Examining Child Health and Health Care Support in a Group of Off-Reserve Canadian Indigenous Children Diagnosed with Epilepsy
Notice bibliographique
Résumé
In comparison to children with epilepsy in the general population, little is known about the profile and outcomes of Indigenous children with epilepsy. The 2006 Aboriginal Childrens Survey (ACS) was used to examine risk and resiliency factors in a sample of Indigenous children between one and five years of age. Logistic regressions were completed on a subset of the ACS population (epilepsy group N = 600; Control group N = 5890), where children were matched according to age, sex, and health status. \nIndigenous children in Canada had higher rates of epilepsy compared to the overall rate of epilepsy for children in Canada. Children with epilepsy compared to those without epilepsy had significantly higher rates of vision and hearing issues, allergies, asthma/bronchitis, and speech-language difficulties. Children with epilepsy were less likely to see a specialist than those without epilepsy. Children who received breast milk were significantly less likely to have epilepsy than those children who did not receive breast milk. If a child had a medical, neurodevelopmental or mental disorder, they were more likely to have epilepsy. Caregivers who rated themselves as healthy were less likely to have a child with epilepsy; even when comparing children with poor health status those caregivers who were healthy had less chance of having a child with epilepsy. In addition to caregiver health, those caregivers who were removed from the home as children were also more likely to have children with epilepsy regardless of the childs health status. \nCanada will continue to face challenges in providing care to Indigenous children, unless it addresses some important gaps in how health care is provided to this vulnerable population.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| 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 | 0,001 |
| 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 ».