Enhancing Diagnostic Follow-up and Care Coordination for Children with Autism in a Busy Resident Continuity Clinic: Leveraging the Electronic Health Record.

PURPOSE: A high-quality primary care clinic should provide clear action points and important care coordination for a child receiving a new diagnosis of autism spectrum disorder (ASD). Unfortunately, a substantial proportion of caregivers report little-to-no post-diagnosis support from their home clinics and primary care providers often report lack of training and resources in providing these supports. METHODS: We implemented an intervention package to investigate the impact on the frequency and quality of follow-up care for children with ASD in a busy, high-volume resident continuity clinic. The package consisted of a care coordination scheduling pathway and a standardized clinical template-embedded in the electronic health record (EHR)-that guided providers through best-practice recommendations and patient resources. RESULTS: As a result of these interventions, 74% of patients had ASD-specific follow-up, a more than threefold increase from baseline with a majority of providers using the EHR-embedded template to guide their visit. Providers also indicated a high degree of usability for the system and that it aided them in following best-practice guidelines for ASD care. CONCLUSION: Through explicit scheduling pathways and a novel EHR template, we saw a significant increase in ASD-specific follow-up visits and implementation of best practices for ASD care, demonstrating a new process for training and engaging primary care providers in clear action steps for post-diagnostic care without having to rely on tertiary referrals.

A Randomized Trial of the Accuracy of Novel Telehealth Instruments for the Assessment of Autism in Toddlers.

PURPOSE: Telemedicine approaches to autism (ASD) assessment have become increasingly common, yet few validated tools exist for this purpose. This study presents results from a clinical trial investigating two approaches to tele-assessment for ASD in toddlers. METHODS: 144 children (29% female) between 17 and 36 months of age (mean = 2.5 years, SD = 0.33 years) completed tele-assessment using either the TELE-ASD-PEDS (TAP) or an experimental remote administration of the Screening Tool for Autism in Toddlers (STAT). All children then completed traditional in-person assessment with a blinded clinician, using the Mullen Scales of Early Learning (MSEL), Vineland Adaptive Behavior Scales, 3rd Edition (VABS-3), and Autism Diagnostic Observation Schedule (ADOS-2). Both tele-assessment and in-person assessment included a clinical interview with caregivers. RESULTS: Results indicated diagnostic agreement for 92% of participants. Children diagnosed with ASD following in-person assessment who were missed by tele-assessment (n = 8) had lower scores on tele- and in-person ASD assessment tools. Children inaccurately identified as having ASD by tele-assessment (n = 3) were younger than other children and had higher developmental and adaptive behavior scores than children accurately diagnosed with ASD by tele-assessment. Diagnostic certainty was highest for children correctly identified as having ASD via tele-assessment. Clinicians and caregivers reported satisfaction with tele-assessment procedures. CONCLUSION: This work provides additional support for the use of tele-assessment for identification of ASD in toddlers, with both clinicians and families reporting broad acceptability. Continued development and refinement of tele-assessment procedures is recommended to optimize this approach for the needs of varying clinicians, families, and circumstances.