The Efficient Measurement of Resource Utilisation in Clinical Trials in Critical Care
Year: 2014
Type: dissertation
Abstract: The aim of this study was to compare the accuracy of the estimation of resource utilisation using various methods applied to a comprehensive database of TISS scores and total ICU resource utilisation as measured by total ICU costs. \nThe data was collected in the Medical Intensive Care Unit at the University of Aachen Hospital. After descriptive analysis, linear regression was used to describe the relationship between ICU length of stay and total ICU costs, and total TISS-28 score and total ICU costs. A parsimonious linear regression model was developed with total ICU costs as the dependent variable, and ICU length of stay and each of the TISS components as the independent variables. The regression models to predict costs using ICU length of stay, the total TISS-28 score and the final parsimonious model were compared using adjusted R2 values and their 95% confidence limits. \nThe parsimonious regression model showed a significant relationship between 9 TISS components and total ICU costs (F=560, p<0.0005, R2=0.875). Assessment of the 95% confidence limits of the adjusted R2 values revealed that the parsimonious model was significantly better at predicting total ICU costs, while using only a fraction of the data of the full TISS-28.
Author: Anthony Delaney
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W330118510