Evaluation of the DAVROS (Development And Validation of Risk-adjusted Outcomes for Systems of emergency care) risk-adjustment model as a quality indicator for healthcare..pdf (143.18 kB)
Download file

Evaluation of the DAVROS (Development And Validation of Risk-adjusted Outcomes for Systems of emergency care) risk-adjustment model as a quality indicator for healthcare.

Download (143.18 kB)
journal contribution
posted on 05.01.2016, 11:46 by Richard Wilson, Steve W. Goodacre, Marcin Klingbajl, Anne-Maree Kelly, Tim Rainer, Tim Coats, Vikki Holloway, Will Townend, Steve Crane
BACKGROUND AND OBJECTIVE: Risk-adjusted mortality rates can be used as a quality indicator if it is assumed that the discrepancy between predicted and actual mortality can be attributed to the quality of healthcare (ie, the model has attributional validity). The Development And Validation of Risk-adjusted Outcomes for Systems of emergency care (DAVROS) model predicts 7-day mortality in emergency medical admissions. We aimed to test this assumption by evaluating the attributional validity of the DAVROS risk-adjustment model. METHODS: We selected cases that had the greatest discrepancy between observed mortality and predicted probability of mortality from seven hospitals involved in validation of the DAVROS risk-adjustment model. Reviewers at each hospital assessed hospital records to determine whether the discrepancy between predicted and actual mortality could be explained by the healthcare provided. RESULTS: We received 232/280 (83%) completed review forms relating to 179 unexpected deaths and 53 unexpected survivors. The healthcare system was judged to have potentially contributed to 10/179 (8%) of the unexpected deaths and 26/53 (49%) of the unexpected survivors. Failure of the model to appropriately predict risk was judged to be responsible for 135/179 (75%) of the unexpected deaths and 2/53 (4%) of the unexpected survivors. Some 10/53 (19%) of the unexpected survivors died within a few months of the 7-day period of model prediction. CONCLUSIONS: We found little evidence that deaths occurring in patients with a low predicted mortality from risk-adjustment could be attributed to the quality of healthcare provided.

History

Citation

Emergency Medicine Journal, 2014, 31 (6), pp. 471-475

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Cardiovascular Sciences

Version

VoR (Version of Record)

Published in

Emergency Medicine Journal

Publisher

BMJ Publishing Group for College of Emergency Medicine

issn

1472-0205

eissn

1472-0213

Copyright date

2014

Available date

05/01/2016

Publisher version

http://emj.bmj.com/content/31/6/471

Language

en