A population-based comparison of injuries among farm children to non-farm children in Alberta, 1999-2010
Notice bibliographique
Résumé
Objectives - To systematically review literature on rural-urban differences in pediatric injury incidence and to examine incidence of all-cause injury, agricultural injury, and injury-related health care utilization for farm children compared to several groups of non-farm children under 18 years of age in Alberta, Canada. Methods – A systematic review examined population-based observational studies published from 1970 to August 2013, that compared rates or health care outcomes of injury between rural and urban children (<18) living in Canada or the United States. Three of population-based retrospective cohort studies followed farm, rural, First Nations (FN), urban children from 1999 to 2010 to examine incidence of injury and related health services using the linkage of four administrative health databases (data from physician visits to deaths). Person-time incidence rates and adjusted hazard ratios were calculated based on injury episode. Results – Systematic review demonstrated that rural children sustained a higher rate of overall injury, particularly from MVC and suicide than urban children. Primary studies showed farm and rural children, especially rural FN children, had higher rates and greater utilizations of overall injury, especially for severe injuries, than urban children. This trend was consistent for most injury mechanisms but more notably for other land transport (e.g., ATVs, animal riding, agricultural vehicle-related injuries), natural/environmental (e.g., bees, insects, animals-related), and unintentional firearm-related injuries. Farm and rural non-FN children were at a greater risk of agricultural injuries, more outstandingly for farm-animal and machinery-related injuries, than rural FN and urban children. Agricultural injuries appeared to be more unintentional and lethal. Rural FN children, followed by rural non-FN and farm children, experienced greater utilization of higher levels of medical facilities, thinner shapes of injury pyramid, and greater proportions of pre-hospital deaths. Conclusions – Greater burden of injury for farm and rural children and specific patterns per group indicate a need for targeted and specialized injury prevention strategies for higher-risk mechanisms in each group, attention for agricultural injury controls to extended populations, comprehensive intervention strategies for underlying inter-related causes of injury in rural areas, and an advanced pediatric trauma care for serious injuries the ED for efficient and timely care in rural areas.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».