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Systematic approach to school-based assessments for autism spectrum disorders to reduce inequalities: a feasibility study in 10 primary schools

Wright, Barry; Konstantopoulou, Kalliopi; Sohal, Kuldeep; Kelly, Brian; Morgan, Geoff; Hulin, Cathy; Mansoor, Sara; (2021) Systematic approach to school-based assessments for autism spectrum disorders to reduce inequalities: a feasibility study in 10 primary schools. BMJ Open , 11 (1) , Article e041960. 10.1136/bmjopen-2020-041960. Green open access

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Abstract

OBJECTIVES: This was a pilot study to explore whether the Early Years Foundation Stage Profile (EYFSP) carried out by UK teachers within the 'reception' year, combined with the Social Communication Questionnaire (SCQ), can lead to early identification of children with autism spectrum disorders (ASD) and early access to intervention and can reduce inequity in access to assessment and intervention. DESIGN: Pragmatic prospective cohort. SETTING: Ten primary schools from the SHINE project in Bradford. PARTICIPANTS: 587 pupils from 10 schools who transitioned from reception to year 1 in July 2017 and had the EYFSP completed were included in the final study. INTERVENTIONS: The assessment involved a multidisciplinary team of three staff who completed Autism Diagnostic Interview-Revised, Autism Diagnostic Observation Schedule Version 2, classroom observations with an ASD checklist, a teacher-based ASD questionnaire and a final consensus meeting. PRIMARY OUTCOME MEASURE: National Institute for Health and Care Excellence guideline-compliant clinical diagnosis of ASD. SECONDARY OUTCOME MEASURES: Age of diagnosis, demographic data and feasibility parameters. RESULTS: Children with low scores on the EYFSP were more likely to score above the SCQ threshold of 12, indicating potential autism (50% compared with 19% of children with high scores on the EYFSP (p<0.001)). All children scoring above the SCQ threshold received a full autism assessment; children who scored low on the EYFSP were more likely to be diagnosed with autism (and other developmental issues) compared with those who did not. CONCLUSIONS: We identified nine new children with a diagnosis of ASD, all from ethnic minorities, suggesting that this process may be addressing the inequalities in early diagnosis found in previous studies. All children who scored above the SCQ threshold required support (ie, had a neurodevelopmental disorder), indicating the EYFSP questionnaire captured 'at-risk' children.

Type: Article
Title: Systematic approach to school-based assessments for autism spectrum disorders to reduce inequalities: a feasibility study in 10 primary schools
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/bmjopen-2020-041960
Publisher version: https://doi.org/10.1136/bmjopen-2020-041960
Language: English
Additional information: This work is licensed under a Creative Commons License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Science & Technology, Life Sciences & Biomedicine, Medicine, General & Internal, General & Internal Medicine, community child health, child &amp, adolescent psychiatry, developmental neurology &amp, neurodisability, Autism Spectrum Disorders, Inequalities, SOCIAL-COMMUNICATION-QUESTIONNAIRE, POPULATION COHORT, CHILDREN, IDENTIFICATION
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
URI: https://discovery.ucl.ac.uk/id/eprint/10212128
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