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Interrater reliability of the injury reporting of the injury surveillance system used in international athletics championships

Overview of attention for article published in Journal of Science and Medicine in Sport, March 2018
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)

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Title
Interrater reliability of the injury reporting of the injury surveillance system used in international athletics championships
Published in
Journal of Science and Medicine in Sport, March 2018
DOI 10.1016/j.jsams.2018.02.001
Pubmed ID
Authors

Pascal Edouard, Astrid Junge, Marianna Kiss-Polauf, Christophe Ramirez, Monica Sousa, Toomas Timpka, Pedro Branco

Abstract

The quality of epidemiological injury data depends on the reliability of reporting to an injury surveillance system. Ascertaining whether all physicians/physiotherapists report the same information for the same injury case is of major interest to determine data validity. The aim of this study was therefore to analyse the data collection reliability through the analysis of the interrater reliability. Cross-sectional survey. During the 2016 European Athletics Advanced Athletics Medicine Course in Amsterdam, all national medical teams were asked to complete seven virtual case reports on a standardised injury report form using the same definitions and classifications of injuries as the international athletics championships injury surveillance protocol. The completeness of data and the Fleiss' kappa coefficients for the inter-rater reliability were calculated for: sex, age, event, circumstance, location, type, assumed cause and estimated time-loss. Forty-one team physicians and physiotherapists of national medical teams participated in the study (response rate 89.1%). Data completeness was 96.9%. The Fleiss' kappa coefficients were: almost perfect for sex (k=1), injury location (k=0.991), event (k=0.953), circumstance (k=0.942), and age (k=0.870), moderate for type (k=0.507), fair for assumed cause (k=0.394), and poor for estimated time-loss (k=0.155). The injury surveillance system used during international athletics championships provided reliable data for "sex", "location", "event", "circumstance", and "age". More caution should be taken for "assumed cause" and "type", and even more for "estimated time-loss". This injury surveillance system displays satisfactory data quality (reliable data and high data completeness), and thus, can be recommended as tool to collect epidemiology information on injuries during international athletics championships.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 11%
Researcher 4 11%
Student > Bachelor 3 9%
Student > Master 3 9%
Student > Ph. D. Student 2 6%
Other 4 11%
Unknown 15 43%
Readers by discipline Count As %
Medicine and Dentistry 6 17%
Sports and Recreations 4 11%
Nursing and Health Professions 3 9%
Computer Science 2 6%
Social Sciences 2 6%
Other 1 3%
Unknown 17 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 December 2019.
All research outputs
#7,346,235
of 25,382,440 outputs
Outputs from Journal of Science and Medicine in Sport
#1,428
of 2,874 outputs
Outputs of similar age
#121,831
of 346,135 outputs
Outputs of similar age from Journal of Science and Medicine in Sport
#38
of 52 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,874 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 346,135 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.