Evidence map›Paper›PMID 30217833›Full record

ArticleBritish journal of sports medicine2019

Controlled ecological evaluation of an implemented exercise-training programme to prevent lower limb injuries in sport: population-level trends in hospital-treated injuries.

Caroline F Finch, Shannon E Gray, Muhammad Akram, Alex Donaldson, David G Lloyd, Jill L Cook

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Article in British journal of sports medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Caroline F FinchSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.ORCID http://orcid.org/-0003-1711-1930"target="_blank"0000-0003-1711-1930
Shannon E GrayVictorian Injury Surveillance Unit, Monash Injury Research Institute, Monash University, Melbourne, Victoria, Australia.
Muhammad AkramAustralian Centre for Research into Injury in Sport and its Prevention, Federation University Australia, Ballarat, Victoria, Australia.
Alex DonaldsonAustralian Centre for Research into Injury in Sport and its Prevention, Federation University Australia, Ballarat, Victoria, Australia.
David G LloydGold Coast Orthopaedic Research and Education alliance (GCORE), Menzies Health Institute Queensland, Gold Coast, Queensland, Australia.
Jill L CookAustralian Centre for Research into Injury in Sport and its Prevention, Federation University Australia, Ballarat, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExercise-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.

methodA 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.

resultsAfter 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.

conclusionEcological 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.

Indexed as

Program EvaluationAdolescentAdultAthletic InjuriesHumansLeg InjuriesMaleMiddle AgedPhysical Conditioning, HumanSoccerVictoriaYoung Adultexercise trainingimplementationinjury prevention

Identifiers

PMID30217833
PMCPMC6579505

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.