Capture and coding of industry and occupation measures: findings from eight National Program of Cancer Registries states
Open accessAbstract
Background: Although data on industry and occupation (I&O) are important for understanding cancer risks, obtaining standardized data is challenging. This study describes the capture of specific I&O text and the ability of a web‐based tool to translate text into standardized codes. Methods: Data on 62 525 cancers cases received from eight National Program of Cancer Registries (NPCR) states were submitted to a web‐based coding tool developed by the National Institute for Occupational Safety and Health for translation into standardized I&O codes. We determined the percentage of sufficiently analyzable codes generated by the tool. Results: Using the web‐based coding tool on data obtained from chart abstraction, the NPCR cancer registries achieved between 48% and 75% autocoding, but only 12‐57% sufficiently analyzable codes. Conclusions: The ability to explore associations between work‐related exposures and cancer is limited by current capture and coding of I&O data. Increased training of providers and registrars, as well as software enhancements, will improve the utility of I&O data.
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The NIOSH Industry and Occupation Computerized Coding System, a free web-based system, was evaluated and recommended by several studies for increasing the quality of occupation data prior to analysis.
“For researchers seeking to increase the quality of occupation data prior to analysis, the National Institute of Occupational Safety and Health (NIOSH) has created a free, web-based system called NIOSH Industry and Occupation Computerized Coding System78 that was evaluated and recommended by several studies.10,60,62,76”
From The quality of social determinants data in the electronic health record: a systematic review (2021) · cites this paper as [10]
The Materials and Methods section (page unavailable) describes NIOCCS as a freely available web-based system and evaluates its coding of occupation and industry text. The Discussion (page unavailable) says researchers can use its confidence levels to balance capture against coding confidence, but does not explicitly recommend it as a way to increase the quality of occupation data before analysis. (LLM, conf=0.83)
Experimental — accuracy not yet measuredSix of the 7 studies (86%) that looked at the quality of occupational data primarily examined completeness, all noting that occupational information is frequently missing from the health record.
“Six of the 7 studies (86%) that looked at the quality of occupational data primarily examined completeness, all noting that occupational information is frequently missing from the health record.10,60–64”
From The quality of social determinants data in the electronic health record: a systematic review (2021) · cites this paper as [10]
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Cites
Natural Language Processing in Oncology: A Review
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“One future direction of I&O data collection could include the use of natural language processing in electronic health records, which has been successfully used to advance cancer care.(20) Another direction”
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“Furthermore, an untried approach to addressing the previously mentioned gaps is the use of job exposure matrices, which assign occupational exposure levels based upon I&O data andmight be able to overcome some of the reported limitations of cancer registry I&O data.(17) However, the usefulness of job exposure matrices…”
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“includes linkages of data between cancer registries and occupational registries as has been done to improve race and ethnicity data through linkages with Indian Health Services records.(21) In conclusion, while there are known associations between occupational and industrial exposure to cancer, the ability to explore…”
MethodSelf-citationRisk of Cancer Among Firefighters in California, 1988–2007
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“Increased knowledge about occupations and exposures, however, is an important public health issue to protect workers and identify potentially harmful exposures.(3) The strengths of this study include the number of cancer cases and registries included, which reflect 27.”
BackgroundResultThe proportion of cancer attributable to occupational exposures
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“previous literature estimated that 2-8% of cancer may be attributable to occupational exposures, although the true burden may be higher.(5)”
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“Finally, individuals from the National Cancer Institute have developed an algorithm called Standardized Occupation Coding for Computer-assisted Epidemiologic Research (SOCcer) that maps job titles into standardized occupation classification (SOC) codes, which may also be useful in epidemiological studies of occupation…”
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Improving the quality of industry and occupation data at a central cancer registry
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“As shown in the New Hampshire study, cancer registrars could improve their ability to routinely capture I&O data through training on standardization of placement of this information within the medical record.(15) Additionally, successful incorporation of I&O as structured data in electronic health records could improv…”
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“significant difference between the percentages of auto-coded cases even though CML is related to occupational exposure and breast, colon, and rectum are not (data not shown).(19)”
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“Often, these data may be missing, incomplete, lacking detail, and/or more likely to be ascertained in patients with cancers that have known association to occupational exposures (ie, differential misclassification).(9) Furthermore, coding I&O data manually is a time and resource intensive process that is prohibitive i…”
Background
Flagged first, then by citations
7 of the 21 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
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Sorted by citations
The quality of social determinants data in the electronic health record: a systematic review
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Availability and accuracy of occupation in cancer registry data among Florida firefighters
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“Still, I&O data are often missing from state registry records, or are recorded in such a way that precludes assignment of standardized codes that are comparable and therefore usable for analyses.(7) A study of I&O availability (categorizing “retired” and “nonworking” as available) in the New Hampshire State Cancer Reg…”
BackgroundDemographic considerations in analyzing decedents by usual occupation
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“One of the most critical gaps is the lack of systematic collection of information related to occupation [9, 10].”
Laying the Foundation for a Mesothelioma Patient Registry: Development of Data Collection Tools
Gaitens, J., Culligan, M., Friedberg, J., Glass, E., Reback, M., Scilla, K., Sachdeva, A., Atalla, A., & McDiarmid, M. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20064950 · Cited by 3 · see citing works
“In addition, state cancer registries, which provide limited insight into mesothelioma case numbers, do not routinely collect information about an individual’s occupation or exposure history [30].”
BackgroundCharacterizing employment of colorectal cancer survivors using electronic health records
Varga, A., Gruß, I., Ritzwoller, D., Bradley, C., Sterrett, A., & Banegas, M. P. (2021) · JAMIA Open · doi:10.1093/jamiaopen/ooab061 · Cited by 2 · see citing works
“However, field tests have demonstrated lower accuracy than NIOSH monitoring rates, and insufficient analyzable data for some records, indicating that improving the collection methods of employment and industry data, such as more targeted questions or better training of administration staff, could ameliorate the usabil…”
BackgroundEnvironmental Public Health Tracking, an untapped resource for occupational health
Namulanda, G., Monti, M., Werner, A., Nogueira, I., Solomon, G., English, P., Karlsson, N., Cosser, A., Bush, K. F., & Mitchell, C. (2022) · Journal of Occupational and Environmental Hygiene · doi:10.1080/15459624.2022.2123494 · Cited by 1
“One difference between occupational and community cancer investigations is the relative lack of data in the MCR about the occupation, industry, or employer of the patient (Freeman et al. 2017; Silver et al. 2018).”
BackgroundSiegel, M. R., Mayer, A. C., Fent, K., & Wilkinson, A. F. (2026) · American Journal of Industrial Medicine · doi:10.1002/ajim.70112
Starting points for finding toxicology resources
Holmgren, S. D., Mantooth, S., & Weston, E. (2020) · doi:10.1016/b978-0-12-813724-6.00005-0
- Authors
- Freeman, M. B., Pollack, L. A., Rees, J. R., Johnson, C. J., Rycroft, R. K., Rousseau, D. L., Hsieh, M., & On behalf of the enhancement of NPCR for comparative effectiveness research team
- Affiliations
- Centers for Disease Control and Prevention (US)
- Dartmouth College (US)
- Cancer Data Registry of Idaho Boise, Idaho
- Colorado Central Cancer Registry Denver, Colorado
- Rhode Island Cancer Registry Providence, Rhode Island
- Louisiana State University Health Sciences Center New Orleans (US)
- Corresponding author
- Freeman, MaryBeth B.
- Venue
- American Journal of Industrial Medicine
- Publisher
- Wiley
- Published
- 2017-07-10
- Volume
- 60
- Issue
- 8
- Pages
- 689-695
- ISSN
- 0271-3586 (ISSN-L)
- 1097-0274
- PMC
- PMC5769461
- OpenAlex
- W2736094568
- Cited by
- 16
- References
- 21
- Citations by year
- 2026: 3 · 2025: 1 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 2 · 2019: 2 · 2018: 2
- FWCI
- 2.25
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- Locations
- American Journal of Industrial Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- Centers for Disease Control and Prevention (U58/DP000792)
- Oak Ridge Institute for Science and Education
- Topics
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Safety in Workplaces
- Keywords
- cancer registry, occupational cancer, data capture, National Program of Cancer Registries, medical records review
- MeSH terms
- Data Collection, Humans, Neoplasms, Occupational Diseases, Occupations, Registries, Software, United States
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