Causes and Characteristics of Children Unintentional Injuries in Emergency Department and Its Implications for Prevention
Notice bibliographique
Résumé
Background: Child unintentional injuries have become a hot topic worldwide, and substantial regional disparities existed in causes and characteristics. To date, limited data are available to investigate the causes and characteristics of child unintentional injuries from hospitals for children in China. Methods: A cross-sectional study was conducted between January 2017 and December 2018 in Shanghai, China. Patients aged <18 years with an unintentional injury presented to the emergency department were enrolled. Demographic information, Pediatric Risk for Mortality III score, and outcome variables were retrieved from electronic health records (EHRs). Frequencies and proportions of categorical variables and means and SDs of continuous variables are presented. Chi-square test and Student's t -test were used for the comparison between groups, as appropriate. Logistic regression analysis was used to estimate potential risk factors for admission to the hospital. Results: A total of 29,597 cases with unintentional injuries were identified between January 2017 and December 2018, with boys vs. girls ratio of 1.75. Preschool children account for approximately two-thirds of unintentional injuries in the emergency department. A distinctive pattern of mechanisms of unintentional injuries between gender was documented, and sports injury was significantly higher in boys than in girls (10.2 vs. 7.8%). Compared with Canadian Emergency Department Triage and Acuity Scale (CTAS) Grade 3 patients, Grade 2 [odds ratio (OR) = 2.99, 95% CI = 1.93–4.63, P < 0.001] and Grade 1 (OR = 74.85, 95% CI = 12.93–433.14, P < 0.001) patients had higher risk of inhospital admission. For causes of injuries, compared with falling, foreign body and poison had a lower risk of inhospital admission, while transport injury (OR = 1.31, 95% CI = 1.07–1.59, P = 0.008) and high fall injury (OR = 2.58. 95% CI =1.48–4.49, P < 0.001) had a significantly higher risk of admission. Conclusions: There was a significant relationship between age-groups and unintentional injuries between gender, with decreased injuries among girls growing up older. Preventive measures should be taken to reduce transport injury and high fall injury, which had a significantly higher risk of admission.
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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 | 0,001 | 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 ».