Dataset Information

Creating Prep to Play PRO for women playing elite Australian football: A how-to guide for developing injury-prevention programs.

ABSTRACT:

Background

Developing context-specific, evidence-informed, and implementable injury-prevention programs is challenging. Women playing in the elite Australian Football League for Women are at high risk of serious knee injuries, and no specific injury-prevention program exists. The objective of the study was to describe the collaborative process used to create a context-specific injury-prevention program.

Methods

A previously used intervention-development process was modified to incorporate a partnership with the sport's governing organization and focus on engaging program implementers. The Reach Effectiveness Adoption Implementation and Maintenance (RE-AIM) Sports Setting Matrix guided program development and implementation strategies.

Results

The 7-step process, aligned with the RE-AIM Sports Setting Matrix, was applied to develop the injury-prevention program and was titled Prep to Play PRO. The steps were: (Step 1) gaining organizational support and establishing a project partnership; (Step 2) using research evidence and clinical experience; (Step 3) consulting content and context experts; (Step 4) engaging the organization, experts, program implementers, and end-users to concreate the intervention and develop implementation strategies; (Step 5) testing the intervention acceptability and feasibility; (Step 6) evaluating the intervention and implementation strategies against theory; and (Step 7) obtaining feedback from early implementers and end-users.

Conclusion

Engaging critical stakeholders at multiple ecological levels (organization, team, and athlete) throughout program development and implementation planning support real-world use. The processes and activities described can guide future sports injury-prevention program development and implementation.

SUBMITTER: Bruder AM

PROVIDER: S-EPMC9923429 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Publications

Creating Prep to Play PRO for women playing elite Australian football: A how-to guide for developing injury-prevention programs.

Bruder Andrea M AM Donaldson Alex A Mosler Andrea B AB Patterson Brooke E BE Haberfield Melissa M Mentiplay Benjamin F BF Clifton Patrick P Livingstone Nicole D ND Crossley Kay M KM

Journal of sport and health science 20210920 1

<h4>Background</h4>Developing context-specific, evidence-informed, and implementable injury-prevention programs is challenging. Women playing in the elite Australian Football League for Women are at high risk of serious knee injuries, and no specific injury-prevention program exists. The objective of the study was to describe the collaborative process used to create a context-specific injury-prevention program.<h4>Methods</h4>A previously used intervention-development process was modified to inc ...[more]

PMID: 34547480

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Project description:IntroductionDue to the increase in participation and risk of anterior cruciate ligament (ACL) injuries and concussion in women's Australian Football, an injury prevention programme (Prep-to-Play) was codesigned with consumers (eg, coaches, players) and stakeholders (eg, the Australian Football League). The impact of supported and unsupported interventions on the use of Prep-to-Play (primary aim) and injury rates (secondary aim) will be evaluated in women and girls playing community Australian Football.Methods and analysisThis stepped-wedge, cluster randomised controlled trial will include ≥140 teams from U16, U18 or senior women's competitions. All 10 geographically separated clusters (each containing ≥14 teams) will start in the control (unsupported) phase and be randomised to one of five dates (or 'wedges') during the 2021 or 2022 season to sequentially transition to the intervention (supported Prep-to-Play), until all teams receive the intervention. Prep-to-Play includes four elements: a neuromuscular training warm-up, contact-focussed football skills (eg, tackling), strength exercises and education (eg, technique cues). When transitioning to supported interventions, study physiotherapists will deliver a workshop to coaches and player leaders on how to use Prep-to-Play, attend team training at least two times and provide ongoing support. In the unsupported phase, team will continue usual routines and may freely access available Prep-to-Play resources online (eg, posters and videos about the four elements), but without additional face-to-face support. Outcomes will be evaluated throughout the 2021 and 2022 seasons (~14 weeks per season).Primary outcomeuse of Prep-to-Play will be reported via a team designate (weekly) and an independent observer (five visits over the two seasons) and defined as the team completing 75% of the programme, two-thirds (67%) of the time.Secondary outcomesinjuries will be reported by the team sports trainer and/or players. Injury definition: any injury occurring during a football match or training that results in: (1) being unable to return to the field of play for that match or (2) missing ≥ one match. Outcomes in the supported and unsupported phases will be compared using a generalised linear mixed model adjusting for clustering and time. Due to the type III hybrid implementation-effectiveness design, the study is powered to detect a improvement in use of Prep-to-Play and a reduction in ACL injuries.Ethics and disseminationLa Trobe University Ethics Committee (HREC 20488) approved. Coaches provided informed consent to receive the supported intervention and players provided consent to be contacted if they sustained a head or knee injury. Results will be disseminated through partner organisations, peer-reviewed publications and scientific conferences.Trial registration numberNCT04856241.

Project description:Introduction: Accurate interpretation of activity profile data requires an understanding of the variables influencing player movement during matches. Methods: Over 65,000 stints (player rotations) from all 207 matches of the 2018 Australian Football League (AFL) season were evaluated. The relative activity profile including total distance per minute (TD), high-speed running distance per minute (HSR) and Player LoadTM per minute (PL) was determined for each stint and analysed against a range of match-related, player-related and environment-related predictor variables using multivariate linear mixed modelling. Effect size statistics along with the uncertainty in the estimates (95% confidence interval) were used to interpret the findings. Results: The smallest important effects on TD, HSR, and PL were calculated as 1.5%, 5.5%, and 2.4%, respectively. Stint duration had small to moderate negative effects on TD (-6%), PL (-7.7%), and HSR (-13%), while recovery duration between stints had a small positive effect on HSR (+7%). There were moderate reductions in TD (-8%), HSR (-23%), and PL (-9.6%) in the last quarter compared to the first quarter of matches, while similar reductions existed in subsequent stints compared to the first stint in each quarter. Moderate to large differences of up to 9% in TD, 48% in HSR and 12% in PL existed between positions. The TD of less experienced players was slightly higher than their more experienced counterparts (2-3%). A 5% increase in body mass was associated with a small reduction in HSR (-5.5%). There were small reductions in TD (-2%), HSR (-10%), and PL (-3%) during the Finals Series compared to the Premiership Season. Moderate levels of rainfall during matches and higher apparent temperatures had small negative effects on TD (-2%) and HSR (-6 and -9%). The number of days break between matches, score margin, match outcome, ground hardness, ground size, and traveling for the current or the previous match had trivial effects on the activity profile. Conclusion: Player position and stage of the match (quarter) had the largest effects on match activity profile while stint duration, recovery duration, stint timing, professional experience, body mass, stage of the season, and weather conditions also had substantial effects.

Project description:BackgroundElite junior Australian football players experience high training loads across levels of competition and training. This, in conjunction with impaired wellness, can predispose athletes to injury.HypothesisElite junior Australian football players exposed to high loads with poor wellness are more likely to be at risk of injury than those with improved wellness.Study designLongitudinal prospective cohort study.Level of evidenceLevel 3.MethodsData were collected and analyzed from 280 players across the 2014 season. Internal load was measured via session rating of perceived exertion. Player wellness was reported according to ratings of sleep quality, fatigue, soreness, stress, and mood. Week- and month-based training load measures were calculated, representing a combination of absolute and relative load variables. Principal component analysis factor loadings, based on 17 load and wellness variables, were used to calculate summed variable covariates. Injury was defined as "any injury leading to a missed training session or competitive match." Associations between covariates and injury risk (yes/no) were determined via logistic generalized estimating equations.ResultsA significant interaction term between load and wellness on injury was found [odds ratio (OR) 0.76; 95% CI 0.62-0.92; P < 0.01), indicating that wellness acts as a "dimmer switch" of load on injury. Further, there was evidence of moderated mediation (OR 0.71; 95% CI 0.57-0.87; P < 0.01). When wellness was low, injury risk started to increase substantially at a 1-week load of 3250 au.ConclusionsSubjective measures of training load are associated with injury risk through a nonlinear relationship. This relationship is further influenced by player wellness, which can amplify the risk of injury. There is evidence that higher stress is linked with injury and that soreness and sleep mediate any stress-injury relationship.Clinical relevanceCoaching efforts to manage training load and player adaptive responses, including wellness, may reduce the risk of injury, with stress, soreness, and sleep particularly relevant at this level.

Project description:BackgroundLateral ankle sprain (LAS) is one of the most common types of injury in football (soccer). Normative baseline data of performance tests for Return to Play (RTP) decision are still lacking.PurposeThe primary aim of this study was to generate baseline values for uninjured elite youth football players for a multifactorial RTP assessment and compare with previously published data. A secondary aim was to investigate the use of the Limb Symmetry Index (LSI) as a method to determine whether an athlete passes a performance test or not.Study designObservational Cohort study.MethodsBaseline data of performance tests (Y-Balance [YBT-LQ], Heel Rise [HRT]; Singe Leg Squat [SLST]; Single Leg Drop Jump [SLDJ]; Side Hop [SHT]; Figure of 8 Hop [F-8]; Modified Agility T-Test [MAT]) were assessed in 20 elite youth football players, aged 16-21 years. Additionally, the traditional LSI (dividing the result of the non-dominant leg by the result of the dominant leg and multiplying by 100) and directionally corrected LSI (the worst value is divided by the better value and multiplied by 100) were calculated. The test values were compared to previously reported study results. LSI and side-to-side comparisons between dominant and non-dominant leg sides were analyzed using the Wilcoxon test.ResultsMale elite youth football players achieved better results in the dynamic performance tests (SHT, F-8, and MAT) compared to reference values of the cohorts previously described in the literature: YBT-LQ total score (cm) dominant (dom) 99.3±8.3, non-dominant (ND) 99.5±10.4; HRT (average number) dom. 27.1±5.4, ND 25.2±5.1); SLDJ height (cm) dom 15±5, ND 15±5 and contact time (sec) dom 0.29±0.08, ND 0.29±0.07, Reactive Strength Index (RSI) dom 0.52±0.12, ND 0.50±0.13); SHT (sec) dom 7.12±0.73, ND 7.39±0.93; F-8 (sec) dom 10.52±1.02, ND 10.37±1.04; and MAT (sec) 5.82±0.22. Directionally corrected LSI differed significantly from the traditional calculated LSI (p<0.05).ConclusionThe findings of this study highlight the need to determine specific baseline data for RTP testing in male elite youth football players after LAS. The traditional LSI should not be used as a "stand alone method" for determining RTP. LSI calculations should consider the direction of asymmetry to determine passing a performance test or not.Level of evidence3b.

Dataset Information

Creating Prep to Play PRO for women playing elite Australian football: A how-to guide for developing injury-prevention programs.

Background

Methods

Results

Conclusion

Publications

Creating Prep to Play PRO for women playing elite Australian football: A how-to guide for developing injury-prevention programs.

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