Original research
Using video analysis for concussion surveillance in Australian football

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Abstract

Objectives

The objectives of the study were to assess the relationship between various player and game factors and risk of concussion; and to assess the reliability of video analysis for mechanistic assessment of concussion in Australian football.

Methods

All impacts and collisions resulting in concussion were identified during the 2011 Australian Football League season. An extensive list of factors for assessment was created based upon previous analysis of concussion in Australian Football League and expert opinions. The authors independently reviewed the video clips and correlation for each factor was examined.

Results

A total of 82 concussions were reported in 194 games (rate: 8.7 concussions per 1000 match hours; 95% confidence interval: 6.9–10.5). Player demographics and game variables such as venue, timing of the game (day, night or twilight), quarter, travel status (home or interstate) or score margin did not demonstrate a significant relationship with risk of concussion; although a higher percentage of concussions occurred in the first 5 min of game time of the quarter (36.6%), when compared to the last 5 min (20.7%). Variables with good inter-rater agreement included position on the ground, circumstances of the injury and cause of the impact. The remainder of the variables assessed had fair-poor inter-rater agreement. Common problems included insufficient or poor quality video and interpretation issues related to the definitions used.

Conclusions

Clear definitions and good quality video from multiple camera angles are required to improve the utility of video analysis for concussion surveillance in Australian football.

Introduction

Sports concussion is an important issue in active communities. In the United States, data from the Centers for Disease Control and Prevention estimate that 1.6–3.8 million concussions occur annually from participation in sport and recreational activities.1 In Australia, rates of hospitalisation for sports concussion have increased by 60.5% over a 9 year period from 2002.2 From a clinical perspective, recognising the injury and removing the player from training or competition is thought to be important in reducing the risk of adverse outcomes following concussion.3 While professional sports have moved to enhance their concussion recognition and management programs, knowledge translation to the majority of participants who compete in sub-elite, community and junior competitions, remains an ongoing challenge.4, 5, 6

In addition to a conservative approach, a comprehensive concussion management program must include measures to reduce the risk of head injury. Common preventative measures, such as the use of helmets or protective equipment, have limited evidence for their efficacy7 and are not routinely used in all sports. However, understanding the circumstances and mechanism of injury unique to each sport may facilitate development of strategies to reduce concussion risk.8 For example, stricter interpretation of the rules was demonstrated to be effective in reducing the number of head injuries related to raised elbows in heading contests in Norwegian football.9, 10

Video analysis has successfully been used to investigate the biomechanics, mechanism and situational factors surrounding concussion in a variety of sports.12, 17, 18 While video analysis potentially offers a rich source of information, clear definitions and methodology are required for reviewing such video footage if the review process is to provide valid and reliable data. Recently, Hutchinson and colleagues16 developed a “heads-up checklist” to code situational factors and injury mechanisms related to concussion in ice hockey. The factors assessed on video analysis were found to have moderate to high inter-rater agreement.16

Given the variability in game situation between sports, video criteria must be validated for each individual sport. For example, Australian football is a contact sport that is typically played without the use of helmets or other protective equipment (except for mouthguards), and it is played on large grass oval fields, with a 360° direction of play. This is very different from the mechanics of other sports that may be on smaller, rectangular, grass, artificial or ice playing-surfaces, have motion in a limited direction, and/or helmeted players. Each of these variables may modify the video assessment of concussion. Moreover, the rules of the game vary between sports and may provide a unique but effective method of concussion prevention.

Many factors affecting concussion rates in Australian football are potentially modifiable, and require careful assessment. These factors can be assessed with the use of video technology, providing clinicians and administrators a powerful tool to assist with the prevention and management of concussion. The current study used video analysis of concussion in Australian football to investigate the situational factors and mechanism of injury. The aim of the study was to assess the relationship between various player and game-related factors and risk of concussion; and to assess the reliability of video analysis for mechanistic assessment of concussion in Australian football.

Section snippets

Methods

This prospective cohort study was conducted in professional Australian football during the 2011 season. Approval for the study was obtained from the Cabrini Human Research Ethics Committee (CHREC 09-09-11-15). The Australian Football League (AFL) competition is the elite professional football code played in every state and territory in Australia. Seventeen teams played weekly games between the months of March and September during the 2011 season (22 weeks of regular season games plus four weeks

Results

A total of 82 concussions were identified over the course of the 2011 AFL season. This equates to a rate of 8.7 concussions per 1000 match hours (95% confidence interval 6.9–10.5). Videos were obtained for all cases. Seventy-two of the videos contained multiple camera angles and slow motion replays of the incident. The remainder of cases (n = 10) contained the regular video feed with no slow motion replay of the incident. All videos were included in the analysis.

The player characteristics are

Discussion

This study assessed the utility of video technology for mechanistic analysis of concussion in Australian football. The results demonstrated that few of the game related factors examined had any association with the occurrence of concussion, with the exception being the increased occurrence of concussion within the first 5 min of the quarter. Factors assessed on video review that had good inter-rater agreement included: position on the ground, circumstances of the injury and cause of the impact.

Conclusion

The ubiquitous availability of video records in professional Australian football provides a rich resource for post-game and potentially for in-game review of all concussive injuries. This study has demonstrated that many of the factors analysed in video review are subject to inter-rater variability, and require clear and concise definitions, and good quality video from multiple camera angles to improve the utility in concussion management. It is apparent that the mechanistic review may be quite

Practical implications

  • Video analysis provides a rich resource for the review of mechanism of injury and potential risk factors for concussion in sport. To improve the utility of video assessment in concussion surveillance however clear definitions and good quality video from multiple camera angles are required.

  • Many of the factors assessed on video review do not relate to risk of concussion in Australian football, or demonstrate poor inter-rater reliability. These limitations need to be considered in any study on the

Acknowledgements

The authors are honorary members of the AFL concussion working group.

No external financial support was received for this study.

The authors wish to thank: Dr Margaret Staples for statistical advice and assistance with data analysis; Dr Hugh Seward (CEO, AFL Doctors Association (AFLDA)), Dr Andrew Potter (President, AFLDA), members of the AFLDA, Mr Shane McCurry (AFL Manager – Research and Football projects); Dr Patrick Clifton (AFL Football Research Analyst) and Dr Peter Harcourt (AFL Medical

References (17)

  • J.A. Langlois et al.

    The epidemiology and impact of traumatic brain injury: a brief overview

    J Head Trauma Rehabil

    (2006)
  • C.F. Finch et al.

    Increasing incidence of hospitalisation for sport-related concussion in Victoria, Australia

    Med J Aust

    (2013)
  • P. McCrory et al.

    Consensus statement on concussion in sport: the 4th International Conference on Concussion in Sport held in Zurich, November 2012

    Br J Sports Med

    (2013)
  • C. Provvidenza et al.

    From consensus to action: knowledge transfer, education and influencing policy on sports concussion

    Br J Sports Med

    (2013)
  • P.E. White et al.

    Knowledge about sports-related concussion: is the message getting through to coaches and trainers?

    Br J Sports Med

    (2014)
  • D. King et al.

    Assessment, management and knowledge of sport-related concussion: systematic review

    Sports Med

    (2014)
  • B.W. Benson et al.

    What are the most effective risk-reduction strategies in sport concussion?

    Br J Sports Med

    (2013)
  • R. Bahr et al.

    Understanding injury mechanisms: a key component of preventing injuries in sport

    Br J Sports Med

    (2005)
There are more references available in the full text version of this article.

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