Occurrence of and referral to specialists for pain-related diagnoses in First Nations and non–First Nations children and youth
Notice bibliographique
Résumé
BACKGROUND: Indigenous youth have higher rates of chronic health conditions interfering with healthy development, including high rates of ear, dental, chest and musculoskeletal pain, as well as headache, arthritis and mental health issues. This study explores differences in pain-related diagnoses in First Nations and non–First Nations children. METHODS: Data from a study population of age- and sex-matched First Nations and non–First Nations children and youth were accessed from a specific region of Atlantic Canada. The primary objective of the study was to compare diagnosis rates of painful conditions and specialist visits between cohorts. The secondary objective was to determine whether there were correlations between early physical pain exposure and pain in adolescence (physical and mental health). RESULTS: Although ear- and throat-related diagnoses were more likely in the First Nations group than in the non–First Nations group (ear 67.3% v. 56.8%, p < 0.001; throat 89.3% v. 78.8%, p < 0.001, respectively), children in the First Nations group were less likely to see a relevant specialist (ear 11.8% v. 15.5%, p < 0.001; throat 12.7% v. 16.1%, p < 0.001, respectively). First Nations newborns were more likely to experience an admission to the neonatal intensive care unit (NICU) than non–First Nations newborns (24.4% v. 18.4%, p < 0.001, respectively). Non–First Nations newborns experiencing an NICU admission were more likely to receive a mental health diagnosis in adolescence, but the same was not found with the First Nations group (3.4% v. 5.7%, p < 0.03, respectively). First Nations children with a diagnosis of an ear or urinary tract infection in early childhood were almost twice as likely to have a diagnosis of headache or abdominal pain as adolescents (odds ratio [OR] 1.9, 95% confidence interval [CI] 1.1–3.0, and OR 1.7, 95% CI 1.2–2.3, respectively). INTERPRETATION: First Nations children were diagnosed with more pain than non–First Nations children, but did not access specific specialists or mental health services, and were not diagnosed with mental health conditions, at the same rate as their non–First Nations counterparts. Discrepancies in pain-related diagnoses and treatment are evident in these specific comparative cohorts. Community-based health care access and treatment inquiries are required to determine ways to improve care delivery for common childhood conditions that affect health and development.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».