OBJECTIVES: To evaluate the diagnostic accuracy of the Early Autism Evaluation (EAE) Hub system, a statewide network that provides specialized training and collaborative support to community primary care providers in the diagnosis of young children at risk for autism spectrum disorder (ASD). METHODS: EAE Hub clinicians referred children, aged 14 to 48 months, to this prospective diagnostic study for blinded follow-up expert evaluation including assessment of developmental level, adaptive behavior, and ASD symptom severity. The primary outcome was agreement on categorical ASD diagnosis between EAE Hub clinician (index diagnosis) and ASD expert (reference standard). RESULTS: Among 126 children (mean age: 2.6 years; 77% male; 14% Latinx; 66% non-Latinx white), 82% (n = 103) had consistent ASD outcomes between the index and reference evaluation. Sensitivity was 81.5%, specificity was 82.4%, positive predictive value was 92.6%, and negative predictive value was 62.2%. There was no difference in accuracy by EAE Hub clinician or site. Across measures of development, there were significant differences between true positive and false negative (FN) cases (all Ps < .001; Cohen’s d = 1.1–1.4), with true positive cases evidencing greater impairment. CONCLUSIONS: Community-based primary care clinicians who receive specialty training can make accurate ASD diagnoses in most cases. Diagnostic disagreements were predominately FN cases in which EAE Hub clinicians had difficulty differentiating ASD and global developmental delay. FN cases were associated with a differential diagnostic and phenotypic profile. This research has significant implications for the development of future population health solutions that address ASD diagnostic delays.

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Since the onset of the COVID-19 pandemic, there has been a rapid acceleration of innovative research on health services delivery, including real-world clinical implementation and evaluation of tele-assessment for the diagnosis of autism spectrum disorder. Extending this promising work, the present study examined clinical characteristics and diagnostic outcome for young children receiving autism spectrum disorder tele-assessment during the COVID-19 pandemic. The standard tele-assessment procedure included caregiver clinical interview, administration of the TELE-ASD-PEDS (TAP; a novel caregiver-mediated remote autism spectrum disorder observational assessment tool), Vineland-3, and diagnostic feedback and family counseling. Overall, our findings suggest that a definitive autism spectrum disorder diagnosis can be determined for most young children evaluated using standard tele-assessment procedures. While TAP scores and measures of adaptive functioning and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition autism spectrum disorder symptoms are highly associated with autism spectrum disorder diagnostic outcome, a specific pattern of Restricted and Repetitive Behaviors independently predicted differential autism spectrum disorder outcome. Furthermore, our findings suggest that the TAP is useful for evaluation of at-risk children above 36 months of age with delayed language. These results add to an increasing body of research supporting use of tele-assessment, and specifically the TAP, for diagnosis of young children referred for autism spectrum disorder evaluation. Lay abstract The diagnosis of autism spectrum disorder (ASD) has traditionally been made through in-person evaluation. While the COVID-19 pandemic disrupted access to ASD services, there has been remarkable growth in research focused on novel ASD diagnostic practices, including the use of telemedicine. We implemented a standard ASD tele-assessment evaluation procedure, including use of a novel remote clinician-coached, caregiver-delivered ASD assessment tool (TELE-ASD-PEDS; TAP), with the goal of continuing to provide diagnostic services to young children and their families during the pandemic. We examined the relationship between child characteristics and diagnostic outcome for 335 children, ages 14–78 months, who received ASD tele-assessment conducted by psychologists and pediatricians in an outpatient clinic of a Midwestern academic medical center. We found that clinicians could make a determination about ASD diagnosis for most children (85%) evaluated using tele-assessment. Child clinical characteristics, including TAP scores and clinician ratings of ASD symptoms, were related to diagnostic outcome (i.e. diagnosis of ASD, no ASD, and Unsure about ASD). When all clinical characteristics were examined together, the presence of specific repetitive behaviors predicted ASD diagnosis. We also found that the TAP is effective for making an ASD diagnosis when used as part of comprehensive tele-assessment evaluation in children ⩾ 36 months of age with delayed language. Our study adds to an increasing body of research supporting use of tele-assessment for diagnosis of ASD. Although further research is needed, telemedicine may help families from different backgrounds and geographic locations to access high-quality diagnostic services.

Purpose Individuals with autism spectrum disorder (ASD) often receive services from a variety of professionals. However, not all providers receive adequate training in ASD. The Leadership Education in Neurodevelopmental and Related Disabilities (LEND) program includes a core competency of increasing knowledge about neurodevelopmental and related disabilities. This study attempted to assess trainees’ ASD knowledge and self-reported confidence in working with individuals with ASD and sought to understand if training through the LEND program increases these competencies. Additionally, the purpose of this study is to determine factors that predict ASD knowledge and self-reported confidence in providing services to this population, specifically in an interdisciplinary trainee sample. Design/methodology/approach Participants were 170 interdisciplinary LEND trainees during the 2017–2018 academic year. Participants across the USA completed online pre- and posttraining surveys. The survey included demographics, ASD knowledge, questions assessing training experiences, perceived ASD knowledge and self-reported confidence. Findings A one-way analysis of variance determined that there was a statistically significant difference in measured ASD knowledge across disciplines F(7, 148) = 5.151, p < .001. Clinical trainees (e.g. psychology, pediatrics and speech) exhibited more measured ASD knowledge than nonclinical trainees (e.g. neuroscience, legal). Additionally, training experiences, self-reported confidence and perceived ASD knowledge were predictors of measured ASD knowledge. Moreover, trainees increased their measured ASD knowledge, self-reported confidence and had more experiences with individuals who have ASD at the end of the training year. Originality/value These findings suggest that the LEND program may assist in the preparation of professionals to work with individuals with ASD. Training opportunities, including educational and practical experience, to train interdisciplinary providers who will work with individuals with ASD are advised.