Tele-assessment of young children referred for autism spectrum disorder evaluation during COVID-19: Associations among clinical characteristics and diagnostic outcome

Validation of an Enhanced Telehealth Platform for Toddlers at Increased Likelihood for a Diagnosis of Autism Spectrum Disorder (ASD)

Use of telehealth assessments for toddlers at increased likelihood of autism spectrum disorder (ASD) began prior to the global COVID-19 pandemic; however, the value of telehealth assessments as an alternative to in-person assessment (IPA) became clearer during the pandemic. The Naturalistic Observation Diagnosis Assessment (NODA™), previously demonstrated as a valid and reliable tool to evaluate asynchronous behaviors for early diagnosis, was enhanced to add synchronous collection of behaviors to assist clinicians in making a differential diagnosis of ASD. This study was conducted to validate the information gathered through NODA-Enhanced (NODA-E™) as compared to a gold standard IPA. Forty-nine toddlers aged 16.0-32.1 months of age, recruited through community pediatric offices and a tertiary ASD clinic, participated in both NODA-E and IPA assessments. There was high agreement between the two assessment protocols for overall diagnosis (46 of 49 cases; 93.6%; κ = .878), specific diagnostic criteria for social communication and social interaction (SCI; range 95.9-98%; κ = .918-.959), and for two of four criteria specified for restricted and repetitive behaviors (RRB; range 87.8-98%; κ = .755 and .959). There was lower agreement for two subcategories of RRBs (range 65.3-67.3%; κ = .306 and .347). NODA-E is a tool that can assist clinicians in making reliable and valid early ASD diagnoses using both asynchronous and synchronous information gathered via telehealth and offers an additional tool within a clinician's assessment toolbox.

Applying a User-Centered Design Framework to Develop a Remote Research Assessment Protocol for a Randomized Clinical Trial for Toddlers with Early Autism Characteristics

COVID-19 required many research teams to shift from in-person to remote assessments, which posed both procedural and theoretical challenges. While research has explored the utility of remote assessments for autism diagnosis from the perspective of families and clinicians, less is known about their application in clinical trials. This paper describes the development of a remote research assessment protocol for a randomized clinical trial focusing on the implementation of reciprocal imitation teaching (RIT) with toddlers in Part C early intervention. This project spans two phases. For Phase 1, our team developed and documented a series of steps utilizing user-centered design (UCD) strategies (e.g., recruiting potential users, creating a prototype, engaging in iterative development) for the purpose of redesigning an assessment protocol for a remote environment. For Phase 2, we examined preliminary outcomes of the redesign process. Primary end users (assessors) rated post-redesign usability and acceptability, while acceptability was examined using attrition data from secondary end users (family participants). Preliminary fidelity of implementation was also examined. The iterative redesign process allowed the research team to refine aspects of the assessment that ultimately led to promising preliminary ratings of usability, acceptability, and feasibility, as well as high fidelity. Preliminary data suggest that the redesigned assessment appears to be an acceptable, feasible, and usable tool for autism clinical trial research and that assessors can use it with fidelity. Further research is needed to examine the reliability and validity of the assessment, as well as implementation characteristics on a larger scale.

Equivalence of the autism spectrum disorders diagnostics in children in telemedicine and face-to-face consultations: a literature review

BACKGROUND

The use of remote forms of mental health care has become widespread during the period of epidemiological restrictions due to the COVID-19 pandemic. Methodological and organizational issues remain insufficiently developed, including the level of equivalence of the use of telemedicine technologies in the diagnosis of autistic spectrum disorders.

AIM

Study of the equivalence of diagnostic tools in the framework of telemedicine and face-to-face consultations in children with autistic spectrum disorders according to modern scientific literature.

METHODS

A descriptive review of scientific studies published between January 2017 and May 2023 was carried out. The papers presented in the electronic databases PubMed, Web of Science, and eLibrary were analyzed. Descriptive analysis was used to summarize the obtained data.

RESULTS

The conducted analysis convincingly indicates sufficient equivalence of remote tools used in different countries for level I screening, assessment scales, and structured procedures for diagnosing autistic spectrum disorders with a high level of specificity from 60.0 to 94.4%, sensitivity from 75 dog 98.4%, and satisfaction of patients and their legal representatives.

CONCLUSION

The widespread use of validated telemedicine diagnostic systems in clinical practice contributes to the early detection of autistic spectrum disorders, increasing the timeliness and effectiveness of medical, corrective psychological, pedagogical, and habilitation interventions.