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Enregistrement W2168138307 · doi:10.1093/ije/dyh379

Commentary: Mad New Zealanders, tape, and grease: assessing protective equipment for rugby union players

2004· letter· en· W2168138307 sur OpenAlexaff
Barry Pless

Notice bibliographique

RevueInternational Journal of Epidemiology · 2004
Typeletter
Langueen
DomaineMedicine
ThématiqueInjury Epidemiology and Prevention
Établissements canadiensMontreal Children's Hospital
Organismes subventionnairesnon disponible
Mots-clésGreaseMedicinePhysical therapyBiology

Résumé

récupéré en direct d'OpenAlex

In the eyes of some, especially North Americans, what little they know of rugby union football, borders on playing field madness. Unlike armour-clad American football behemoths, rugby union players smash into one another with little or no protection against injury. Unfortunately, whatever protective equipment (PE) these players do use is not properly evaluated, and this is equally true for most sports. The paper by Marshall et al. in this issue1 is the work of a highly qualified, international team. The findings provide modest support for some protective measures and relegate others to the status of talisman. They also reveal, consistent with my image of these madmen (and women?), that mouthguards are the only item used for more than half of the player-weeks (58%). But perhaps these rugby unionists are better scientists than we are, reasoning that without better evidence of effectiveness, why bother? For some, the struggle to prevent injuries has become a public health crusade. For others, including a few hard-core epidemiologists and card-carrying public health officers, injury prevention remains a marginal issue, surrounded by indifference. The disinterest of epidemiologist researchers is inexplicable; that of those in public health workers may arise from the belief that there are few interventions that warrant widespread application. This is a misconception, however, because numerous injury prevention strategies e.g. promoting bicycle helmet use, are known to be effective.2 Furthermore, many studies specifically address rugby union injuries. These range from considerations of helmet design3 and its effectiveness,4 use of mouthguard,5 to a global preventive program.6 Although for those committed to providing greater protection from injury of any kind there will always be a need for more evaluation studies, there are already many paths to follow. The most popular countermeasure involves education of some sort; either public education or physician counselling.7 Neither approach has worked terribly well, and although education remains popular among some physician groups and among policy makers looking for cheap solutions to complex problems, it still is a chimera. The second group of intervention strategies involves environmental measures such as road design, playground surfacing, and even some aspects of home construction.8 The third main thrust involves engineering or technology,9 and it is here that PE is found alongside more familiar examples, such as air bags or smoke detectors. By and large, evidence for the efficacy of such measures is convincing; their effectiveness at the population level is another matter. Thus, what is needed are more well-conceived, well-executed evaluation studies involving the largest possible groups in real-life settings. The Marshall paper offers an excellent example of how this goal can be reached even with a less-than-optimal design. Ideally, evaluation studies should be randomized controlled trials (RCT), but there are many explanations why this powerful design, so important if the results are intended to influence policy or practice, may not be feasible. In this instance the investigators probably chose not to attempt a RCT for several reasons. They may have assumed their ethics review board (ERB) would rebel, believing it unacceptable to deprive controls of the self-evident benefits of protective equipment. Or, they may have reasoned that even if the ERB were enlightened, few players would agree to forego all their favorite talismans … grease, tape, or whatever. In particular, it is hard to imagine denying ‘controls’ some of the better-studied measures e.g. mouthguards and padded-headgear. The design question is also complicated by the need to investigate several different sorts of equipment, each of which could result in a different outcome. In light of these realities, Marshall et al. chose to conduct a cohort study of 304 players over one season. Regrettably, they were forced to nuance their conclusions because the sample lacked power. Thus, although many point estimates suggest protective effects, the confidence intervals are wide and all include unity. The problem of insufficient power plagues many—perhaps most—evaluation studies. The only solution may be the equally challenging multi-centre endeavour. In spite of the frustration of the somewhat inconclusive results, there are many lessons to be learned from this study. For example, the appeal for funding was enhanced by two wise choices. The first was to apply to a body that has a strong reason to support this sort of work, the Accident Compensation Corporation of New Zealand (ACC). The Corporation provides compensation to all injury victims regardless of fault and so avoids costly litigation. Nonetheless, it saves more money when injuries are reduced, and this undoubtedly accounts for ACC's interest in this project. The second choice was to package this study—the effectiveness of PE—alongside several other components. Thus what might appear to have been an expensive study (400 000 NZ dollars in 1998) is much less so when all the elements are considered. Finally, the study team included not only researchers with solid reputations, it also included a guru of sports injury prevention with strong ties to rugby union, and at least one of the authors was a former player who appears not to have been concussed too often. As one of the original reviewers, I had few minor concerns about the science. I facetiously suggested that it was unfortunate that the paper had not been sent to the ‘right’ journal—the one I edit! I did so because I regard this study as a major contribution to injury prevention and believe the methods used and some of the conclusions may well extend to many other sports involving protective equipment. Sadly, sports and recreational injuries are of increasing importance. As Conn, Annest, and Gilchrist concluded, ‘As physical activity continues to be promoted as part of a healthy lifestyle, sports-related injuries are becoming an important public health concern for both children and adults. Prevention efforts aimed at reducing (these) injuries through targeting high risk activities, places of occurrence, activity, risk behaviors, and use of protective devices need to … consider physically active adults.’10

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,088
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,074
Score d'incertitude au seuil0,103

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,088
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0070,006
Communication savante0,0040,006
Science ouverte0,0090,002
Intégrité de la recherche0,0740,060
Charge utile insuffisante (le modèle a refusé de juger)0,0110,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,065
Tête enseignante GPT0,402
Écart entre enseignants0,336 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2004
Routes d'admission1
Résumé présentoui

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