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J Autism Dev Disord. 2016 Jun;46(6):1953-1961. doi: 10.1007/s10803-016-2718-4.

Clinical Evaluation of a Novel and Mobile Autism Risk Assessment.

Author information

1
Division of Systems Medicine, Department of Pediatrics, Stanford University, 1265 Welch Road, Stanford, CA, 94305, USA.
2
Department of Biomedical Data Science, Stanford University, 1265 Welch Road, Stanford, CA, 94305, USA.
3
Division of Systems Medicine, Department of Pediatrics, Stanford University, 1265 Welch Road, Stanford, CA, 94305, USA. dpwall@stanford.edu.
4
Department of Biomedical Data Science, Stanford University, 1265 Welch Road, Stanford, CA, 94305, USA. dpwall@stanford.edu.

Abstract

The Mobile Autism Risk Assessment (MARA) is a new, electronically administered, 7-question autism spectrum disorder (ASD) screen to triage those at highest risk for ASD. Children 16 months-17 years (N = 222) were screened during their first visit in a developmental-behavioral pediatric clinic. MARA scores were compared to diagnosis from the clinical encounter. Participant median age was 5.8 years, 76.1 % were male, and most participants had an intelligence/developmental quotient score >85; 69 of the participants (31 %) received a clinical diagnosis of ASD. The sensitivity of the MARA in detecting ASD was 89.9 % [95 % CI = 82.7-97]; the specificity was 79.7 % [95 % CI = 73.4-86.1]. In a high-risk clinical setting, the MARA shows promise as a screen to distinguish ASD from other developmental/behavioral disorders.

KEYWORDS:

Autism detection; Autism screening; Clinical validation; Machine learning

PMID:
26873142
PMCID:
PMC4860199
DOI:
10.1007/s10803-016-2718-4
[Indexed for MEDLINE]
Free PMC Article

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