A Description of Expensive and Long-Staying Patients

Sally Trude, Grace M. Carter

ResearchPublished 1989

To limit the risk to hospital finances associated with extremely long or expensive patient stays, Medicare supplements the predetermined payments of its Prospective Payment System with outlier payments. However, because outlier cases still cause losses, hospitals have incentives to discourage admissions of potential outliers if these cases can be identified prior to admission. The study reported in this Note used patient characteristics (demographics, chronic disease conditions, number of diseased body systems, and prior hospitalizations) to describe the 5 percent of cases with the largest losses, the 5 percent of longest stays within each diagnosis-related group, and a measure of accounting profit for the case. The Note describes multivariate models of patient characteristics, compares long-stay cases with extreme-loss cases, and discusses the relationship between the hospital and patient characteristics. Finally, it relates the results of the analysis to policy concerns.

Order a Print Copy

Format
Paperback
Page count
58 pages
List Price
$23.00
Buy link
Add to Cart

Document Details

  • Availability: Available
  • Year: 1989
  • Print Format: Paperback
  • Paperback Pages: 58
  • Paperback Price: $23.00
  • Document Number: N-2998-HCFA

Citation

RAND Style Manual
Trude, Sally and Grace M. Carter, A Description of Expensive and Long-Staying Patients, RAND Corporation, N-2998-HCFA, 1989. As of September 17, 2024: https://www.rand.org/pubs/notes/N2998.html
Chicago Manual of Style
Trude, Sally and Grace M. Carter, A Description of Expensive and Long-Staying Patients. Santa Monica, CA: RAND Corporation, 1989. https://www.rand.org/pubs/notes/N2998.html. Also available in print form.
BibTeX RIS

This publication is part of the RAND note series. The note was a product of RAND from 1979 to 1993 that reported miscellaneous outputs of sponsored research for general distribution.

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.