Despite its proven efficacy in reducing breast cancer mortality, little is
known about the effectiveness of screening mammography in community
practice. Of particular concern is its specificity outside academic
medical settings and the implications of false positives on patient
outcomes and costs of care. These are major issues for older women, since
Medicare now covers biennial screening mammograms.
Monitoring trends in the use of screening mammography, assessing the
accuracy of mammography in community practice and studying the outcomes of
routine screening in terms of follow-up procedures have been targeted by
the Institute of Medicine as important topics for effectiveness research
in breast cancer that might be initially addressed with Medicare claims
data. However, it is not clear whether the limitations of claims data will
allow for the generation of valid information on these topics.
The study goals are two-fold: 1) to evaluate the validity and utility of
the Medicare claims for screening mammography research and 2) to
investigate the effectiveness of mammographic screening for community
practice in Texas over the years 1992-1993. The validation issues
pertaining to coding of screening mammograms, the accuracy of a claims
based algorithm to determine mammography test results and the precision of
a claims based estimate of specificity will be addressed through chart
reviews at 14 facilities providing mammography services in southeast
Texas. Samples of claims from the centers will be drawn from the Medicare
data base and compared to information from patient records. The accuracy
of an algorithm to ascertain a newly diagnosed cancer will be assessed
with data from the SEER-Medicare linked data bases for 1991-1993. Based on
this evaluation we will characterize the nature and extent of error in
using the claims for mammography research.
The performance of screening mammography in Texas will be assessed with
claims based estimates of specificity, the ratio of benign biopsies to
cancers and the biopsy rate. Findings will then be compared to those
reported in the clinical trials. These estimates and the costs of follow-
up procedures will also be generated for individual facilities.
Statistical analyses will measure the variation in estimates among
facilities and their association with facility characteristics.
Error Notice
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We apologize for the inconvenience.
- The DCCPS Team.