Improving the quality of industry and occupation data at a central cancer registry
Abstract
Background: Central cancer registries are required to collect industry and occupation (I/O) information when available, but the data reported are often incomplete. Methods: We audited the completeness of I/O data in the New Hampshire State Cancer Registry (NHSCR) database for diagnosis year 2005, and reviewed medical records for a convenience sample of 474 of these cases. We compared I/O data quality before and after a statewide registrar training session on occupationally related cancers. Results: The original 2005 data contained both I/O data in 11.5% of cases, and lacked any I/O data in 74.5%. Corresponding figures for cases selected for audit were 15.2% and 77.2%, which improved to 54.2% and 11.8% after medical record review. After registrar training, 47% of reports contained both I/O data, and only 14.4% of cases lacked any I/O data. Conclusions: Statewide training to highlight the importance of I/O data is an effective method to improve I/O data quality. Am. J. Ind. Med. 53:995–1001, 2010. © 2010 Wiley‐Liss, Inc.
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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.
“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 [63]
Four studies found that occupational data were not missing at random and that male patients were more likely to have occupational information in their record.
“Four studies found that data were not missing at random and that male patients were more likely to have occupational information in their record.60,62–64”
From The quality of social determinants data in the electronic health record: a systematic review (2021) · cites this paper as [63]
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“, 2008]—though the quality of information can be greatly improved when staff are trained on the importance of occupational data [Armenti et al., 2010].”
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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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- Authors
- Armenti, K. R., Celaya, M. O., Cherala, S., Riddle, B., Schumacher, P. K., & Rees, J. R.
- Affiliations
- New Hampshire Department of Health and Human Services (US)
- Dartmouth College (US)
- Centers for Disease Control and Prevention (US)
- Corresponding author
- Armenti, Karla R.
- Venue
- American Journal of Industrial Medicine
- Publisher
- Wiley
- Published
- 2010-09-16
- Volume
- 53
- Issue
- 10
- Pages
- 995-1001
- ISSN
- 0271-3586 (ISSN-L)
- 1097-0274
- OpenAlex
- W2169227974
- Cited by
- 17
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 2 · 2021: 1 · 2019: 1 · 2018: 1 · 2017: 2 · 2015: 1 · 2014: 1 · 2013: 5
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Industrial Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Center for Chronic Disease Prevention and Health Promotion (U58/DP000798)
- Topics
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Safety in Workplaces
- Keywords
- data quality, data completeness, occupational cancer, registrar training, medical records review
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Data Collection, Female, Humans, Industry, Male, Medical Records, Middle Aged, Neoplasms, New Hampshire, Occupational Diseases, Occupations, Registries, Research Design, Incidence, Young Adult, Quality Improvement
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