Literature DB >> 20971681

Level of agreement between field-based data collectors in a large scale injury prevention randomised controlled trial.

Dara M Twomey1, Caroline F Finch, Tim L A Doyle, Bruce C Elliott, David G Lloyd.   

Abstract

In sports injury prevention field trials, data collectors are often club volunteers with considerable knowledge of the game but with limited detailed medical backgrounds or knowledge of formal scientific processes. The aim of this paper is to determine the agreement among trained primary data collectors (PDCs) with a sport science background and no prior involvement in data collection in a large randomised controlled trial. During the 'Preventing Australian Football Injury through eXercise' (PAFIX) project, player participation and injury data were collected by trained PDCs at training and games over the 2007 and 2008 playing seasons in 40 community level Australian football teams. PDC-collected data relating to player exposure and whether or not a player sustained an injury and subsequently left the field of play was compared to the same information from independent observers (IOs) who attended one randomly selected game for each of the 40 teams. There was 98% agreement between the PDC and the IO on game details (i.e., date, time, grade and score), 79% (ICC 0.9, 95% CI 0.85-0.95) agreement on the number of players per game and 76% (ICC 0.8, 95% CI 0.69-0.91) agreement on the number of injuries sustained in the games. There was 100% agreement on whether the player left the field for all injuries. This study found that exercise and sport science students are reliable data collectors in sports injury fieldwork studies.
Copyright © 2010 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20971681     DOI: 10.1016/j.jsams.2010.09.003

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  6 in total

1.  Preventing Australian football injuries with a targeted neuromuscular control exercise programme: comparative injury rates from a training intervention delivered in a clustered randomised controlled trial.

Authors:  Caroline F Finch; Dara M Twomey; Lauren V Fortington; Tim L A Doyle; Bruce C Elliott; Muhammad Akram; David G Lloyd
Journal:  Inj Prev       Date:  2015-09-23       Impact factor: 2.399

2.  Concussion in community Australian football - epidemiological monitoring of the causes and immediate impact on play.

Authors:  Lauren V Fortington; Dara M Twomey; Caroline F Finch
Journal:  Inj Epidemiol       Date:  2015-09-10

3.  The reach and adoption of a coach-led exercise training programme in community football.

Authors:  Caroline F Finch; Kathy Diamantopoulou; Dara M Twomey; Tim L A Doyle; David G Lloyd; Warren Young; Bruce C Elliott
Journal:  Br J Sports Med       Date:  2013-03-12       Impact factor: 13.800

4.  What do community football players think about different exercise-training programmes? Implications for the delivery of lower limb injury prevention programmes.

Authors:  Caroline F Finch; Tim L A Doyle; Alasdair R Dempsey; Bruce C Elliott; Dara M Twomey; Peta E White; Kathy Diamantopoulou; Warren Young; David G Lloyd
Journal:  Br J Sports Med       Date:  2013-09-18       Impact factor: 13.800

5.  Coding OSICS sports injury diagnoses in epidemiological studies: does the background of the coder matter?

Authors:  Caroline F Finch; John W Orchard; Dara M Twomey; Muhammad Saad Saleem; Christina L Ekegren; David G Lloyd; Bruce C Elliott
Journal:  Br J Sports Med       Date:  2012-08-23       Impact factor: 13.800

6.  Categorising sports injuries in epidemiological studies: the subsequent injury categorisation (SIC) model to address multiple, recurrent and exacerbation of injuries.

Authors:  Caroline F Finch; Jill Cook
Journal:  Br J Sports Med       Date:  2013-03-16       Impact factor: 13.800

  6 in total

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