Sibling-Mediated Early Start Denver Model Support for Young Autistic Children

Abstract Young autistic children and their siblings often need support to play and engage with each other. The inclusion of older siblings in the provision of support may improve outcomes for autistic children and strengthen the sibling relationship. This study evaluated the inclusion of older siblings in the delivery of Early Start Denver Model (ESDM) support to autistic children aged between 3 and 4 years. It used a non-concurrent multiple baseline across participants design to evaluate the effects of sibling-mediated ESDM for four young autistic children and their older, non-autistic siblings. For most dyads, there were improvements in autistic child engagement and in sibling initiations during the sibling-mediated ESDM, which were generally maintained at follow-up. There was some improvement in sibling responses and minimal improvement in autistic child imitation and functional utterances. Sibling initiations and responses were generally positively correlated with autistic child engagement, functional utterances, and imitation. The parents of children in all four dyads found the sibling-mediated ESDM to be acceptable. These preliminary results suggest that sibling-mediated ESDM may be beneficial for improving the interaction between autistic children and their non-autistic siblings while benefits for teaching additional child skills might be more limited.

Authors

Institutions

Publication Details

Journal
Journal of Child and Family Studies
Published
2024-09-18
DOI
https://doi.org/10.1007/s10826-024-02914-y
Citations
2
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sibling-Mediated Early Start Denver Model Support for Young Autistic Children

Giacomo Vivanti, Edith R. Wilson, Amarie Carnett, Lauren van Noorden et al.
2 citations
Journal of Child and Family Studies
Autism Spectrum Disorder Research
0.69
article

Sibling-Mediated Early Start Denver Model Support for Young Autistic Children

Giacomo Vivanti, Edith R. Wilson, Amarie Carnett, Lauren van Noorden, Anne C. Macaskill, H. Waddington
article en
2 citations

Abstract

Abstract Young autistic children and their siblings often need support to play and engage with each other. The inclusion of older siblings in the provision of support may improve outcomes for autistic children and strengthen the sibling relationship. This study evaluated the inclusion of older siblings in the delivery of Early Start Denver Model (ESDM) support to autistic children aged between 3 and 4 years. It used a non-concurrent multiple baseline across participants design to evaluate the effects of sibling-mediated ESDM for four young autistic children and their older, non-autistic siblings. For most dyads, there were improvements in autistic child engagement and in sibling initiations during the sibling-mediated ESDM, which were generally maintained at follow-up. There was some improvement in sibling responses and minimal improvement in autistic child imitation and functional utterances. Sibling initiations and responses were generally positively correlated with autistic child engagement, functional utterances, and imitation. The parents of children in all four dyads found the sibling-mediated ESDM to be acceptable. These preliminary results suggest that sibling-mediated ESDM may be beneficial for improving the interaction between autistic children and their non-autistic siblings while benefits for teaching additional child skills might be more limited.

Journal of Child and Family StudiesVol. 33(10)
Victoria University of Wellington (NZ), Drexel University (US)
Victoria University of Wellington, Victoria University, Faculty of Education, Victoria University of Wellington
Quality Education
Openalex Percentile: Top 31%
Autism Spectrum Disorder Research
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.