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The association of patient and trauma characteristics with the health-related quality of life in a Dutch trauma population

Overview of attention for article published in Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, April 2017
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Title
The association of patient and trauma characteristics with the health-related quality of life in a Dutch trauma population
Published in
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, April 2017
DOI 10.1186/s13049-017-0375-z
Pubmed ID
Authors

Amy Gunning, Mark van Heijl, Karlijn van Wessem, Luke Leenen

Abstract

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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Researcher 7 10%
Student > Ph. D. Student 7 10%
Other 5 7%
Lecturer 3 4%
Other 8 11%
Unknown 29 40%
Readers by discipline Count As %
Medicine and Dentistry 20 28%
Nursing and Health Professions 6 8%
Business, Management and Accounting 2 3%
Economics, Econometrics and Finance 2 3%
Agricultural and Biological Sciences 2 3%
Other 9 13%
Unknown 31 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2017.
All research outputs
#14,340,404
of 22,963,381 outputs
Outputs from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#919
of 1,263 outputs
Outputs of similar age
#172,710
of 308,964 outputs
Outputs of similar age from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#30
of 36 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,263 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 308,964 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.