Over one-half of incident breast cancers occur among Medicare-enrolled women, and Medicare enrollees receive approximately one-third of all screening mammograms nationwide (~13 million annual mammograms). Thus, improving the quality of screening mammography received by Medicare enrollees remains a public health priority. In 2001, Congress extended Medicare coverage to digital mammography and the application of computer-aided detection (CAD) during screening mammography. Rigorous evaluation of the clinical and economic impact of dissemination these technologies within the Medicare population have substantial policy significance. Although Medicare claims could be fruitful data source for such evaluations, uncertainty remains about the validity of key data elements. The Program Announcement, "Cancer Surveillance Using Health Claims-based Data System," calls for research to expand the scientific utility of Medicare claims files. In response, this study will use the newly linked Breast Cancer Surveillance Consortium (BCSC)-Medicare data to validate critical data elements of Medicare mammography claims and to evaluate the performance of claims-based algorithms for distinguishing screening from diagnostic mammograms and normal from abnormal radiologist interpretations.
Specific aims are: 1) To refine and validate a promising claims-based algorithm to distinguish screening from diagnostic mammograms. 2) To externally validate claims procedure codes for digital mammography and computer-aided detection (CAD). 3) To develop and validate a claims-based algorithm to distinguish whether screening mammograms were interpreted as normal vs. abnormal. Analyses will demonstrate the potential utility of the claims algorithms for comparative effectiveness research or radiologist-level quality assessment in the context of mammography technology diffusion.

Public Health Relevance

This study may provide essential methodological support for subsequent claims-based comparative effectiveness, economic, quality improvement research related to mammography. By elucidating the strengths and weaknesses of the claims data, study findings may also direct programmatic efforts to improve the quality of Medicare claims data.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA158510-02
Application #
8244989
Study Section
Health Services Organization and Delivery Study Section (HSOD)
Program Officer
Warren, Joan
Project Start
2011-04-01
Project End
2014-03-31
Budget Start
2012-04-01
Budget End
2014-03-31
Support Year
2
Fiscal Year
2012
Total Cost
$171,615
Indirect Cost
$18,368
Name
University of California Davis
Department
Family Medicine
Type
Schools of Medicine
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
Fenton, Joshua J; Zhu, Weiwei; Balch, Steven et al. (2014) Distinguishing screening from diagnostic mammograms using Medicare claims data. Med Care 52:e44-51