Short report: Examining race, ethnicity, sex, and gender among autistic youth and their educators who participated in school-based research.

LAY ABSTRACT: Schools are the main provider of behavioral health services in the United States (US). Conducting research in schools may help increase access for autistic youth, but there is limited research about who participates in school-based autism research. The researchers examined data spanning 14 years of participation in school-based autism research. All data were collected in the US. Researchers found that in this sample, more than half of the youth identified as racial/ethnic minoritized (REM) youth. However, demographics of sampled youth were significantly different than expected, based on publicly available school-based population demographics. More youth identified as White non-Hispanic than would be expected in those schools. Majority of the sampled educators also identified as White non-Hispanic. High percentages of autistic REM youth suggest school-based autism research may be an effective way of providing services to more diverse populations. However, sampled schools were also not representative of a US national sample, with sampled schools having fewer White non-Hispanic youth than would be expected from US national statistics. Complexity around representation of schools sampled and demographics of service environments suggests a need for more research.

Does Gestural Communication Influence Later Spoken Language Ability in Minimally Verbal Autistic Children?

PURPOSE: The current study examined the predictive role of gestures and gesture-speech combinations on later spoken language outcomes in minimally verbal (MV) autistic children enrolled in a blended naturalistic developmental/behavioral intervention (Joint Attention, Symbolic Play, Engagement, and Regulation [JASPER] + Enhanced Milieu Teaching [EMT]). METHOD: Participants were 50 MV autistic children (40 boys), ages 54-105 months (M = 75.54, SD = 16.45). MV was defined as producing fewer than 20 spontaneous, unique, and socially communicative words. Autism symptom severity (Autism Diagnostic Observation Schedule-Second Edition) and nonverbal cognitive skills (Leiter-R Brief IQ) were assessed at entry. A natural language sample (NLS), a 20-min examiner-child interaction with specified toys, was collected at entry (Week 1) and exit (Week 18) from JASPER + EMT intervention. The NLS was coded for gestures (deictic, conventional, and representational) and gesture-speech combinations (reinforcing, disambiguating, supplementary, other) at entry and spoken language outcomes: speech quantity (rate of speech utterances) and speech quality (number of different words [NDW] and mean length of utterance in words [MLUw]) at exit using European Distributed Corpora Project Linguistic Annotator and Systematic Analysis of Language Transcripts. RESULTS: Controlling for nonverbal IQ and autism symptom severity at entry, rate of gesture-speech combinations (but not gestures alone) at entry was a significant predictor of rate of speech utterances and MLUw at exit. The rate of supplementary gesture-speech combinations, in particular, significantly predicted rate of speech utterances and NDW at exit. CONCLUSION: These findings highlight the critical importance of gestural communication, particularly gesture-speech (supplementary) combinations in supporting spoken language development in MV autistic children.

Comparing the Implementation Context for Early Intervention Services Before and During the COVID-19 Pandemic.

The COVID-19 pandemic not only led to drastic changes in the implementation context for early intervention and early childhood special education services in 2020, but has had an enduring effect on the organizations, educators, families, and children with developmental delays and disorders. Through secondary data analysis, characteristics of toddlers with autism being served in a publicly funded center-based early intervention program as well as the characteristics of their educators are examined, comparing those who were enrolled in (a) two randomized trials conducted prior to the pandemic and (b) one ongoing randomized trial that launched in return to in-person educational services after the pandemic shutdown. Significant demographic differences are found for toddlers, where the current study includes more girls (p = 0.002), who are younger (p < .001) than the prior studies. Further, toddlers enrolled in the current trial are entering with significantly younger receptive (p < .001) and expressive language age-equivalent scores (p < .001) than toddlers from the prior studies. In addition, significant differences are also found for teaching assistants (TAs), who are younger (p < .001), less experienced supporting children with autism (p < .001), have spent less time in this position (p < .001), and who are still working toward college degrees (p < .001) than TAs in the prior studies. Implications of these changes for both intervention strategies to support the strengths and needs of the toddlers (e.g., reduce frequency of TA-child pairing changes to build rapport, increase time in adult-child JASPER before adding peers) as well as implementation strategies (e.g., increase foundational content, TA teaming) to support the training and retention of the TAs are discussed. Clinical Trials Registry number: NCT04283045.

Building Better Bridges: Outcomes of a Community-Partnered New School Transition Intervention for Students on the Autism Spectrum.

New school transitions can be challenging for students on the autism spectrum. No published, evidence-based interventions exist to support families and teachers of students transitioning to elementary and secondary school during this critical period. Using Community Partnered Participatory Research, we developed Building Better Bridges (BBB), a caregiver coaching intervention that includes training on effective school communication, educational rights, advocacy, and child preparation strategies. We compared BBB (n = 83) to a module/resources-only comparison (n = 87) in a four-site randomized controlled trial in racially and ethnically diverse, under-resourced communities. In our intent-to-treat analysis, caregivers and teachers in BBB rated students' transitions to the new classroom as more positive, relative to the comparison group. Results suggest this low-cost intervention can improve the transition process for families and students at high risk of poor transitions.

Profiles of minimally verbal autistic children: Illuminating the neglected end of the spectrum.

Heterogeneity among individuals on the autism spectrum is widely acknowledged as a barrier to develop effective interventions. Overcoming this challenge requires characterization of individual differences, especially for children that are minimally verbal and often excluded from research studies. Most studies that describe autistic subgroups identify a single minimally verbal verbal group based on a single identifying measure (e.g., ADOS module one or single item indicating absence of phrase speech). Determining personalized courses of intervention requires a more detailed understanding since a single intervention will not be effective for all who are minimally verbal. The present study identified comprehensive profiles of cognitive, language, and social communication skills within a large, diverse, group of minimally verbal children with autism. The analysis combined baseline data from two studies to yield a sample of 344 participants, who were 3 to 8 years old at the time of study onset, with 60% who identified as having a race/ethnicity other than White. Via latent profile analysis (LPA), a three-group model was identified as best fit to the data. Profile identification was dependent on a participant's combination of cognitive, expressive, and social communication characteristics, rather than a single domain. One group (n = 206) had global delays, while the other two groups (n = 95 and n = 43) had variable strengths in cognition and communication. Findings suggest that low-frequency/minimally verbal communicators with autism have heterogeneous characteristics that can be systematically organized.

Comparative efficacy of an early intervention "parent and me" program for infants showing signs of autism: The Baby JASPER model.

Despite important advancements into the early detection of autism, there are still few empirically supported interventions for children under the age of two years who are showing early signs. Caregiver-mediated interventions have gained in popularity as a method for delivering support to the child and family. The current study builds on current work by enrolling a comparatively large cohort of infants (ages 12-22 months of age) displaying early signs of autism into a randomized controlled intervention program. Infants and parents received a group-based program using a standard early childhood curriculum. In addition, all families were randomly assigned to receive parent training in the form of either parent-mediated Joint Attention Symbolic Play Engagement and Regulation (JASPER) training or psychoeducation. Infants in both classrooms made substantial gains in social-communication, play, and cognition during a brief, 8-week period. All infants gained over an average of 10 points in DQ and increased in standardized measures of social-communication and play, with these gains maintaining at a 2-month follow-up visit. The classroom that also received JASPER increased in child initiated joint engagement and play level during dyadic interactions with their parents, while the classroom that received psychoeducation increased in joint attention during a standardized assessment delivered by an independent assessor. Infant familial risk for autism (older sibling with autism) also moderated the effect of treatment on child initiated joint engagement where infants in the JASPER classroom without familial risk made the most gains from baseline to exit of the program. This study highlights the promise of intervening at the earliest stages to promote positive outcomes for children and families.

Real-time coded measures in natural language samples capture change over time in minimally verbal autistic children.

Prior research supports the use of natural language sampling (NLS) to assess the rate of speech utterances (URate) and the rate of conversational turns (CTRate) in minimally verbal (MV) autistic children. Bypassing time-consuming transcription, previous work demonstrated the ability to derive URate and CTRate using real-time coding methods and provided support for their strong psychometric properties. (1) Unexplored is how URate and CTRate using real-time coding methods capture change over time and (2) whether specific child factors predict changes in URate and CTRate in 50 MV autistic children (40 males; M = 75.54, SD = 16.45 (age in months)). A NLS was collected at Time 1 (T1) and Time 2 (T2) (4.5 months between T1 and T2) and coding was conducted in ELAN Linguistic Annotator software using a real-time coding approach to derive URate and CTRate. Findings from paired samples Wilcoxon tests revealed a significant increase in child URate (not examiner URate) and child and examiner CTRate from T1 to T2. Child chronological age, Mullen expressive language age equivalent scores, and URate and CTRate at T1 were predictive of URate and CTRate at T2. Findings support using NLS-derived real-time coded measures of URate and CTRate to efficiently capture change over time in MV autistic children. Identifying child factors that predict changes in URate and CTRate can help in the tailoring of goals to children's individual needs and strengths.