A PROSPECTIVE ANALYSIS OF THE RATES AND PATTERNS OF AUTISM SPECTRUM DISORDER DIAGNOSIS IN AN ATLANTIC CANADIAN CITY
Notice bibliographique
Résumé
BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and interaction, with repetitive patterns of behaviors, interests or activities. As prevalence rates of ASD in Canada continue to rise, general pediatricians care for many children with ASD and serve as consultants for diagnosis. The importance of early detection and diagnosis of ASD has been well established in the literature, with early intervention and support leading to improved outcomes for children. Thereby, it is important that consultants are confident in their ability to screen and diagnose ASD. However, little is known about the clinical comfort level and frequency with which consultant pediatricians diagnose ASD. OBJECTIVES: The primary objectives of this study are to determine the frequencies with which consultant pediatricians, pediatric subspecialists and developmental teams are diagnosing ASD and the associated wait times. Potential barriers to diagnosis and clinical comfort with diagnosis will be explored. DESIGN/METHODS: All referrals received by consultant pediatricians in an Atlantic Canadian city, for children less than five years of age with a reason for referral meeting the study inclusion criteria were prospectively tracked recording: patient demographic information, reason for consultation, referral, consult and diagnosis dates, and diagnosing specialty. Consultants were also asked their interest in receiving more training on ASD and diagnosis. At the end of the one-year study period forms were collected for children diagnosed with ASD and children waiting for further consultation. RESULTS: Data was obtained for 90 children during the study period, with 52 children receiving a diagnosis of ASD and 38 waiting for further consultation. Preliminary data suggests that of the children diagnosed greater than 50% were diagnosed at initial pediatric consult, followed by developmental team and consulted pediatric neurologist diagnoses, with additional consults being associated with longer wait times to diagnosis. Further statistical analyses to comment on statistically significant differences between groups is pending. CONCLUSION: The results of this study will provide insight into the various pediatric subspecialties diagnosing ASD, the frequencies of these diagnoses and the wait times associated. It will also provide the opportunity to evaluate clinical comfort of initial consultant pediatricians and potential gaps in knowledge to improve outcomes and access to care for children receiving this diagnosis.
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 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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,006 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 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 ».