title: Use and Costs of Disease Monitoring in Women With Metastatic Breast Cancer.
abstract: The optimal frequency of monitoring patients with metastatic breast cancer (MBC) is unknown; however, data suggest that intensive monitoring does not improve outcomes. We performed a population-based analysis to evaluate patterns and predictors of extreme use of disease-monitoring tests (serum tumor markers [STMs] and radiographic imaging) among women with MBC.
  
  
  
  The SEER-Medicare database was used to identify women with MBC diagnosed from 2002 to 2011 who underwent disease monitoring. Billing dates of STMs (carcinoembryonic antigen and/or cancer antigen 15-3/cancer antigen 27.29) and imaging tests (computed tomography and/or positron emission tomography) were recorded; if more than one STM or imaging test were completed on the same day, they were counted once. We defined extreme use as > 12 STM and/or more than four radiographic imaging tests in a 12-month period. Multivariable analysis was used to identify factors associated with extreme use. In extreme users, total health care costs and end-of-life health care utilization were compared with the rest of the study population.
  
  
  
  We identified 2,460 eligible patients. Of these, 924 (37.6%) were extreme users of disease-monitoring tests. Factors significantly associated with extreme use were hormone receptor-negative MBC (odds ratio [OR], 1.63; 95% CI, 1.27 to 2.08), history of a positron emission tomography scan (OR, 2.92; 95% CI, 2.40 to 3.55), and more frequent oncology office visits (OR, 3.14; 95% CI, 2.49 to 3.96). Medical costs per year were 59.2% higher in extreme users. Extreme users were more likely to use emergency department and hospice services at the end of life.
  
  
  
  Despite an unknown clinical benefit, approximately one third of elderly women with MBC were extreme users of disease-monitoring tests. Higher use of disease-monitoring tests was associated with higher total health care costs. Efforts to understand the optimal frequency of monitoring are needed to inform clinical practice.
authors.affiliation: Melissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY. mkg2134@cumc.columbia.edu.
authors.forename: Melissa K
authors.initials: MK
authors.lastname: Accordino
authors.affiliation: Melissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
authors.forename: Jason D
authors.initials: JD
authors.lastname: Wright
authors.affiliation: Melissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
authors.forename: Sowmya
authors.initials: S
authors.lastname: Vasan
authors.affiliation: Melissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
authors.forename: Alfred I
authors.initials: AI
authors.lastname: Neugut
authors.affiliation: Melissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
authors.forename: Grace C
authors.initials: GC
authors.lastname: Hillyer
authors.affiliation: Melissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
authors.forename: Jim C
authors.initials: JC
authors.lastname: Hu
authors.affiliation: Melissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
authors.forename: Dawn L
authors.initials: DL
authors.lastname: Hershman
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000097:blood / Q000191:economics; D001943:Breast Neoplasms / Q000097:blood / Q000175:diagnosis* / Q000191:economics* / Q000453:epidemiology; D005260:Female; D006801:Humans; D006278:Medicare / Q000706:statistics & numerical data; D008991:Monitoring, Physiologic / Q000191:economics / Q000379:methods; D049268:Positron-Emission Tomography / Q000191:economics / Q000379:methods; D018426:SEER Program; D014057:Tomography, X-Ray Computed / Q000191:economics / Q000379:methods; D014481:United States / Q000453:epidemiology
chemical_list: D014408:Biomarkers, Tumor