An evidence-based framework for determining the optimal amount of intervention for autistic children

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

About the autistic author marker

Trembath, D., Waddington, H., Sulek, R., Varcin, K., Bent, C., Ashburner, J., Eapen, V., Goodall, E., Hudry, K., Silove, N., & Whitehouse, A. (2021). An evidence-based framework for determining the optimal amount of intervention for autistic children. The Lancet Child & Adolescent Health, 5(12), 896-904. https://doi.org/10.1016/s2352-4642(21)00285-6

Publication date: 20 Oct 2021 Added to AutiHub: 25 Sep 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
11
Publication authors identified as autistic
1 / 11 (9.1%)

Abstract

The provision of timely, effective, and socially valid non-pharmacological intervention is at the core of efforts to support the development of young autistic children. These efforts are intended to support children to develop skills, empower their caregivers, and lay the foundation for optimal choice, independence, and quality of life into adulthood. But what is the optimal amount of intervention? In this Viewpoint, we review current guidelines and consider evidence from an umbrella review of non-pharmacological interventions for autistic children aged up to 12 years. We show the lack of consensus on the issue, identify factors that might be relevant to consider, and present an evidence-based framework for determining the optimal amount of intervention for each child, along with recommendations for future research.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 2 Oct 2026 01:35.

Cited references
39
With a DOI
31
Without a DOI, from raw bibliography text
8
1 / 39 (2.6%) cited references include at least one author identified as autistic.
References with data to complete
4 / 39 (10.3%)
References with detected author names
35 / 39 (89.7%)
Without detected author names
4
Without a structured title
0
Without a stable identifier
8
References with raw author names still to review
0
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
163
From DOI or external metadata
163
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
0
64 / 163 (39.3%) names are linked to an author already present in AutiHub. 99 / 163 (60.7%) names are not yet linked.
Names linked to a person identified as autistic
2 / 163 (1.2%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 2 / 64 (3.1%). Distinct people identified as autistic: 2 / 135 (1.5%).
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