Recognizing Preventable Death: Is There a Role of Survival Prediction Algorithms?

Details

Serval ID
serval:BIB_57697AB42C3A
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Recognizing Preventable Death: Is There a Role of Survival Prediction Algorithms?
Journal
Anesthesiology clinics
Author(s)
Radke O.C., Heim C.
ISSN
1932-2275 (Print)
ISSN-L
1932-2275
Publication state
Published
Issued date
03/2019
Peer-reviewed
Oui
Volume
37
Number
1
Pages
1-11
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Abstract
Monitoring the quality of trauma care is important but particularly challenging. Preventable death assessment aims to identify those cases where the patient's death would have not occurred if the patient had been treated differently. Determination of preventable death in trauma care is often based on calculated probability of survival, commonly by using the Trauma and Injury Severity Score (TRISS). TRISS is not suited for identifying all cases with opportunities for improvement. Combined with other methods such as morbidity and mortality conferences, however, it might be a valid approach if a complete review of all trauma deaths is not feasible at an institution.
Keywords
Algorithms, Humans, Injury Severity Score, Probability, Survival Analysis, Trauma Severity Indices, Wounds and Injuries/mortality, Benchmarking, Performance improvement, Preventable death, TRISS, Trauma
Pubmed
Create date
25/03/2019 8:30
Last modification date
20/08/2019 14:11
Usage data