Telehealth and autism: Are telehealth language assessments reliable and feasible for children with autism?

BACKGROUND: Access to timely and appropriate speech-language pathology (SLP) services is a significant challenge for many families. Telehealth has been used successfully to treat a range of communication disorders in children and adults. Research examining the use of telehealth for children with autism has focused largely on diagnosis, parent-implemented interventions, and behavioural interventions involving interactions between clinicians and parents. There is, however, very limited research into the use of telehealth directly to assess or intervene with children with autism. This paper reports the outcomes of a study of telehealth language assessments with primary school-aged children with autism. AIMS: To evaluate the reliability and feasibility of telehealth language assessments for school-aged children with autism. METHODS & PROCEDURES: The language skills of 13 children with autism aged 9-12 who attended mainstream schools or support classes were assessed using the Clinical Evaluation of Language Fundamentals-4th Edition. An SLP delivered and scored four subtests of the assessment via telehealth from a remote location. A second SLP at the same location as the child co-scored the online subtests to provide a measure of reliability and delivered the remaining subtests. The local SLP completed checklists in both conditions to provide observations regarding behaviour. Parent feedback was elicited via survey. OUTCOMES & RESULTS: There was strong interrater reliability between the telehealth and face-to-face conditions (correlation coefficients ranged from r = 0.919 to 0.990 across the subtests and Core Language Score) and good agreement between clinicians on all measures. Analysis using the Wilcoxon Signed Rank test indicated no significant differences in children's behaviour between the telehealth and face-to-face conditions, although variation between individuals was observed. Parents provided generally positive feedback about the use of telehealth for the assessments. CONCLUSIONS & IMPLICATIONS: The findings of this study provide preliminary support the use of telehealth assessments of school-aged children with autism. Comparison of telehealth and face-to-face assessment scores showed high agreement and correlation, and while the children showed individual differences in their behaviour during the telehealth sessions, there was no clear difference between the conditions at the group level. The findings suggest that telehealth may present a reliable and feasible approach to the assessment of language for children with autism in some circumstances as a primary or adjunct service model, while acknowledging that individual differences among these children may be important to consider when planning both assessment and intervention via telehealth.

Autism: One or many spectrums?

Our conceptualisation of autism spectrum disorder has changed over time, with recent classifications reflecting a heterogeneous clinical presentation now regularly encountered in routine general paediatric practice. As the prevalence of autism and associated demands for services have increased so has research into understanding the cause and trials aimed at providing best care and intervention. However, the heterogeneity of autism has meant that no single aetiology can account for all differences in presentation, and not all children benefit from broad-based interventions. Now is the time to rethink how best to understand individual differences in order to focus research efforts and take steps towards more sophisticated strategies that go beyond the behaviours we look for when making an autism diagnosis. We suggest adopting a dimensional approach to autism assessment, with the consideration of eight spectrums of abilities, ways of thinking and behaviour. This eight-spectrum approach will assist clinicians to consider each individual's strengths and needs and personalise interventions and support accordingly. Profiling individual skills across these dimensions may also provide researchers with a greater capacity to link causal pathways with specific phenotypes, which is needed to develop precision medicine for autism.

Clinician Proposed Predictors of Spoken Language Outcomes for Minimally Verbal Children with Autism Spectrum Disorder.

Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and experiences. Using the Framework Method of analysis, we identified 9 themes accounting for 183 different participant references to potential factors. Participants highlighted the relevance of clusters of fine-grained social, communication, and learning behaviours, including novel insights into prelinguistic vocal behaviours. The participants suggested the potential value of dynamic assessment in predicting spoken language outcomes. The findings can inform efforts to developing clinically relevant methods for predicting children's communication outcomes.

Predictors of Expressive Language Change for Children with Autism Spectrum Disorder Receiving AAC-Infused Comprehensive Intervention.

Comprehensive interventions for children with autism spectrum disorder (ASD) often incorporate augmentative and alternative communication (AAC); however, variability in outcomes exists even among children who access similar intervention. This study investigated predictors of expressive language change for 48 children with ASD aged 31 to 67 months receiving AAC-infused intervention. The relationships between participants' initial responses to AAC and expressive language change were examined. Commonly reported predictors (IQ, chronological age, ASD symptomatology) did not significantly predict expressive language change. AAC factors (visual attention, object play, word learning) entered at Step 2 of a hierarchical multiple regression, explained an additional 42% of the variance. The findings provide preliminary data on child characteristics associated with expressive language changes within AAC-infused comprehensive interventions.

Profiles of vocalization change in children with autism receiving early intervention.

Children with autism spectrum disorder (ASD) commonly present with comorbid language impairment, negatively impacting their learning and participation across settings. Addressing these needs requires a detailed understanding of their communication trajectories. In this study, we used the language environment and analysis (LENA) system to examine possible changes in children's (a) vocalizations and (b) ratio of speech to nonspeech vocalizations over a 10-month period. Data for 23 children with ASD (17M, 6F; ages 32-67 months) were analyzed, including monthly 3-hr in-class recordings and standardized measures of language, cognition, and ASD characteristics. Using hierarchical generalized linear models, we found significant time-trends for child vocalizations (P ≤ 0.001) and the vocalization ratio (P = 0.02), reflecting a waxing and waning pattern. Children with higher expressive language scores (Mullen scales of early learning, Vineland adaptive behavior scales - 2nd Ed.) and nonverbal cognition (Mullen scales of early learning), and fewer ASD characteristics (social communication questionnaire) demonstrated greater increases in the vocalization ratio over time (P values 0.04-0.01). Children with greater language and cognition difficulties were the most vocal, but produced a higher proportion of nonspeech vocalizations. The results demonstrate that significant fluctuations, as opposed to linear increases, may be observed in children with ASD receiving intervention, highlighting the value of assessment at multiple time-points. In addition, the findings highlight the need to consider both the quantity (vocalization counts) and quality (ratio of speech to nonspeech vocalizations) when interpreting LENA data, with the latter appearing to provide a more robust measure of communication. Autism Research 2019, 12: 830-842. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY ABSTRACT: In this study, we examined possible changes in speech and nonspeech vocalizations in 23 children with autism attending a comprehensive early intervention program over a 10-month period. Contrary to our expectation, we observed a waxing and waning pattern of change in children's vocalizations over time, rather than a steady increase. We also found evidence to suggest that looking at the quality of children's vocalizations (i.e., the ratio of speech to nonspeech vocalizations) provides a more accurate picture of children's development than simply looking at the quantity (i.e., how frequently they vocalize).