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Updated: Sep 12, 2026
Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
Published on: March 14, 2018
RITA-T (rapid interactive screening test for autism in toddlers): a scoping review of psychometric properties,
Huijuan Liu1,2, Guiju Zhang2,3, Ziyun Li1
1Clinical Research Center for Child Health and Disorders, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, China.
Background:
The Rapid Interactive Screening Test for Autism in Toddlers (RITA-T) is a clinician-administered, interactive screening instrument for toddlers aged 18-36 months that directly assesses core social-communicative abilities through structured play. Since its introduction in 2015, validation studies have emerged across diverse populations and cultural contexts.
Objective:
This scoping review systematically maps the evidence on RITA-T's development, psychometric properties, cross-cultural validation, clinical applications, and comparison with other level 2 screening instruments.
Methods:
A systematic search of PubMed, Web of Science, Scopus, PsycINFO, and CNKI was conducted through June 2026. Studies reporting original data on RITA-T administration in toddlers aged 18-36 months were included. Methodological quality was assessed using the QUADAS-2 tool.
Results:
Of 48 records identified, 10 original studies met the inclusion criteria: 7 diagnostic validation studies encompassing 659 toddlers across five countries (United States, Canada, Lebanon, Turkey, and China) and 3 implementation or training studies. RITA-T yielded strong psychometric properties across settings, with reported cutoff scores of 14-17, sensitivity of 0.74-1.00, and specificity of 0.50-1.00. Cross-cultural adaptations demonstrated comparable diagnostic accuracy across English, Arabic, Turkish, and Chinese versions.
Conclusions:
RITA-T represents an effective level 2 ASD screening tool with robust cross-cultural applicability. Future research should address long-term predictive validity, telehealth adaptation, and cost-effectiveness.
