Support Preferences and Clinical Decision Support Systems (CDSS) in the Clinical Care of Autistic Children: Stakeholder Perspectives

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

Sulek, R., Robertson, J., Goodall, E., Liew, A. W. C., Pillar, S., Upson, G., Whitehouse, A., Wicks, R., & Trembath, D. (2024). Support Preferences and Clinical Decision Support Systems (CDSS) in the Clinical Care of Autistic Children: Stakeholder Perspectives. Advances in Neurodevelopmental Disorders, 9(2), 355-365. https://doi.org/10.1007/s41252-024-00410-4

Journal or book title
Advances in Neurodevelopmental Disorders
Publisher
Springer Science and Business Media LLC
Volume
9
Issue
2
Pages
355-365
Publication date: 5 Jul 2024 Added to AutiHub: 12 Aug 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
9
Publication authors identified as autistic
1 / 9 (11.1%)

Abstract

Abstract Objectives Clinical decision support systems (CDSS) are increasingly utilised within healthcare settings to enhance decision making. However, few studies have investigated their application in the context of clinical services for autistic people, with no research to date exploring the perspectives of the key stakeholders who are, or in the future may be, impacted by their use. Given the importance of stakeholder perspectives in ensuring that CDSSs are relevant, feasible, and acceptable to those who use them, the aim of this study was to examine the views of key stakeholders in relation to support preferences and a proposed CDSS intended to aide in the selection of the most appropriate supports for autistic children. Method Using a co-designed, mixed-methods approach, 20 participants comprising autistic adults, parents of autistic children, and practitioners providing services to autistic children were invited to participate in focus groups, or an open-ended online survey, to explore views regarding support provision and any opportunities, barriers, recommendations, and support for the use of CDSSs in clinical practice. Results Participants highlighted potential benefits of using a CDSS in clinical practice, such as creating efficiencies and consistency in decision making when selecting therapies and supports, provided it was part of a holistic approach to working with autistic children. Potential barriers largely centred on concerns about the safety of data to be utilised within the system. Conclusions The findings indicate that CDSS have the potential to play a valuable role in selecting supports for autistic children, providing appropriate safeguarding occurs.

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 01:40.

Cited references
21
With a DOI
15
Without a DOI, from raw bibliography text
6
3 / 21 (14.3%) cited references include at least one author identified as autistic.
References with data to complete
6 / 21 (28.6%)
References with detected author names
15 / 21 (71.4%)
Without detected author names
6
Without a structured title
6
Without a stable identifier
6
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
73
From DOI or external metadata
73
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
29
15 / 73 (20.5%) names are linked to an author already present in AutiHub. 58 / 73 (79.5%) names are not yet linked.
Names linked to a person identified as autistic
3 / 73 (4.1%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 3 / 15 (20.0%). Distinct people identified as autistic: 3 / 73 (4.1%).
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