MétaCan
Menu
Retour à la cohorte
Enregistrement W4292877680 · doi:10.1177/13623613221117444

Short-term low-intensity Early Start Denver Model program implemented in regional hospitals in Northern Taiwan

2022· article· en· W4292877680 sur OpenAlex
Chung‐Hsin Chiang, Tzu-Ling Lin, Hsiang‐Yuan Lin, Suk Yin Ho, Ching‐Ching Wong, Hsin-Chi Wu

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueAutism · 2022
Typearticle
Langueen
DomaineNeuroscience
ThématiqueAutism Spectrum Disorder Research
Établissements canadiensUniversity of Toronto
Organismes subventionnairesMinistry of Science and Technology, Taiwan
Mots-clésAutismContext (archaeology)Intervention (counseling)PsychologyChild developmentDevelopmental psychologyPsychiatry

Résumé

récupéré en direct d'OpenAlex

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.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,042
Tête enseignante GPT0,315
Écart entre enseignants0,272 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle