Download eBook for Free

Full Document

FormatFile SizeNotes
PDF file 2.8 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Executive Summary

FormatFile SizeNotes
PDF file 1.1 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

The Centers for Medicare & Medicaid Services (CMS) uses the resource-based relative value scale to pay physicians and other practitioners for professional services. The work values measure the relative levels of professional time and intensity (physical effort, skills, and stress) associated with providing services. CMS asked RAND to develop a model to validate the work values using external data sources. RAND's goal was to test the feasibility of using external data and regression analysis to create prediction models to validate work values. Data availability limited the models to surgical procedures and selected medical procedures typically performed in an operating room. Key findings from the study include the following: RAND estimates of intra-service time using external data are typically shorter than the current CMS estimates. Model assumptions about how shorter intra-service times affect procedure intensity have implications for the work estimates. RAND estimates for work on average were similar to current work values if shorter intra-service time is assumed to increase procedure intensity and were on average up to 10 percent lower than current work values if shorter intra-service time is assumed to not impact on procedure intensity. The RAND estimates could be used for two key applications: CMS could flag codes as potentially misvalued if the RAND estimates are notably different from the current CMS values. CMS could also use the RAND estimates as an independent estimate of the work values. In some cases, further review will identify a clinical rationale for why a code is valued differently than the RAND model predictions.

This study was funded by the Centers for Medicare & Medicaid Services. This research was conducted in RAND Health, a division of the RAND Corporation.

This report is part of the RAND research report series. RAND reports present research findings and objective analysis that address the challenges facing the public and private sectors. All RAND reports undergo rigorous peer review to ensure high standards for research quality and objectivity.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.