Comparative Analysis of Medicare Spending for Medical Imaging: Sustained Dramatic Slowdown Compared With Other Services

Abstract

OBJECTIVE: The purpose of this study was to assess trends in Medicare spending growth for medical imaging relative to other services and the Deficit Reduction Act (DRA). MATERIALS AND METHODS: We calculated per-beneficiary Part B Medicare medical imaging expenditures for three-digit Berenson-Eggers Type of Service (BETOS) categories using Physician Supplier Procedure Summary Master Files for 32 million beneficiaries from 2000 to 2011. We adjusted BETOS categories to address changes in coding and payment policy and excluded categories with 2011 aggregate spending less than $500 million. We computed and ranked compound annual growth rates over three periods: pre-DRA (2000-2005), DRA transition period (2005-2007), and post-DRA (2007-2011). RESULTS: Forty-four modified BETOS categories fulfilled the inclusion criteria. Between 2000 and 2006, Medicare outlays for nonimaging services grew by 6.8% versus 12.0% for imaging services. In the ensuing 5 years, annual growth in spending for nonimaging continued at 3.6% versus a decline of 3.5% for imaging. Spending growth for all services during the pre-DRA, DRA, and post-DRA periods were 7.8%, 3.8%, and 2.9 compared with 15.0%, -3.4%, and -2.2% for advanced imaging services. Advanced imaging was among the fastest growing categories of Medicare services in the early 2000s but was in the bottom 2% of spending categories in 2011. Between 2007 and 2011, the fastest growing service categories were evaluation and management services with other specialists (29.1%), nursing home visits (11.2%), anesthesia (9.1%), and other ambulatory procedures (9.0%). CONCLUSION: Slowing volume growth and massive Medicare payment cuts have left medical imaging near the bottom of all service categories contributing to growth in Medicare spending.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 49 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.