Citation

Gunning A, van Heijl M, van Wessem K, Leenen L. Scand. J. Trauma Resusc. Emerg. Med. 2017; 25(1): e41.

Affiliation

Department of Trauma Surgery, University Medical Center Utrecht, Suite: G04.228, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.

Copyright

(Copyright © 2017, Scandinavian Networking Group on Trauma and Emergency Management, Publisher Holtzbrinck Springer Nature Publishing Group - BMC)

DOI

10.1186/s13049-017-0375-z

PMID

28410604

Abstract

BACKGROUND: It is suggested in literature to use the Health Related Quality of Life (HRQoL) as an outcome indicator for evaluating trauma centre performances. In order to predict HRQoL, characteristics that could be of influence on a predictive model should be identified. This study identifies patient and injury characteristics associated with the HRQoL in a general trauma population.

METHODS: Retrospective study of trauma patients admitted from 1st January 2007 through 31th December 2012. Patients were aged ≥18 years and discharged alive from the level I trauma centre. A combined health survey (SF-36 and EQ-5D) was sent to all traceable patients. The subdomain outcomes and EQ-5D index value (EQ-5Di) were compared with the reference population. A linear regression analysis was performed to identify parameters associated parameters with the HRQoL outcome.

RESULTS: A total of 1870 patients were included for analyses. Compared to the eligible population, included patients were significantly older, more severely injured, more often admitted in the ICU and had a longer admission duration. The SF-36 and EQ-5Di were significantly lower compared to the Dutch reference population. The variables age, Injury Severity Score, hospital length of stay, ICU length of stay, Revised Trauma Score, probability of survival, and severe injury to the head and extremities were associated with the HRQoL in the majority of the subdomains.

DISCUSSION: In order to use HRQoL as an indicator for trauma centre performances, there should be a consensus of the ideal timing for the measurement of HRQoL post-injury and the appropriate HRQoL instrument. Furthermore, standardised HRQoL outcomes must be developed.

CONCLUSION: This study revealed eight factors (described above) which could be used to predict the HRQoL in trauma patients.

Language: en

Keywords

Benchmarking trauma systems; Factors associated with functional outcome; Level I trauma population; Nonfatal outcome; Quality of life; Trauma centre performances; Trauma patient outcome; Trauma patients