Literature DB >> 28543302

A randomised controlled trial of an iPad-based application to complement early behavioural intervention in Autism Spectrum Disorder.

Andrew J O Whitehouse1, Joanna Granich1, Gail Alvares1, Margherita Busacca2, Matthew N Cooper1, Alena Dass1, Thi Duong3, Rajes Harper2, Wendy Marshall4, Amanda Richdale5, Tania Rodwell4, David Trembath6, Pratibha Vellanki3, Dennis W Moore2, Angelika Anderson2.   

Abstract

BACKGROUND: Technology-based interventions for Autism Spectrum Disorder (ASD) have proliferated, but few have been evaluated within the context of a randomised controlled trial (RCT). This RCT evaluated the efficacy of one technology-based early intervention programme (Therapy Outcomes By You; TOBY) in young children with ASD.
METHODS: TOBY is an app-based learning curriculum designed for children and parents as a complement to early behavioural intervention. Eighty children (16 female) were recruited to this RCT within 12 months of receiving a diagnosis of ASD (M age = 3.38; SD = 0.69) and randomised to receive either treatment-as-usual (community-based intervention, n = 39) or the TOBY therapy (at least 20 min/day) plus treatment-as-usual (n = 41) for a period of 6 months. Outcomes were assessed at 3 and 6 months postbaseline. (Australian New Zealand Clinical Trials Registry: ACTRN12614000738628; www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=365463).
RESULTS: Children in the TOBY intervention group averaged 19 min/day engaging with the app in the first 3 months, but only 2 min/day during the second 3 months. There was no group difference in scores on the primary outcome, the Autism Treatment Evaluation Checklist, at either the 3- or 6-month follow-up. However, significant improvements at the 6-month follow-up were observed in the TOBY intervention group relative to the treatment-as-usual group on three secondary outcomes: the Fine Motor and Visual Reception subscales of the Mullen Scale of Early Learning and the Total Words Understood scale of the MacArthur-Bates Communicative Development Index. Statistical trends towards improvement in the TOBY intervention group were observed on measures of adaptive function, although these decreased in magnitude from the 3- to 6-month follow-up.
CONCLUSIONS: This study provides evidence that technology-based interventions may provide a relatively low-cost addition to existing therapist-delivered interventions for children with ASD. However, sustained use of the app over the full 6-month period was a challenge for most families.
© 2017 Association for Child and Adolescent Mental Health.

Entities:  

Keywords:  Autism Spectrum Disorder; computer-assisted learning; early intervention; randomised controlled trial

Mesh:

Year:  2017        PMID: 28543302     DOI: 10.1111/jcpp.12752

Source DB:  PubMed          Journal:  J Child Psychol Psychiatry        ISSN: 0021-9630            Impact factor:   8.982


  10 in total

1.  Intervention Effects on Language in Children With Autism: A Project AIM Meta-Analysis.

Authors:  Micheal Sandbank; Kristen Bottema-Beutel; Shannon Crowley; Margaret Cassidy; Jacob I Feldman; Marcos Canihuante; Tiffany Woynaroski
Journal:  J Speech Lang Hear Res       Date:  2020-05-08       Impact factor: 2.297

2.  A Randomised Controlled Trial of an Information Communication Technology Delivered Intervention for Children with Autism Spectrum Disorder Living in Regional Australia.

Authors:  Dave Parsons; Reinie Cordier; Hoe Lee; Torbjorn Falkmer; Sharmila Vaz
Journal:  J Autism Dev Disord       Date:  2019-02

3.  Project AIM: Autism intervention meta-analysis for studies of young children.

Authors:  Micheal Sandbank; Kristen Bottema-Beutel; Shannon Crowley; Margaret Cassidy; Kacie Dunham; Jacob I Feldman; Jenna Crank; Susanne A Albarran; Sweeya Raj; Prachy Mahbub; Tiffany G Woynaroski
Journal:  Psychol Bull       Date:  2019-11-25       Impact factor: 17.737

4.  Autism Treatment Evaluation Checklist (ATEC) Norms: A "Growth Chart" for ATEC Score Changes as a Function of Age.

Authors:  Shreyas Mahapatra; David Vyshedsky; Samantha Martinez; Benjamin Kannel; Julia Braverman; Stephen M Edelson; Andrey Vyshedskiy
Journal:  Children (Basel)       Date:  2018-02-16

5.  Using generalizability theory to evaluate the comparative reliability of developmental measures in neurogenetic syndrome and low-risk populations.

Authors:  Lisa R Hamrick; Alison M Haney; Bridgette L Kelleher; Sean P Lane
Journal:  J Neurodev Disord       Date:  2020-06-05       Impact factor: 4.025

6.  The Effectiveness of Web-Based Interventions Delivered to Children and Young People With Neurodevelopmental Disorders: Systematic Review and Meta-Analysis.

Authors:  Kareem Khan; Charlotte L Hall; E Bethan Davies; Chris Hollis; Cris Glazebrook
Journal:  J Med Internet Res       Date:  2019-11-01       Impact factor: 5.428

Review 7.  The Impact of Mobile Technology-Delivered Interventions on Youth Well-being: Systematic Review and 3-Level Meta-analysis.

Authors:  Kate Bartolotta; Sarah E Broner; Colleen S Conley; Elizabeth B Raposa; Maya Hareli; Nicola Forbes; Kirsten M Christensen; Mark Assink
Journal:  JMIR Ment Health       Date:  2022-07-29

8.  Adverse event reporting in intervention research for young autistic children.

Authors:  Kristen Bottema-Beutel; Shannon Crowley; Micheal Sandbank; Tiffany G Woynaroski
Journal:  Autism       Date:  2020-10-19

9.  Meta-Analysis of RCTs of Technology-Assisted Parent-Mediated Interventions for Children with ASD.

Authors:  Hong Ji Pi; Kannan Kallapiran; Shashidhara Munivenkatappa; Preeti Kandasamy; Richard Kirubakaran; Paul Russell; Valsamma Eapen
Journal:  J Autism Dev Disord       Date:  2021-07-27

10.  Protocol for the Process Evaluation of the Online Remote Behavioural Intervention for Tics (ORBIT) randomized controlled trial for children and young people.

Authors:  K Khan; C Hollis; C L Hall; E B Davies; D Mataix-Cols; P Andrén; T Murphy; B J Brown; E Murray; C Glazebrook
Journal:  Trials       Date:  2020-01-02       Impact factor: 2.279

  10 in total

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