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Interest in telehealth assessment for autism has increased due to COVID-19 and subsequent expansion of remote psychological services, though options that are easy for clinicians to adopt and available through the lifespan are limited. The Brief Observation of Symptoms of Autism (BOSA) provides a social context with standardized materials and activities that can be coded by clinicians trained in the Autism Diagnostic Observation Schedule. The current project examined psychometric properties to determine optimal use for each BOSA version. Three hundred and seven participants with 453 BOSAs were included to determine best performing items for algorithms, validity, sensitivity, specificity, recommended cut-offs, and proposed ranges of concern. While preliminary, the BOSA provides a promising new option for telehealth-administered assessment for autism.

The current study investigated the utility of the Brief Observation of Social Communication Change-Phrase Speech Young Fluent (BOSCC-PSYF) as an outcome measure of treatment response by analyzing the measure’s psychometric properties and initial validity. The BOSCC coding scheme was applied to 345 administrations from 160 participants diagnosed with autism. Participants included individuals of any age with phrase speech, or individuals under the age of 8 years with complex sentences. All were receiving behavioral intervention throughout the study. Test–retest and inter-rater reliability were good for the Early Communication and Social Reciprocity/Language domains, and fair for the Restricted and Repetitive Behavior domain. Significant changes occurred over time in the Early Communication and Social Reciprocity/Language domains, and Core Total scores. The BOSCC-PSYF may provide a low-cost, flexible, and user-friendly outcome measure that reliably measures changes in broad social communicative behaviors in a short period of time.

The evaluation of the overlap between the ADOS BOSCC and Standard BOSCC as well as the exploration of child characteristics that may predict change are important steps in consolidating data-driven definitions of “improvement”. Participants were seen between 2 and 5 times with Standard BOSCC and ADOS BOSCC observations over the course of early intervention trials (Grzadzinski et al. in J Autism Dev Disord 46:2464, 2016; Kim et al. in Autism 23:5, 2019). Results showed consistency between the Standard BOSCC and ADOS BOSCC, highlighting the utility of both as metrics of change and treatment outcome across contexts. Baseline characteristics may play a role in the tailoring of early intervention to maximize treatment outcome and may offer guidance when determining which outcome measures to use.

The Communication Complexity Scale (CCS; Brady et al., 2012) was created to fill a void in measures of expressive communication skills in individuals who communicate primarily with presymbolic or early symbolic means. CCS scores reflect expressive communication observed during interactive communication contexts. Two studies were completed to examine the reliability and validity of the revised CCS scores. Participants in both studies had minimal verbal skills (i.e., produced less than 20 functional words). Study 1 examined interobserver agreement, test-retest reliability, and concurrent validity for 239 participants with intellectual disabilities between the ages of 3-66 years, assessed with the protocol developed at the University of Kansas (KU CCS). CCS scores were compared with scores from the Vineland Adaptive Behavior Scales-Second Edition (Sparrow, Cicchetti, & Balla, 2005) and the Communication Matrix (Rowland & Fried-Oken, 2010). Study 2 examined the reliability and concurrent validity for CCS scores derived from 110 children (chronological age = 3-9) with autism from diverse backgrounds. These children were assessed with the Early Social Communication Scale (Mundy et al., 2003). CCS scores were compared with rates of communication derived from the Early Social Communication Scale. CCS scores were moderately correlated with scores from existing measures of early communication. In addition, CCS scores from different raters were reliable, and test-retest scores were highly similar. These findings support the validity and reliability of the CCS when used with individuals across a wide range of ages and with various types of disabilities. The CCS can be used in research and clinical practice to describe extant communication levels in individuals with minimal verbal skills.

Changes in minimal verbal communication by children with autism spectrum disorder (ASD) were measured with the Communication Complexity Scale (CCS) and other communication assessments. The CCS measures complexity of preverbal and beginning verbal communication used to communicate behavior regulation and joint attention. The purpose was to investigate if the CCS was responsive to changes associated with a behavioral intervention aimed at improving communication skills. Changes were detected with CCS scores, rates of initiating joint attention, and the Mullen Scales of Early Learning (MSEL) Expressive Language subscale. Significant changes in CCS scores were also detected for a subgroup of participants who did not show significant changes on the MSEL Expressive Language subscale, demonstrating that CCS scores are sensitive to changes associated with a behavioral intervention.

Changes in minimal verbal communication by children with autism spectrum disorder (ASD) were measured with the Communication Complexity Scale (CCS) and other communication assessments. The CCS measures complexity of preverbal and beginning verbal communication used to communicate behavior regulation and joint attention. The purpose was to investigate if the CCS was responsive to changes associated with a behavioral intervention aimed at improving communication skills. Changes were detected with CCS scores, rates of initiating joint attention, and the Mullen Scales of Early Learning (MSEL) Expressive Language subscale. Significant changes in CCS scores were also detected for a subgroup of participants who did not show significant changes on the MSEL Expressive Language subscale, demonstrating that CCS scores are sensitive to changes associated with a behavioral intervention.

Registered Behavior Technicians (RBTs) are one of the largest certified occupational groups providing intervention services to individuals with autism spectrum disorder (ASD). RBTs are classified as human service professionals, who are workers responding to the needs of people. As human service professionals, RBTs face significant occupational stressors that can be emotionally challenging and reduce occupational well-being (Maslach & Jackson, 1981). Occupational well-being is defined as a positive evaluation of various aspects of one’s job (Horn, Taris, Schaufeli, & Schreurs, 2004). It is a key construct in organizational psychology because it is related to various individual and organizational outcomes such as health and job performance (e.g., Harter, Schmidt, & Keyes, 2003). This study is the first to apply the job demands-resources (JD-R) model of occupational well-being to identify job characteristics and organizational outcomes related to optimal well-being in RBTs working with individuals with ASD. The first aim of the study was to explore the relationship between job demands, resources, and occupational well-being (i.e., burnout and work engagement) of RBTs. The second aim of the study was to explore the relationship between occupational well-being and organizational outcomes (i.e., turnover intention, organizational commitment, and in-role job performance). The participants were 311 RBTs with complete responses to the study survey. Approximately 45% of RBTs reported high emotional exhaustion. Job demands (e.g., challenging behaviors) and resources (e.g., training) were significantly related to burnout, while resources (e.g., social resources) were significantly related to work engagement. Both burnout (i.e., emotional exhaustion) and work engagement were significantly related to several organizational outcomes (e.g., turnover intention). Based on the study results, the field may begin to provide better support for RBTs to reduce burnout and improve work engagement. Clinical implications are discussed.

The purpose of this study was to determine if children with ASD receiving an intervention increased in the amount of time they spent in joint engagement (JE) episodes and used more spontaneous comments inside JE than outside JE. Fifty-seven school-aged children, classified as minimally verbal, participated in a 6-month intervention aimed at improving JE and language. We found significant increases in the mean duration of JE episodes. Comparing language inside and outside episodes of JE, children used more language in the context of JE. Results yielded a significant interaction between JE and time on spontaneous comments, indicating growth during episodes of JE. Results of this study emphasize the importance of targeting commenting and JE for minimally verbal children with ASD.

Cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs) are powerful in vitro models to study the mechanisms underlying cardiomyopathies and cardiotoxicity. Quantification of the contractile function in single hiPSC-CMs at high-throughput and over time is essential to disentangle how cellular mechanisms affect heart function. Here, we present CONTRAX, an open-access, versatile, and streamlined pipeline for quantitative tracking of the contractile dynamics of single hiPSC-CMs over time. Three software modules enable: parameter-based identification of single hiPSC-CMs; automated video acquisition of >200 cells/hour; and contractility measurements via traction force microscopy. We analyze >4,500 hiPSC-CMs over time in the same cells under orthogonal conditions of culture media and substrate stiffnesses; +/− drug treatment; +/− cardiac mutations. Using undirected clustering, we reveal converging maturation patterns, quantifiable drug response to Mavacamten and significant deficiencies in hiPSC-CMs with disease mutations. CONTRAX empowers researchers with a potent quantitative approach to develop cardiac therapies. Cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs) are powerful in vitro models. Here the authors report CONTRAX, an open-access, versatile, and streamlined pipeline for quantitative tracking of the contractile dynamics of single hiPSC-CMs over time at increased throughput.