Report Identifies Considerations for Alternative Payment Models for Cancer Care

Report Identifies Considerations for Alternative Payment Models for Cancer Care

A report recently published in the AACR journal Clinical Cancer Research describes five policy considerations critical to ensuring the delivery of high-quality oncology care while supporting innovation. These recommendations were put forth by a roundtable convened in July 2015 by the Turning the Tide Against Cancer Initiative, which is a collaboration between the AACR, the Personalized Medicine Coalition, and Feinstein Kean Healthcare.

The recommendations in the report, which was co-authored by Gilbert Omenn, MD, PhD, director, Center for Computational Medicine and Bioinformatics, University of Michigan; and chair of the AACR Health and Policy Subcommittee, were published in conjunction with the science policy session, “The Impact of the Affordable Care Act (ACA) on Cancer Research, Care, and Prevention,” which was held on April 17 at the AACR Annual Meeting 2016 in New Orleans.

The five recommendations specifically, which focused on the effects of alternative payment models (APMs) on oncology innovation and patient care, were as follows:

  • APMs should keep pace with rapidly emerging science by incentivizing the adoption of innovative medicines and technologies that have the potential to improve patient outcomes and make health care more efficient.
  • APMs should include mechanisms to encourage patient participation as appropriate in clinical trials as well as ongoing post-market clinical research.
  • Clinical pathways should be transparent and evidence-based, and updated regularly to reflect current scientific evidence and clinical advances within the overall continuum of care.
  • When providers and patients are making treatment decisions, patients should be given a clear, comprehensive picture of their treatment options, including cost information that is tailored to the specific patient’s insurance coverage and treatment plan.
  • APMs should require that clinical data be aggregated and integrated into providers’ workflows via electronic health records in order to support learning health care systems. Providers should have access to data that will support their shared decision-making with patients. Similarly, patients should have access to research results collected through a learning health care system.

To read the entire report as a PDF on, click here.


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