Incidence, Persistence, and Steady‐State Prevalence in Coding Intensity for Health Plan Payment
Researchers and policymakers can better understand why changes in coding practices can take years to be fully reflected in data and monitor coding behavior by using our proposed measures.
Authors
- Sherri Rose (ORCID: https://orcid.org/0000-0002-9076-8472)
- J. Michael McWilliams
- Oana M. Enache (ORCID: https://orcid.org/0000-0002-9541-0058)
- Michael E. Chernew (ORCID: https://orcid.org/0000-0001-9473-1100)
- Thomas G. McGuire
- Tram Nham
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- Health Services Research
- Published
- 2025-11-08
- DOI
- https://doi.org/10.1111/1475-6773.70065
- Primary Topic
- Medical Coding and Health Information
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- U.S. National Library of Medicine