125: Factors Influencing ASD Screening by Community Paediatricians
Notice bibliographique
Résumé
The prevalence of autism spectrum disorders (ASD) is estimated at 62 per 10 000 children based on systematic review of epidemiological surveys worldwide. In many cases, ASDs can be accurately diagnosed in children two to three years old and high risk children can be identified earlier than 24 months, but Canadian data shows a median age at diagnosis of 39 to 55 months. Despite advances in diagnosis of ASD, data on general paediatric practice regarding ASD screening in Canada is lacking. The objectives of this study were to examine general paediatricians' current practices regarding ASD screening and identify the factors that influence paediatricians' decisions for including ASD screening tools in their clinical practice. The aim was to obtain broad opinions and perspectives to support future research. Twelve paediatricians from four practice groups participated in four focus groups and one interview. Each focus group took 40 min to 60 min and was conducted using a semi-structured interview with targeted open ended questions, digitally recorded, and transcribed verbatim. A qualitative interpretive description approach was chosen since the aim was to present the participants' point of view by staying close to the data. All meaningful texts from the transcripts were coded, categorized and reviewed with the co-investigators and final themes were obtained with care taken to describe the participants' experiences in their own language. Five main categories were identified: 1) benefits, 2) limitations, 3) elements that limit utility, 4) elements that foster utility, and 5) process of application in ASD screening. Participants identified factors that influence their current practice such as availability of time, comfort and experience, and knowledge of specific tools. They also identified important barriers and facilitators to ASD screening including screening tool characteristics that influence their decisions to use a formal tool. Furthermore, the participants commented on the current infrastructure for ASD screening and possible changes, such as the participation of allied health professionals and implementation of guidelines that could affect accessibility for both diagnosis and ASD resources. This study identified factors that play into a paediatrician's role in formal ASD screening as well as obstacles and facilitators to implementing an ASD screening program. While the feasibility and effectiveness of a nationwide autism screening program remains controversial, this study provides grounds for future research questions with implications on policy and practice.
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 | 0,006 | 0,046 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».