An Empirical Framework for Breast Screening Bundled Payments. Academic Article uri icon

Overview

abstract

  • PURPOSE: In an effort to curb health care costs and improve the quality of care, bundled payment models are becoming increasingly adopted, but to date, they have focused primarily on treatment episodes and primary care providers. To achieve current Medicare goals of transitioning fee-for-service payments to alternative payment models, however, a broader range of patient episodes and specialty physicians will need opportunities to participate. The authors explore breast cancer screening episodes as one such opportunity. METHODS: The authors developed a bundled payment model for breast cancer screening and calibrated it using both a national sample of retrospective Medicare claims data and data from a private health system. The model includes alternative screening episode definitions, methods for calibrating prices, and an examination of risk and can serve as a general framework on which other cancer screening bundles could be crafted. RESULTS: The utilization of services associated with breast cancer screening and diagnosis is stable over time. The inclusion of high-risk patients in breast screening bundles did not cause substantial changes in estimated bundle prices. However, prices are sensitive to the choice of services included in the bundle. CONCLUSIONS: Breast cancer screening may provide a mechanism to expand the use of bundled payments in radiology and could serve as a framework for other episodic specialty bundles. Because screening bundles include costs for follow-up diagnostic imaging in addition to the initial screening mammographic examination, patient adherence to screening guidelines may improve, which may have profound effects on public health.

publication date

  • August 17, 2016

Research

keywords

  • Breast Neoplasms
  • Early Detection of Cancer
  • Medicare
  • Models, Economic
  • Patient Care Bundles
  • Reimbursement Mechanisms

Identity

Scopus Document Identifier

  • 84996503708

Digital Object Identifier (DOI)

  • 10.1016/j.jacr.2016.07.008

PubMed ID

  • 27544355

Additional Document Info

volume

  • 14

issue

  • 1