Sports Injury Surveillance: Foundations of Data Collection

2008 ◽  
pp. 32-32-12
Author(s):  
JW Powell
Author(s):  
Stephen Bailey ◽  
Ebonie Scase ◽  
Michael Heynen ◽  
Mary Magarey

Purpose: There is significant cost associated with sports injury. Establishing injury profiles in contact sports like Australian Rules Football (ARF) will facilitate implementation of injury prevention strategies. The purpose of this literature review was to investigate sports injury data collection methodology, assess the strengths and limitations of previous research and identify gaps in the relevant literature. Recommendations for methodology of future sports injury data collection studies are made, particularly with reference to junior ARF. Method: A non-systematic literature search was undertaken in a narrative fashion to determine past and current injury surveillance in Australian Rules Football (ARF), Soccer, Rugby league and Union. The comprehensive search was performed using databases Cinahl, Sport Discus, Medline, Science Direct, Scopus and Informit Health Database: Ausport. For inclusion in this review, studies had to include the collection of baseline data, be peer-reviewed and have full text versions available in English. The effect of the methodology on research outcomes was evaluated, including: epidemiology, aetiology, common mechanisms and risk factors for injury are evaluated, as are the incidence, prevalence, severity and pathologies of injury in relevant sports. Results: While other alternatives are presented and evaluated, the following criteria appear the most reliable for use in future studies. A narrow games/time lost injury definition; a similar narrow injury severity definition; and a prospective model for sports injury data collection, making use of a standardised Player Movement Record (PMR). The AFL is the only major sport in which an injury surveillance system has been created that is robust, reliable and has captured all data from all clubs over a 12 year period. This system uses all criteria outlined. Conclusions/Recommendations: A significant knowledge gap remains with respect to the analytical epidemiology of injuries at the non-elite level of participation and a very small evidence base exists for injury prevention in Australian football, especially at non-elite and junior levels. By using critically developed methodology in the form of a prospective cohort study, an updated sports injury data collection model, adequate sample size and consistent injury definition, future research will guide future injury prevention interventions in junior ARF.


2017 ◽  
Vol 24 (5) ◽  
pp. 372-380 ◽  
Author(s):  
Caroline F Finch ◽  
Carolyn Staines

BackgroundInjury prevention requires information about how, why, where and when injuries occur. The Australian Sports Injury Data Dictionary (ASIDD) was developed to guide sports injury data collection and reporting. Sports Medicine Australia (SMA) disseminated associated data collection forms and an online tool to practitioners and the sports community. This paper assesses the long-term value, usefulness and relevance of the ASIDD and SMA tools.MethodsA systematic search strategy identified both peer-reviewed and grey literature that used the ASIDD and/or the SMA tools, during 1997–2016. A text-based search was conducted within 10 electronic databases, as well as a Google Image search for the SMA tools. Documents were categorised according to ASIDD use as: (1) collected injury data; (2) informed data coding; (3) developed an injury data collection tool and/or (4) reference only.ResultsOf the 36 peer-reviewed articles, 83% directly referred to ASIDD and 17% mentioned SMA tools. ASIDD was mainly used for data coding (42%), reference (36%), data collection (17%) or resource development (14%). In contrast, 86% of 66 grey literature sources referenced, used or modified the SMA data collection forms.ConclusionsThe ASIDD boasts a long history of use and relevance. Its ongoing use by practitioners has been facilitated by the ready availability of specific data collection forms by SMA for them to apply to directly their settings. Injury prevention practitioners can be strongly engaged in injury surveillance activities when formal guidance is supported by user-friendly tools directly relevant to their settings and practice.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jagnoor Jagnoor ◽  
Manickam Ponnaiah ◽  
Matthew Varghese ◽  
Rebecca Ivers ◽  
Rajesh Kumar ◽  
...  

Abstract Background Unintentional injuries account for 10% of deaths worldwide; the majority due to road traffic injuries, falls, drowning, poisoning and burns. Effective surveillance systems provide evidence for informed injury prevention and treatment and improve recovery outcomes. Our objectives were to review existing sources of unintentional injury data, and quality of the data on the burden, distribution, risk factors and trends of unintentional injuries in India and to describe strengths and limitations of health facility-based data for potential use in injury surveillance systems. Methods We searched national and international organisations’ websites to identify unintentional injury-related mortality and morbidity data sources in India. We reviewed and evaluated data collection methods for surveillance attributes recommended by World Health Organization (WHO). We visited health facilities at all levels from public and private sectors, emergency transport centres, insurance offices and police stations in settings reporting significant number of injuries. In these sites, we interviewed key stakeholders using an explorative approach on current data collection processes and challenges to establishing an injury surveillance system based on WHO guidelines. Results Major gaps were highlighted in injury mortality and morbidity data in India, including ill-defined causes of injury deaths and lack of standardisation in classification and coding. Site visits revealed that reporting standards of injuries varied, with issues around clarity of definitions, accountability, time points and lack of reporter/coder training. Major challenges were lack of dedicated staff and training. Conclusions There is an important need to build human resource capacity, integrate data sources, standardise and streamline data collected, ensure accountability and capitalise on digital health information systems including insurance databases.


2015 ◽  
pp. 3-13 ◽  
Author(s):  
Toru Fukubayashi ◽  
Tetsuya Ogawa ◽  
Mako Fukano

2019 ◽  
Vol 54 (1) ◽  
pp. 30-41 ◽  
Author(s):  
Lauren A. Pierpoint ◽  
Andrew E. Lincoln ◽  
Nina Walker ◽  
Shane V. Caswell ◽  
Dustin W. Currie ◽  
...  

ContextThe advent of Web-based sports injury surveillance via programs such as the High School Reporting Information Online system and the National Collegiate Athletic Association Injury Surveillance Program has aided the acquisition of boys' and men's lacrosse injury data.ObjectiveTo describe the epidemiology of injuries sustained in high school boys' lacrosse in the 2008–2009 through 2013–2014 academic years and collegiate men's lacrosse in the 2004–2005 through 2013–2014 academic years using Web-based sports injury surveillance.DesignDescriptive epidemiology study.SettingOnline injury surveillance from lacrosse teams of high school boys (annual average = 55) and collegiate men (annual average = 14).Patients or Other ParticipantsBoys' and men's lacrosse players who participated in practices and competitions during the 2008–2009 through 2013–2014 academic years in high school or the 2004–2005 through 2013–2014 academic years in college.Main Outcome Measure(s)Athletic trainers collected time-loss (≥24 hours) injury and exposure data. Injury rates per 1000 athlete-exposures (AEs), injury rate ratios (IRRs) with 95% confidence intervals (CIs), and injury proportions by body site and diagnosis were calculated.ResultsHigh School Reporting Information Online documented 1407 time-loss injuries during 662 960 AEs. The National Collegiate Athletic Association Injury Surveillance Program documented 1882 time-loss injuries during 390 029 AEs. The total injury rate from 2008–2009 through 2013–2014 was higher in college than in high school (3.77 versus 2.12/1000 AEs; IRR = 1.78; 95% CI = 1.63, 1.94). Most injuries occurred during competitions in high school (61.4%) and practices in college (61.4%). Injury rates were higher in competitions compared with practices in high school (IRR = 3.59; 95% CI = 3.23, 4.00) and college (IRR = 3.38; 95% CI = 3.08, 3.71). Lower limb injuries, muscle strains, and ligament sprains were common at both levels. Concussion was the most frequent competition diagnosis for all high school player positions.ConclusionsRates of time-loss injury were higher in college versus high school and in competitions versus practices. Attention to preventing common lower leg injuries and concussions, especially at the high school level, is essential to decrease their incidence and severity.


2019 ◽  
Vol 54 (2) ◽  
pp. 212-225 ◽  
Author(s):  
Erin B. Wasserman ◽  
Johna K. Register-Mihalik ◽  
Eric L. Sauers ◽  
Dustin W. Currie ◽  
Lauren A. Pierpoint ◽  
...  

Context The advent of Web-based sports injury surveillance via programs such as the High School Reporting Information Online system and the National Collegiate Athletic Association Injury Surveillance Program has aided the acquisition of girls' and women's softball injury data. Objective To describe the epidemiology of injuries sustained in high school girls' softball in the 2005–2006 through 2013–2014 academic years and collegiate women's softball in the 2004–2005 through 2013–2014 academic years using Web-based sports injury surveillance. Design Descriptive epidemiology study. Setting Online injury surveillance from softball teams in high school girls (annual average = 100) and collegiate women (annual average = 41). Patients or Other Participants Girls' or women's softball players who participated in practices and competitions during the 2005–2006 through 2013–2014 academic years in high school and the 2004–2005 through 2013–2014 academic years in college. Main Outcome Measure(s) Athletic trainers collected time-loss injury and exposure data. Injury rates per 1000 athlete-exposures (AEs) were calculated. Injury rate ratios (IRRs) with 95% confidence intervals (CIs) compared injury rates by competition level, school size or division, event type, and time in season. Results The High School Reporting Information Online system documented 1357 time-loss injuries during 1 173 722 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 1848 time-loss injuries during 579 553 AEs. The injury rate was higher in college than in high school (3.19 versus 1.16/1000 AEs; IRR = 2.76; 95% CI = 2.57, 2.96). The competition injury rate was higher than the practice injury rate in high school (IRR = 2.02; 95% CI = 1.82, 2.25) and in college (IRR = 1.39; 95% CI = 1.27, 1.52). Softball players at both levels sustained a variety of injuries, with the most common being ankle sprains and concussions. Many injuries also occurred while fielding or running bases. Conclusions Injury rates were greater in collegiate versus high school softball and in competitions versus practices. These findings highlight the need for injury-prevention interventions, including strength-training and prevention programs to reduce ankle sprains and provide protection for batters from pitches and fielders from batted balls.


1999 ◽  
Vol 34 (6) ◽  
pp. 745-750 ◽  
Author(s):  
Lynn A Boergerhoff ◽  
Susan Goodwin Gerberich ◽  
Aparna Anderson ◽  
Laura Kochevar ◽  
Lance Waller

2018 ◽  
Vol 53 (8) ◽  
pp. 738-751 ◽  
Author(s):  
Zachary Y. Kerr ◽  
Gary B. Wilkerson ◽  
Shane V. Caswell ◽  
Dustin W. Currie ◽  
Lauren A. Pierpoint ◽  
...  

Context: The advent of Web-based sports injury surveillance via programs such as the High School Reporting Information Online system and the National Collegiate Athletic Association Injury Surveillance Program has aided the acquisition of football injury data.Objective: To describe the epidemiology of injuries sustained in high school football in the 2005–2006 through 2013–2014 academic years and collegiate football in the 2004–2005 through 2013–2014 academic years using Web-based sports injury surveillance.Design: Descriptive epidemiology study.Setting: Online injury surveillance from football teams of high school boys (annual average = 100) and collegiate men (annual average = 43).Patients or Other Participants: Football players who participated in practices and competitions during the 2005–2006 through 2013–2014 academic years in high school or the 2004–2005 through 2013–2014 academic years in college.Main Outcome Measure(s): Athletic trainers collected time-loss injury (≥24 hours) and exposure data. Injury rates per 1000 athlete-exposures (AEs), injury rate ratios (IRRs) with 95% confidence intervals (CIs), and injury proportions by body site and diagnosis were calculated.Results: The High School Reporting Information Online system documented 18 189 time-loss injuries during 4 539 636 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 22 766 time-loss injuries during 3 121  476 AEs. The injury rate was higher among collegiate than high school (7.29 versus 4.01/1000 AEs; IRR = 1.82; 95% CI = 1.79, 1.86) athletes. Most injuries occurred during competitions in high school (53.2%) and practices in college (60.9%). The competition injury rate was higher than the practice injury rate among both high school (IRR = 5.62; 95% CI = 5.46, 5.78) and collegiate (IRR = 6.59; 95% CI = 6.41, 6.76) players. Most injuries at both levels affected the lower extremity and the shoulder/clavicle and were diagnosed as ligament sprains and muscle/tendon strains. However, concussion was a common injury during competitions among most positions.Conclusions: Injury rates were higher in college than in high school and higher for competitions than for practices. Concussion was a frequent injury sustained during competitions, which confirms the need to develop interventions to mitigate its incidence and severity.


1997 ◽  
Vol 24 (3) ◽  
pp. 164-168 ◽  
Author(s):  
Willem van Mechelen

2010 ◽  
Vol 45 (3) ◽  
pp. 238-242 ◽  
Author(s):  
Melissa A. Schiff ◽  
Christopher D. Mack ◽  
Nayak L. Polissar ◽  
Marni R. Levy ◽  
Sara P. Dow ◽  
...  

Abstract Context: Few authors have evaluated sports injury-surveillance systems that use parental, Internet-based surveys for data collection. Objective: To determine whether certified athletic trainers (ATs) and parental, Internet-based surveys provided comparable data for identifying soccer injuries. Design: Prospective feasibility cohort study. Setting: A soccer association in Seattle, Washington. Patients or Other Participants: Eighty female youth soccer players, ages 12 to 14 years. Main Outcome Measure(s): We compared the data provided by ATs attending 1 soccer practice per week with a weekly soccer-parent, Internet-based system. We measured athlete-exposure hours (AEHs) for each player. We compared injury rates reported by ATs only, Internet-based surveys only, and both systems combined. We evaluated the 2 surveillance systems for agreement on injured body region and laterality of injury using the κ statistic. Results: For ATs only, Internet-based surveys only, and both systems combined, we found acute injury rates of 3.0 per 1000 AEHs, 3.9 per 1000 AEHs, and 4.7 per 1000 AEHs and overuse injury rates of 1.0 per 1000 AEHs, 2.9 per 1000 AEHs, and 2.9 per 1000 AEHs, respectively. Players sustained 27 acute injuries (44% ankle, 11% knee, 11% hip) reported by at least 1 of the 2 systems, with 63% reported by ATs and 85% by Internet-based survey. Players sustained 17 overuse injuries (35% knee, 29% lower leg) reported by either system, with 35% reported by ATs and 100% by Internet-based survey. Among players for whom we had both ATs' and Internet-based survey injury data, body region injured and laterality had very good agreement (κ  =  0.73 to 1.0). Conclusions: The injury rate based on the weekly parental, Internet-based survey was similar to the rate based on the ATs' reporting and had comparable classifications of injured body region and laterality of injury.


Sign in / Sign up

Export Citation Format

Share Document