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Public Health: Snowmobile injuries

2003· article· en· W3590634 sur OpenAlexvenueaboutno aff
John Hoey

Notice bibliographique

RevueCanadian Medical Association Journal · 2003
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAgriculture and Farm Safety
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineEpidemiologyPublic healthInjury preventionOccupational safety and healthMedical examinerMedical emergencyPoison controlEnvironmental healthDemographyPathology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background and epidemiology: Again this winter, people are killing and injuring themselves while riding snowmobiles. The Canadian Institute for Health Information noted that, in the winter of 2000/2001, there were 137 admissions to hospital because of severe injuries from snowmobiling and 9 related deaths in trauma centres.1 These reports probably underestimate actual events because they are based only on hospital data. Several US states have laws requiring snowmobile operators to report all incidents involving snowmobiles that result in injury requiring medical attention or property damage. In Maine, from 1991 to 1996, there were 1355 snowmobile-related incidents that resulted in 903 injuries among 2105 operators and passengers.2 On average, there were 5.4 deaths per winter season during this period. There is no information on risk factors because case–control studies have yet to be done. However, in the Maine report,2 snowmobile-related incidents resulting in injury, death or property damage were more frequent during darker hours (4 pm to 6 am) than at other times. Not surprisingly, most of the operators and injured people were men (95% of those who died). Of the 1255 incidents in which the role of alcohol was evaluated, alcohol was a contributing factor in 13% of the incidents and 41% of the deaths. The primary causes were known for 1311 of the incidents and included excessive speed (52% of cases), inattention or careless operation (27%), operating on a public way (2%), operating on a steep hill or snow bank (2%) and crossing unsafe ice (1%). Of the 39 deaths, 82% resulted from trauma and 18% from drowning. In some provinces in Canada young children are legally permitted to operate snowmobiles, and legal restrictions on the use of snowmobiles on private property often do not apply. In an analysis of 291 snowmobile-related injuries and deaths involving children in the United States between 1990 and 1998, most (26%) involved ejection from the snowmobile;3 a large proportion of the events (43%) occurred on private property. Clinical management: In the cases reported from Maine, the most common injuries were fractures (32%), lacerations and contusions (17%), and concussions (4%). Clinicians should be alert to the possibility of concomitant alcohol consumption and hypothermia among snowmobile trauma victims. Prevention: Provincial laws governing snowmobile use include regulations for the minimum age of operators, registration of snowmobiles, wearing of helmets, speed limits and use of public roadways. However, because most snowmobile-related injuries and deaths occur off public roadways and because police have insufficient resources to patrol snowmobile trails, snowmobile clubs have attempted to fill the gaps through education programs, such as the Alberta Snowmobile Association's Sled Smart program offered in rural schools (www.altasnowmobile.ab.ca/safety/safety.html). In Ontario the provincial police, in collaboration with the Ontario Federation of Snowmobile Clubs and municipal police services, have delegated some enforcement power to qualified club members through its STOP (Snowmobile Trail Officer Patrol) program (www.stopofficer.com). Such law enforcement may be effective in reducing snowmobile-related injuries and deaths.4 There appear to be no published studies of efforts to reduce injuries by means used with other motor vehicles, such as design changes, limiting engine horsepower and velocity potential, education programs, improving trails or placing warning signs on dangerous sections of trails, or raising the age requirement for operation of a vehicle. John Hoey CMAJ

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,075
Score d'incertitude au seuil0,150

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0230,002

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 Opus0,020
Tête enseignante GPT0,216
Écart entre enseignants0,196 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2003
Routes d'admission2
Résumé présentoui

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