Short-term low-intensity Early Start Denver Model program implemented in regional hospitals in Northern Taiwan
Notice bibliographique
Résumé
The Early Start Denver Model is an evidence-based, comprehensive naturalistic developmental behavioral intervention for young and very young children with autism spectrum disorder. This interdisciplinary model is suitable for the Taiwanese public health system. In this study, we evaluated the effectiveness of an Early Start Denver Model program with adaptation, including a lower intensity, shorter duration, and delivery in general hospitals by multidisciplinary professionals. A quasi-experimental study with pre-, post-intervention, and 6-month follow-up was conducted. Forty-five young children with autism spectrum disorder, aged 2–4 years, were grouped into the Early Start Denver Model and control (the usual community treatment) groups. The Early Start Denver Model group received 6 months of one-on-one intervention for approximately 8–9 h per week. Compared with the control group, the Early Start Denver Model group showed greater improvements in overall development quotient and nonverbal development quotient from pre- to post-intervention, but these differences (a Group-by-Time interaction) did not sustain at the 6-month follow-up. Being mindful of some potential threats to internal validity associated with clinical trial designs and implementation, this study provides preliminary evidence to support the effectiveness of the Early Start Denver Model intervention in regional general hospital settings in the context of Han-Chinese-mainly culture. Lay Abstract The Early Start Denver Model is an evidence-based early intervention program for young and very young children with autism. This interdisciplinary model is used by many types of professionals, such as psychologists, occupational therapists, speech pathologists, early child special educators, and paraprofessionals, as well as by parents. Most previous studies on the Early Start Denver Model were conducted in the West, and there are scarce studies on the topics of generalization in culture and countries outside the Western world. In this study, we evaluated the effect of the Early Start Denver Model with some adaptations, including a lower intensity, shorter duration, and delivery in regional general hospitals in Northern Taiwan. In total, 45 young children with autism, aged 2–4 years, were divided into the Early Start Denver Model and community-based control groups. The children in the Early Start Denver Model group received one-on-one intervention for approximately 8–9 h per week for 6 months. The results revealed that compared with the control group, the Early Start Denver Model group showed greater gains in overall development ability and nonverbal development ability from pre- to post-intervention. However, these differences did not sustain at the 6-month follow-up after the completion of the intervention. Being mindful of some caveats in trial designs, this study provides preliminary evidence to support the effectiveness of the Early Start Denver Model intervention in the regional general hospital settings in the context of Han-Chinese-mainly culture. Our findings can provide helpful information to stakeholders and policymakers of early intervention service systems for children with autism in Taiwan, as well as in Asian countries.
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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 | 0,001 | 0,001 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».