The evaluation of screening methods to identify medically unnecessary hospital stay for patients with pneumonia.

Published

Journal Article

This study compared three methods to screen charts of pneumonia patients for excess days.A derivation data set was used to statistically derive a severity measure to predict length of stay for pneumonia patients and to refine a clinical algorithm for identifying excess stay. A validation data set was used to compare three computerized methods to screen for unnecessary hospital days: (1) an observed length of stay greater than a target value; (2) an observed stay greater than predicted for the specific patient; and (3) an algorithm that tested whether there were clinical justifications for the entire hospital stay.The sensitivity and specificity for detecting excess stay for the three methods were (1) 0.48 and 0.85 for the observed stay greater than the target value; (2) 0.56 and 0.73 for observed stay greater than predicted; and (3) 0.83 and 0.85 for the algorithm.These results suggest that computerized clinical algorithms may provide a useful method to detect unnecessary hospital stay.

Full Text

Duke Authors

Cited Authors

  • Hartz, AJ; Bade, PF; Sigmann, P; Guse, C; Epple, P; Goldberg, KC

Published Date

  • February 1996

Published In

Volume / Issue

  • 8 / 1

Start / End Page

  • 3 - 11

PubMed ID

  • 8680814

Pubmed Central ID

  • 8680814

Electronic International Standard Serial Number (EISSN)

  • 1464-3677

International Standard Serial Number (ISSN)

  • 1353-4505

Digital Object Identifier (DOI)

  • 10.1093/intqhc/8.1.3

Language

  • eng