent deaths in the U.S.
Purpose of the Study:
- To evaluate the accuracy of autocoding programs in assigning occupations within NVDRS data.
- To determine the reliability of automated occupation assignment for suicide research.
Main Methods:
- Utilized NVDRS data from 2010-2017 for individuals aged 16 and older who died by suicide.
- Employed autocoding programs to process free-text job descriptions.
- Compared autocoded occupations against occupation codes listed on death certificates.
Main Results:
- Autocoding programs demonstrated substantial agreement (Cohen's kappa > 0.7) for major occupation group assignment.
- Accuracy varied based on race/ethnicity and specific occupation type.
Conclusions:
- Autocoding offers an efficient method for occupation identification in NVDRS.
- Accurate occupation data facilitates research into suicide circumstances and rates across occupations.
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