Determining Associations Between Intervention Amount and Outcomes for Young Autistic Children

Author:

Sandbank Micheal1,Pustejovsky James E.2,Bottema-Beutel Kristen3,Caldwell Nicolette4,Feldman Jacob I.5,Crowley LaPoint Shannon6,Woynaroski Tiffany78

Affiliation:

1. Department of Health Sciences, The University of North Carolina at Chapel Hill, Chapel Hill

2. Department of Educational Psychology, University of Wisconsin-Madison, Madison

3. Lynch School of Education and Human Development, Boston College, Boston, Massachusetts

4. Department of Curriculum and Instruction, University of Arkansas, Fayetteville

5. Department of Hearing and Speech Sciences, Frist Center for Autism and Innovation at Vanderbilt University, Vanderbilt University Medical Center, Nashville, Tennessee

6. TEACCH Autism Program, Research Fellow, The University of North Carolina at Chapel Hill, Chapel Hill

7. Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Vanderbilt Kennedy Center, Vanderbilt Brain Institute, Frist Center for Autism and Innovation at Vanderbilt University, Nashville, Tennessee

8. Department of Communication Sciences and Disorders, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu

Abstract

ImportanceHealth professionals routinely recommend intensive interventions (ie, 20-40 hours per week) for autistic children. However, primary research backing this recommendation is sparse and plagued by methodological flaws.ObjectiveTo examine whether different metrics of intervention amount are associated with intervention effects on any developmental domain for young autistic children.Data SourcesA large corpus of studies taken from a recent meta-analysis (with a search date of November 2021) of early interventions for autistic children.Study SelectionStudies were eligible if they reported a quasi-experimental or randomized clinical trial testing the effects of a nonpharmacological intervention on any outcome in participant samples comprising more than 50% autistic children 8 years or younger.Data Extraction and SynthesisData were independently extracted by multiple coders. Meta-regression models were constructed to determine whether each index of intervention amount was associated with effect sizes for each intervention type, while controlling for outcome domain, outcome proximity, age of participants, study design, and risk of detection bias. Data were analyzed from June 2023 to February 2024. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.Main Outcomes and MeasuresThe primary predictor of interest was intervention amount, quantified using 3 different metrics (daily intensity, duration, and cumulative intensity). The primary outcomes of interest were gains in any developmental domain, quantified by Hedges g effect sizes.ResultsA total of 144 studies including 9038 children (mean [SD] age, 49.3 [17.2] months; mean [SD] percent males, 82.6% [12.7%]) were included in this analysis. None of the meta-regression models evidenced a significant, positive association between any index of intervention amount and intervention effect size when considered within intervention type.Conclusions and RelevanceFindings of this meta-analysis do not support the assertion that intervention effects increase with increasing amounts of intervention. Health professionals recommending interventions should be advised that there is little robust evidence supporting the provision of intensive intervention.

Publisher

American Medical Association (AMA)

Reference59 articles.

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