• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Theses
  • Research Data
  • Projects
  • Organizations
  • Researchers
  • More
  • Collections
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. Effect of mortality prediction models on resource use benchmarking of intensive care units.
 

Effect of mortality prediction models on resource use benchmarking of intensive care units.

Options
  • Details
  • Files
BORIS DOI
10.48350/196141
Publisher DOI
10.1016/j.jcrc.2024.154814
PubMed ID
38643569
Description
PURPOSE

Intensive care requires extensive resources. The ICUs' resource use can be compared using standardized resource use ratios (SRURs). We assessed the effect of mortality prediction models on the SRURs.

MATERIALS AND METHODS

We compared SRURs using different mortality prediction models: the recent Finnish Intensive Care Consortium (FICC) model and the SAPS-II model (n = 68,914 admissions). We allocated the resources to severity of illness strata using deciles of predicted mortality. In each risk and year stratum, we calculated the expected resource use per survivor from our modelling approaches using length of ICU stay and Therapeutic Intervention Scoring System (TISS) points.

RESULTS

Resource use per survivor increased from one length of stay (LOS) day and around 50 TISS points in the first decile to 10 LOS-days and 450 TISS in the tenth decile for both risk scoring systems. The FICC model predicted mortality risk accurately whereas the SAPS-II grossly overestimated the risk of death. Despite this, SRURs were practically identical and consistent.

CONCLUSIONS

SRURs provide a robust tool for benchmarking resource use within and between ICUs. SRURs can be used for benchmarking even if recently calibrated risk scores for the specific population are not available.
Date of Publication
2024-08
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Keyword(s)
Cost control Health care benchmarking Health resources Hospital mortality Intensive care unit Resource allocation
Language(s)
en
Contributor(s)
Moser, Andréorcid-logo
Department of Clinical Research (DCR) - Statistics & Methodology
Clinical Trials Unit Bern (CTU) - Statistics & Methodology
Department of Clinical Research (DCR)
Raj, Rahul
Reinikainen, Matti
Jakob, Stephan
Universitätsklinik für Intensivmedizin
Takala, Jukka
Universitätsklinik für Intensivmedizin
Additional Credits
Department of Clinical Research (DCR) - Statistics & Methodology
Universitätsklinik für Intensivmedizin
Series
Journal of critical care
Publisher
Elsevier
ISSN
0883-9441
Access(Rights)
open.access
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: dd892c [ 9.04. 8:30]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
  • Events
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo