Literature DB >> 19661075

Internal validation of procedure codes on Medicare claims for digital mammograms and computer-aided detection.

Joshua J Fenton1, Pamela Green, Laura-Mae Baldwin.   

Abstract

BACKGROUND: Billing data, such as Medicare claims, are a potential data source for evaluative studies of new digital mammography technologies, such as digital mammography and computer-aided detection (CAD).
OBJECTIVE: To assess the internal validity of procedure codes on Medicare claims for screening mammography interpreted with either digital mammography or CAD. STUDY
DESIGN: We assessed agreement of procedure coding for digital versus film mammography and CAD use versus nonuse for mammograms with claims appearing in two independent Medicare claims files (the Carrier Claims and Outpatient files). SUBJECTS AND
SETTING: Women enrolled in fee-for-service Medicare who received screening mammography in 2001 to 2003 within Surveillance, Epidemiology, and End Results regions, representing 25% of the U.S. population (n = 35,642 women who received 57,632 total mammograms). MEASURES: Coding agreement beyond chance (kappa), overall, and by year.
RESULTS: Overall coding agreement was excellent for both digital versus film mammography [kappa = 0.81 (95% confidence interval, 0.80-0.83)] and for CAD use versus nonuse [kappa = 0.82 (95% confidence interval, 0.81-0.83)]. However, in 2001, agreement was only moderate (kappa = 0.51 for digital versus film and kappa = 0.50 for CAD use versus nonuse) but increased to higher levels in 2002 and 2003 (kappa > 0.80 for both technologies).
CONCLUSIONS: High internal agreement in procedure codes for digital mammography technologies is consistent with accurate coding on Medicare claims after 2001, although external validation remains desirable.

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Year:  2009        PMID: 19661075     DOI: 10.1158/1055-9965.EPI-09-0338

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  4 in total

1.  Preoperative delays in the US Medicare population with breast cancer.

Authors:  Richard J Bleicher; Karen Ruth; Elin R Sigurdson; Eric Ross; Yu-Ning Wong; Sameer A Patel; Marcia Boraas; Neal S Topham; Brian L Egleston
Journal:  J Clin Oncol       Date:  2012-11-19       Impact factor: 44.544

2.  External validation of Medicare claims codes for digital mammography and computer-aided detection.

Authors:  Joshua J Fenton; Weiwei Zhu; Steven Balch; Rebecca Smith-Bindman; Karen K Lindfors; Rebecca A Hubbard
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-06-13       Impact factor: 4.254

3.  Short-term outcomes of screening mammography using computer-aided detection: a population-based study of medicare enrollees.

Authors:  Joshua J Fenton; Guibo Xing; Joann G Elmore; Heejung Bang; Steven L Chen; Karen K Lindfors; Laura-Mae Baldwin
Journal:  Ann Intern Med       Date:  2013-04-16       Impact factor: 25.391

4.  Evolution of breast cancer screening in the Medicare population: clinical and economic implications.

Authors:  Brigid K Killelea; Jessica B Long; Anees B Chagpar; Xiaomei Ma; Rong Wang; Joseph S Ross; Cary P Gross
Journal:  J Natl Cancer Inst       Date:  2014-07-16       Impact factor: 13.506

  4 in total

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