Practice Expense Data Collection and Methodology: Phase II Final Report

Each year, Medicare allocates tens of billions of dollars for indirect practice expense (PE) across services on the basis of data from the Physician Practice Information (PPI) Survey, which reflects 2006 expenses. Because these data are not regularly updated, and because there have been significant...

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Bibliographic Details
Published in:Policy File 2021
Main Authors: Burgette, Lane F, Hero, Joachim O, Liu, Jodi L, Cohen, Catherine C, Wynn, Barbara O, Merrell, Katie, Anderson, Drew M, Crespin, Daniel J, Dellva, Stephanie, Euller, Roald, Hiatt, Liisa, Katz, Yael, Kareddy, Vishnupriya, Martineau, Monique, Nguyen, PhuongGiang, Peet, Evan D, Qureshi, Nabeel, Ruder, Teague, Sheng, Yaou Flora, Zhao, Lan, Hussey, Peter S
Format: Report
Language:English
Subjects:
Big Data
RAND Corporation
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Summary:Each year, Medicare allocates tens of billions of dollars for indirect practice expense (PE) across services on the basis of data from the Physician Practice Information (PPI) Survey, which reflects 2006 expenses. Because these data are not regularly updated, and because there have been significant changes in the U.S. economy and health care system since 2006, there are concerns that continued reliance on PPI Survey data might result in PE payments that do not accurately capture the resources that are typically required to provide services. In this final report of the second phase of a study on PE methodology, the authors address how the Centers for Medicare & Medicaid Services (CMS) might improve the methodology used in PE rate-setting, update data that inform PE rates, or both. The authors conclude that this information is best provided by a survey; therefore, they focus on the advantages and disadvantages of survey-based approaches. They also describe the use of a lean model survey instrument, as well as partnering with another agency to collect data. Finally, the authors describe a virtual town hall meeting held in June 2021 to give stakeholders an opportunity to provide feedback on PE data collection and rate-setting. The system of data and methods that CMS uses to support PE rate-setting is complex; thus, CMS must take into account a number of competing priorities when considering changes to the system. With this in mind, the authors offer a number of near- and longer-term recommendations.