Physiotherapy - Research Publications
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ItemNo Preview AvailableInjuries in Australian Rules Football: An Overview of Injury Rates, Patterns, and Mechanisms Across All Levels of Play(SAGE PUBLICATIONS INC, 2018)CONTEXT: The nature of Australian rules football (Australian football) predisposes both unique and common injuries compared with those sustained in other football codes. The game involves a combination of tackling, kicking, high-speed running (more than other football codes), and jumping. Two decades of injury surveillance has identified common injuries at the professional level (Australian Football League [AFL]). OBJECTIVE: To provide an overview of injuries in Australian rules football, including injury rates, patterns, and mechanisms across all levels of play. STUDY DESIGN: A narrative review of AFL injuries, football injury epidemiology, and biomechanical and physiological attributes of relevant injuries. RESULTS: The overall injury incidence in the 2015 season was 41.7 injuries per club per season, with a prevalence of 156.2 missed games per club per season. Lower limb injuries are most prevalent, with hamstring strains accounting for 19.1 missed games per club per season. Hamstring strains relate to the volume of high-speed running required in addition to at times having to collect the ball while running in a position of hip flexion and knee extension. Anterior cruciate ligament injuries are also prevalent and can result from contact and noncontact incidents. In the upper limb, shoulder sprains and dislocations account for 11.5 missed games per club per season and largely resulted from tackling and contact. Concussion is less common in AFL than other tackling sports but remains an important injury, which has notably become more prevalent in recent years, theorized to be due to a more conservative approach to management. Although there are less injury surveillance data for non-AFL players (women, community-level, children), many of these injuries appear to also be common across all levels of play. CLINICAL RELEVANCE: An understanding of injury profiles and mechanisms in Australian football is crucial in identifying methods to reduce injury risk and prepare players for the demands of the game.
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ItemTime-to-event analysis for sports injury research part 1: time-varying exposures(BMJ PUBLISHING GROUP, 2019-01)BACKGROUND: 'How much change in training load is too much before injury is sustained, among different athletes?' is a key question in sports medicine and sports science. To address this question the investigator/practitioner must analyse exposure variables that change over time, such as change in training load. Very few studies have included time-varying exposures (eg, training load) and time-varying effect-measure modifiers (eg, previous injury, biomechanics, sleep/stress) when studying sports injury aetiology. AIM: To discuss advanced statistical methods suitable for the complex analysis of time-varying exposures such as changes in training load and injury-related outcomes. CONTENT: Time-varying exposures and time-varying effect-measure modifiers can be used in time-to-event models to investigate sport injury aetiology. We address four key-questions (i) Does time-to-event modelling allow change in training load to be included as a time-varying exposure for sport injury development? (ii) Why is time-to-event analysis superior to other analytical concepts when analysing training-load related data that changes status over time? (iii) How can researchers include change in training load in a time-to-event analysis? and, (iv) Are researchers able to include other time-varying variables into time-to-event analyses? We emphasise that cleaning datasets, setting up the data, performing analyses with time-varying variables and interpreting the results is time-consuming, and requires dedication. It may need you to ask for assistance from methodological peers as the analytical approaches presented this paper require specialist knowledge and well-honed statistical skills. CONCLUSION: To increase knowledge about the association between changes in training load and injury, we encourage sports injury researchers to collaborate with statisticians and/or methodological epidemiologists to carefully consider applying time-to-event models to prospective sports injury data. This will ensure appropriate interpretation of time-to-event data.
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ItemThe burden of hospitalized sports-related injuries in children: an Australian population-based study, 2005-2013.(Springer Science and Business Media LLC, 2018-12-17)BACKGROUND: There is concern about recent increase and severity of sports-related injuries in children. Despite the benefits of sports participation, injuries may carry long-term health consequences. We aimed to evaluate the prevalence, characteristics and types of hospitalized sports-related injuries in children. METHODS: Population-based study of all acute sports-related injuries requiring hospitalization in children 5 to 15 years of age in New South Wales (NSW), Australia, 2005-2013. Health information was obtained from the NSW Admitted Patient Data Collection, a census of all hospital admissions from public and private hospitals. Children with a recorded ICD10-AM injury code (S00-T79) and sport-related activity code (U50-U70) were included. Prevalence and trend in injuries by age group, sporting code, body region affected and type of injury were assessed. RESULTS: There was a total of 20,034 hospitalizations for sports-related injuries (2.7% of all hospitalizations in children aged 5-15 years), involving 21,346 recorded injuries in 19,576 children. The overall population hospitalization period prevalence was 227 per 100,000 children aged 5-15 years in 2005-2013, remaining stable over time (RR 0.99; 95% CI 0.98-1.00). Football codes such as rugby league/union and soccer combined represented nearly two thirds of the total (60%). The most common body regions affected were the forearm (31%) head (15%) and hand injuries (13%). Fractures accounted for 65% of injuries followed by dislocations (10%) and traumatic brain injury (10%). Compared to other age groups, children aged 5-8 years had double the proportion of shoulder (15% vs. 7%) while 13-15 year olds had higher proportion of lower-leg (14% vs. 8%) and knee (6% vs.2%) injuries. One in seven injuries sustained while playing rugby league/union, baseball and hockey were traumatic brain injuries. A total of 444 (2.2%) of children had more than one hospitalization for sports-related injuries. CONCLUSION: On average, six children were hospitalized every day for sports-related injuries in the last decade with trends remaining stable. The most common sports involved were football codes, one in three injuries involved the forearm and two thirds were fractures. These findings can be used to inform health policy and sporting governing bodies to target preventive interventions and promote safe sports participation in children.
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ItemControlled ecological evaluation of an implemented exercise-training programme to prevent lower limb injuries in sport: population-level trends in hospital-treated injuries(BMJ PUBLISHING GROUP, 2019-04)OBJECTIVE: Exercise-training programmes have reduced lower limb injuries in trials, but their population-level effectiveness has not been reported in implementation trials. This study aimed to demonstrate that routinely collected hospital data can be used to evaluate population-level programme effectiveness. METHOD: A controlled ecological design was used to evaluate the effect of FootyFirst, an exercise-training programme, on the number of hospital-treated lower limb injuries sustained by males aged 16-50 years while participating in community-level Australian Football. FootyFirst was implemented with 'support' (FootyFirst+S) or 'without support' (FootyFirst+NS) in different geographic regions of Victoria, Australia: 22 clubs in region 1: FootyFirst+S in 2012/2013; 25 clubs in region 2: FootyFirst+NS in 2012/2013; 31 clubs region 3: control in 2012, FootyFirst+S in 2013. Interrupted time-series analysis compared injury counts across regions and against trends in the rest of Victoria. RESULTS: After 1 year of FootyFirst+S, there was a non-statistically significant decline in the number of lower limb injuries in region 1 (2012) and region 3 (2013); this was not maintained after 2 years in region 1. Compared with before FootyFirst in 2006-2011, injury count changes at the end of 2013 were: region 1: 20.0% reduction (after 2 years support); region 2: 21.5% increase (after 2 years without support); region 3: 21.8% increase (after first year no programme, second year programme with support); rest of Victoria: 12.6% increase. CONCLUSION: Ecological analyses using routinely collected hospital data show promise as the basis of population-level programme evaluation. The implementation and sustainability of sports injury prevention programmes at the population-level remains challenging.
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ItemImplementing automated external defibrillators into community sports clubs/facilities: a cross-sectional survey of community club member preparedness for medical emergencies(BMJ PUBLISHING GROUP, 2019-02)OBJECTIVE: There is a growing focus on ensuring the availability of automated external defibrillators (AED) in sport settings to assist in preventing sudden cardiac death. For the AED to be most effective, understanding how best to integrate it with wider risk management and emergency action plans (EAP) is needed. The aim of this survey was to identify sports club/facility member knowledge of AED use and club EAPs, 6 months following participation in a government-funded AED provision and cardiopulmonary resuscitation training programme. METHODS: Cross-sectional survey of community sports clubs and facilities in Victoria, Australia. Included participants were members of sports club/facilities that had been provided with an AED and basic first aid training as part of a government programme to increase access to, and awareness of, AEDs. A descriptive analysis of availability of EAPs and AEDs, together with practical scenarios on AED use and maintenance, is presented. RESULTS: From 191 respondents, more than half (56%) had no previous training in AED use. Knowledge on availability of an EAP at the club/facility was varied: 53% said yes and knew where it was located, while 41% did not have, or did not know if they had, an EAP. Responses to clinical scenarios for use of AED were mostly accurate, with the exception of being unsure how to respond when 'a participant falls to the ground and is making shaking movements.' CONCLUSIONS: While there were positive outcomes from this programme, such as half of the respondents being newly trained in emergency first aid response, further improvements are required to assist members with embedding their AED into their club/facility EAP and practices.
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ItemAdaptation, translation and reliability of the Australian 'Juniors Enjoying Cricket Safely' injury risk perception questionnaire for Sri Lanka.(BMJ, 2018)OBJECTIVES: Cricket is a very popular sport in Sri Lanka. In this setting there has been limited research; specifically, there is little knowledge of cricket injuries. To support future research possibilities, the aim of this study was to cross-culturally adapt, translate and test the reliability of an Australian-developed questionnaire for the Sri Lankan context. METHODS: The Australian 'Juniors Enjoying Cricket Safely' (JECS-Aus) injury risk perception questionnaire was cross-culturally adapted to suit the Sri Lankan context and subsequently translated into the two main languages (Sinhala and Tamil) based on standard forward-back translation. The translated questionnaires were examined for content validity by two language schoolteachers. The questionnaires were completed twice, 2 weeks apart, by two groups of school cricketers (males) aged 11-15 years (Sinhala (n=24), Tamil (n=30)) to assess reliability. Test-retest scores were evaluated for agreement. Where responses were <100% agreement, Cohen's kappa (κ) statistics were calculated. Questions with moderate-to-poor test-retest reliability (κ<0.6) were reconsidered for modification. RESULTS: Both the Sinhala and Tamil questionnaires had 100% agreement for questions on demographic data, and 88%-100% agreement for questions on participation in cricket and injury history. Of the injury risk perception questions, 72% (Sinhala) and 90% (Tamil) questions showed a substantial (κ=0.61-0.8) and almost perfect (κ=0.81-1.0) test-retest agreement. CONCLUSION: The adapted and translated JECS-SL questionnaire demonstrated strong reliability. This is the first study to adapt the JECS-Aus questionnaire for use in a different population, providing an outcome measure for assessing injury risk perceptions in Sri Lankan junior cricketers.
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ItemControlled ecological evaluation of an implemented exercise training programme to prevent lower limb injuries in sport: differences in implementation activity(BMJ PUBLISHING GROUP, 2019-12)OBJECTIVE: The public health benefits of injury prevention programmes are maximised when programmes are widely adopted and adhered to. Therefore, these programmes require appropriate implementation support. This study evaluated implementation activity outcomes associated with the implementation of FootyFirst, an exercise training injury prevention programme for community Australian football, both with (FootyFirst+S) and without (FootyFirst+NS) implementation support. METHOD: An evaluation plan based on the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) Sports Setting Matrix was applied in a controlled ecological evaluation of the implementation of FootyFirst. RE-AIM dimension-specific (range: 0-2) and total RE-AIM scores (range: 0-10) were derived by triangulating data from a number of sources (including surveys, interviews, direct observations and notes) describing FootyFirst implementation activities. The mean dimension-specific and total scores were compared for clubs in regions receiving FootyFirst+S and FootyFirst+NS, through analysis of variance. RESULTS: The mean total RE-AIM score forclubs in the FootyFirst+S regions was 2.4 times higher than for clubs in the FootyFirst+NS region (4.73 vs 1.94; 95% CI for the difference: 1.64 to 3.74). Similarly, all dimension-specific scores were significantly higher for clubs in the FootyFirst+S regions compared with clubs in the FootyFirst+NS region. In all regions, the dimension-specific scores were highest for reach and adoption, and lowest for implementation. CONCLUSION: Implementing exercise training injury prevention programmes in community sport is challenging. Delivering programme content supported by a context-specific and evidence-informed implementation plan leads to greater implementation activity, which is an important precursor to injury reductions.
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ItemEnd-user experiences with two incident and injury reporting systems designed for led outdoor activities - challenges for implementation of future data systems(BMC, 2019)BACKGROUND: Injury and incident (near miss) prevention is heavily dependent upon robust and high-quality data systems. Evaluations of surveillance systems designed to report factors associated with incidents and injuries are essential to understand their value, as well as to improve their performance and efficiency. Despite, this there have been few such evaluations published in the peer-review literature. METHODS: The attitudes and experiences of industry representatives who used one of two variants of an incident and injury surveillance system to collect injury and incident data for the led outdoor activity setting were obtained through an online self-report survey following a 12-month trial. Survey respondents were 18 representatives of 33 organisations who were users of a comprehensive incident reporting and surveillance system - the Understanding and Preventing Led Outdoor Accidents Data System Software Tool (UPLOADS-ST) - and six out of 11 users of a modified system (UPLOADS-Lite). The survey collected information on user experiences in relation to system training, accessibility, ease of use, security, feedback and perceived value to the sector of collating and reporting data across organisations. FINDINGS: Only four UPLOADS-ST responding users found the system easy to use and just three considered entering incident reports to be easy. However, many considered the training on reporting incidents to be sufficient and that the incident reports contained relevant details. Fewer than half of respondents (seven for UPLOADS-ST, three for UPLOADS-Lite) believed entering data was a good use of staff time and resources. Nonetheless, a majority of respondents (seven for UPLOADS-ST, five for UPLOADS-Lite) found the reporting format easy to read and felt the information provided was useful for their organisation. CONCLUSIONS: Usability barriers to incident reporting were identified, particularly for UPLOADS-ST, including time constraints and user friendliness. The majority of users believed aggregating and reporting incident and injury data across organisations would be of value in making the led outdoor activity sector safer. Improving the utility of the surveillance systems will assist in ensuring their sustainability in the led outdoor activity sector.
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ItemComparison of subsequent injury categorisation (SIC) models and their application in a sporting population(BMC, 2019)BACKGROUND: The original subsequent injury categorisation (SIC-1.0) model aimed to classify relationships between chronological injury sequences to provide insight into the complexity and causation of subsequent injury occurrence. An updated model has recently been published. Comparison of the data coded according to the original and revised subsequent injury categorisation (SIC-1.0 and SIC-2.0) models has yet been formally compared. METHODS: Medical attention injury data was prospectively collected for 42 elite water polo players over an 8 month surveillance period. The SIC-1.0 and SIC-2.0 models were retrospectively applied to the injury data. The injury categorisation from the two models was compared using descriptive statistics. RESULTS: Seventy-four injuries were sustained by the 42 players (median = 2, range = 0-5), of which 32 injuries (43.2%) occurred subsequent to a previous injury. The majority of subsequent injuries were coded as occurring at a different site and being of a different nature, while also being considered clinically unrelated to the previous injury (SIC-1.0 category 10 = 57.9%; SIC-2.0 clinical category 16 = 54.4%). Application of the SIC-2.0 model resulted in a greater distribution of category allocation compared to the SIC-1.0 model that reflects a greater precision in the SIC-2.0 model. CONCLUSIONS: Subsequent injury categorisation of sport injury data can be undertaken using either the original (SIC-1.0) or the revised (SIC-2.0) model to obtain similar results. However, the SIC-2.0 model offers the ability to identify a larger number of mutually exclusive categories, while not relying on clinical adjudication for category allocation. The increased precision of SIC-2.0 is advantageous for clinical application and consideration of injury relationships.
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ItemTime-to-event analysis for sports injury research part 2: time-varying outcomes(BMJ PUBLISHING GROUP, 2019-01)BACKGROUND: Time-to-event modelling is underutilised in sports injury research. Still, sports injury researchers have been encouraged to consider time-to-event analyses as a powerful alternative to other statistical methods. Therefore, it is important to shed light on statistical approaches suitable for analysing training load related key-questions within the sports injury domain. CONTENT: In the present article, we illuminate: (i) the possibilities of including time-varying outcomes in time-to-event analyses, (ii) how to deal with a situation where different types of sports injuries are included in the analyses (ie, competing risks), and (iii) how to deal with the situation where multiple subsequent injuries occur in the same athlete. CONCLUSION: Time-to-event analyses can handle time-varying outcomes, competing risk and multiple subsequent injuries. Although powerful, time-to-event has important requirements: researchers are encouraged to carefully consider prior to any data collection that five injuries per exposure state or transition is needed to avoid conducting statistical analyses on time-to-event data leading to biased results. This requirement becomes particularly difficult to accommodate when a stratified analysis is required as the number of variables increases exponentially for each additional strata included. In future sports injury research, we need stratified analyses if the target of our research is to respond to the question: 'how much change in training load is too much before injury is sustained, among athletes with different characteristics?' Responding to this question using multiple time-varying exposures (and outcomes) requires millions of injuries. This should not be a barrier for future research, but collaborations across borders to collecting the amount of data needed seems to be an important step forward.