An Evaluation of Multiple Trauma Severity Indices Created by Different Index Development Strategies

Datos Bibliográficos

ID9103312
AutoresDavid H Gustafson (0000-0001-9787-6428, National Research Center for Preventive Medicine, autor de correspondencia), Dennis G Fryback (University of Wisconsin–Madison), Jerry H Rose (University of Wisconsin–Madison), Constance T Prokop (Oklahoma State University Center for Health Sciences), Don E Detmer (University of Wisconsin–Madison), Joseph C Rossmeissl (Oklahoma State University Center for Health Sciences), Charles Taylor (0000-0002-5202-3445, Oklahoma State University Center for Health Sciences), Charles M Taylor, Farrokh Alemi (0000-0002-7402-9063, Oklahoma State University Center for Health Sciences), Anthony J Carnazzo (Creighton University)
Año1983
Volumen21
Número7
Páginas674-691
Fecha de publicación1983-07-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-198307000-00002
PMID6888025
OpenAlexW2023129570
IdiomaEN
Citas recibidas2
Referencias citadas4

Evaluation of the effectiveness of emergency trauma care systems is complicated by the need to adjust for the widely variable case mix found in trauma patient populations. Several strategies have been advanced to construct the severity indices that can control for these population differences. This article describes a validity and reliability comparison of trauma severity indices developed under three different approaches: 1) use of a multi-attribute utility (MAU) model; 2) an actuarial approach relying on empirical data bases; and 3) an "ad hoc" approach. Seven criteria were identified to serve as standards of comparison for four different indices. The study's findings indicate that the index developed using the MAU theory approach associates most closely with physician judgments of trauma severity. When correlated with a morbidity outcome measure, the MAU-based index shows higher levels of agreement than the other indices. The index development approach based on the principles of MAU theory has several advantages and it appears to be a powerful tool in the creation of effective severity indices

Actuarial science · Construct (python library) · Economics · Environmental health · Index (typography) · Population · Reliability (semiconductor) · Statistics · Computer Science · Emergency and Acute Care Studies · Mathematics · Medical Coding and Health Information · Medicine · Psychology · Trauma and Emergency Care Studies