Assigning cancer stage to patients using administrative claims data: an example for colon and rectal cancers
Novel multinomial logistic regression models successfully predicted incident colorectal cancer patients' stages at diagnosis using administrative claims data alone. When applied to FFS and commercial populations, use of model-predicted staging confirmed that colorectal cancer patients' costs increase substantially as stage at diagnosis increases. This suggests earlier diagnosis of colorectal cancer could reduce treatment costs.
Authors
- Gebra Cuyún Carter (ORCID: https://orcid.org/0000-0002-6549-0069)
- Paul J. Limburg (ORCID: https://orcid.org/0000-0002-2428-5675)
- Iram Fayyaz (ORCID: https://orcid.org/0000-0002-4072-6629)
- Bruce Pyenson (ORCID: https://orcid.org/0000-0003-0416-9391)
- Lesley‐Ann Miller‐Wilson (ORCID: https://orcid.org/0000-0003-4983-4041)
- Andreyah Pope
- Phil Ellenberg
- Rebecca Smith (ORCID: https://orcid.org/0009-0008-3667-4740)
- Xiting Cao
Institutions
- Exact Sciences (United States) (US)
- Milliman (United States) (US)
Publication Details
- Journal
- BMC Health Services Research
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1186/s12913-025-13793-4
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00