Aug 2026· Frontiers in Psychiatry· Vol 17· 0 citations· 51 references
Medicine
TL;DR
The ASD-PEDS demonstrates preliminary feasibility as an observational assessment tool to support standardized autism evaluation of young children in low-resource settings and study of psychometric performance in a heterogeneous larger sample of children is a necessary next step for cultural validation.
Abstract
Background The development and implementation of culturally appropriate, easy-to-administer, open-source assessment tools are critical for advancing autism detection and research in low- and middle-income countries. Methods The ASD-PEDS, an open-source semi-structured observational tool for assessing autism-related behaviors in young children, was adapted for use in Kenya via iterative refinement throughout the process of forward–backward translation (English–Kiswahili), cognitive interviews with clinicians and caregivers, and field testing to ensure cultural relevance. Results Cognitive interviews revealed culturally normative early social communication and play skills aligned with key behaviors assessed by the ASD-PEDS. Field testing further identified targets for adaptation including development of bilingual administration guidelines and cultural modifications to assessment activities. During field testing, ASD-PEDS categorical risk matched the child’s diagnosis in 100% of cases, demonstrating initial alignment with clinical classification. Conclusions With minor adaptations, the ASD-PEDS demonstrates preliminary feasibility as an observational assessment tool to support standardized autism evaluation of young children in low-resource settings. Given the early-stage nature of this adaptation study, findings should be interpreted as preliminary. Study of psychometric performance in a heterogeneous larger sample of children is a necessary next step for cultural validation.
These findings underscore the need for training models that provide tailored resources and sustained support around integration within existing practice systems and refine diagnostic training based on provider feedback to increase their long-term impact and facilitate community-based autism assessment.
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