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Purpose: Despite advances in screening and awareness, Black and multiracial families continue to experience challenges when seeking an autism diagnosis for their children. Methods: We surveyed 400 Black and multiracial families of young children with autism from an existing research database in the United States about their retrospective diagnostic experiences. We gathered quantitative and qualitative data and engaged in iterative coding to understand timing and content of first concerns, families' experiences of care providers and systems, and the impact of race and culture on accessing care. Results: Families provided examples of early developmental concern and described provider, systemic, and cultural barriers and facilitators to care. Families also provided insight into the influence of culture and made recommendations on how the medical system could better care for Black and multiracial families of children with autism. Conclusions: Results add to a growing body of literature supporting the need for culturally sensitive and accessible care related to developmental monitoring, diagnosis, and follow-up care for Black and multiracial children. [ABSTRACT FROM AUTHOR]

The purpose of this study was to assess the validity of an autism e‐screener, Paisley, when utilized in a clinical research setting via a tablet application. The Paisley application used a series of play‐based activities, all of which incorporated varying aspects of the ASD‐PEDS. Participants included children (18–36 months; n = 198) referred for evaluation of autism spectrum disorder (ASD) and community providers (n = 66) with differing levels of familiarity with ASD. Community providers administered the Paisley application to children who then completed a comprehensive psychological evaluation. Based on comprehensive evaluation, 75% of children met diagnostic criteria for ASD. Paisley scores were significantly higher for children diagnosed with ASD (15.06) versus those not diagnosed (9.34). The newly determined cutoff ASD‐PEDS cutoff score of 13 had significantly higher specificity and positive predictive value than the originally proposed cutoff of 11. Results support the use of Paisley by community providers to identify autism risk in toddlers. Limitations and strengths of the work, as well as opportunities for future clinical validation, are described. Lay Summary: Prior research has shown the importance and significance of early screening of autism spectrum disorder (ASD) for children under the age of three to improve long‐term outcomes. In this paper, we discuss the validity of a tablet‐based autism screener ("Paisley") deployed in a clinical research setting to detect early signs of ASD in children. Each child that was seen through this research study all received a diagnostic evaluation to assess the presence or non‐presence of ASD following their interaction with the provider using the Paisley application. Results showed that the application has been successful at the detection of ASD and that its' users were also satisfied with their experience in and around using it. [ABSTRACT FROM AUTHOR]

Autistic adults possess many skills sought by employers, but may be at a disadvantage in the workplace if social-communication differences negatively impact teamwork. We present a novel collaborative virtual reality (VR)-based activities simulator, called ViRCAS, that allows autistic and neurotypical adults to work together in a shared virtual space, offering the chance to practice teamwork and assess progress. ViRCAS has three main contributions: 1) a new collaborative teamwork skills practice platform; 2) a stakeholder-driven collaborative task set with embedded collaboration strategies; and 3) a framework for multimodal data analysis to assess skills. Our feasibility study with 12 participant pairs showed preliminary acceptance of ViRCAS, a positive impact of the collaborative tasks on supported teamwork skills practice for autistic and neurotypical individuals, and promising potential to quantitatively assess collaboration through multimodal data analysis. The current work paves the way for longitudinal studies that will assess whether the collaborative teamwork skill practice that ViRCAS provides also contributes towards improved task performance. [ABSTRACT FROM AUTHOR]

This randomized controlled trial (NCT03889821) examined Mindfulness Based Stress Reduction (MBSR) in conjunction with the Parent-implemented Early Start Denver Model (P-ESDM). A previous report described improved metrics of parental distress (Weitlauf et al. in Pediatrics 145(Supplement 1):S81–S92, 2020). This manuscript examines child outcomes. 63 children with ASD (< 36 months) and their parents received 12 P-ESDM sessions. Half of parents also received MBSR. Longitudinal examination of whole sample means revealed modest improvements in autism severity, cognitive, and adaptive skills. There was not a significant time × group interaction for children whose parents received MBSR. Future work should examine more proximal markers of child or dyadic change to enhance understanding of the impact of providing direct treatment for parents as part of early intervention initiatives. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has increased the use of telemedicine as an avenue to address the need for diagnostic clarification in young children at risk for autism spectrum disorder (ASD). Although preliminary research has supported the use of telemedicine for identifying ASD in toddlers, little is known about the experiences of practitioners attempting direct-to-home tele-assessment. We surveyed diagnostic providers regarding changes in practice behavior in the initial months of the COVID-19 pandemic and their perceptions of ASD tele-assessment. We also examined the use of the TELE-ASD-PEDS, a novel tool for ASD tele-assessment, in response to COVID-19 at seven sites across the country. Results support the clinical acceptability and diagnostic utility of ASD tele-assessment while also highlighting critical avenues of future investigation. [ABSTRACT FROM AUTHOR]

Barriers to identifying autism spectrum disorder (ASD) in young children in a timely manner have led to calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity for identifying patterns within large clinical datasets that can inform new assessment paradigms. The present study describes an analytic approach used to identify key features predictive of ASD in young children, drawn from large amounts of data from comprehensive diagnostic evaluations. A team of expert clinicians used these predictive features to design a set of assessment activities allowing for observation of these core behaviors. The resulting brief assessment underlies several novel approaches to the identification of ASD that are the focus of ongoing research. [ABSTRACT FROM AUTHOR]

Background: Families of young children with autism spectrum disorder (ASD) frequently experience barriers to accessing evidence-based early intervention services. Telemedicine presents an opportunity to increase access to these services, particularly for families in rural and under-resourced areas. The present article describes a brief behavioral intervention and support model for families of young children with concerns for ASD. In the context of the COVID-19 pandemic, this service model shifted to telemedicine-only service delivery, resulting in an opportunity to analyze intervention outcomes from services delivered either via traditional in-person visits, telemedicine-only sessions, or a hybrid model including both in-person and telemedicine sessions. Methods: Data are presented for 115 families with toddlers 16-33 months of age who participated in a six-session behavioral intervention and support service model either in-person, through telemedicine, or through a hybrid service model. This intervention was available for families referred for ASD evaluation through the state Part C early intervention program. Intervention feasibility, fidelity of implementation, child outcomes, and stakeholder satisfaction are compared across service delivery models. Results: Caregivers, behavioral consultants, and Part C early intervention providers reported satisfaction with services, regardless of service delivery model. Caregivers and consultants also reported positive child outcomes. Statistically significant differences emerged for caregiver- and consultant-reported child outcomes in some domains, with stakeholders in the telemedicine-only group reporting slightly less improvement, compared to stakeholders in the in-person-only group. Caregivers and consultants in the telemedicine-only group also provided qualitative feedback on benefits and challenges related to telemedicine services. Conclusions: Both caregivers and behavioral consultants reported positive outcomes following a brief behavioral intervention and support model targeted at families of young children with concern for ASD. Stakeholders reported improvement in child behavior and satisfaction with services across in-person, telemedicine-only, and hybrid models of service delivery. These results suggest that telemedicine presents a promising opportunity for increasing service access. Additional research is needed to continue optimizing the experience of telemedicine-based service delivery for both families and intervention providers. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has caused unprecedented disruptions to healthcare, including direct impacts on service delivery related to autism spectrum disorder (ASD). Caregiver-mediated tele-assessment offers an opportunity to continue services while adhering to social distancing guidelines. The present study describes a model of tele-assessment for ASD in young children, implemented in direct response to disruptions in care caused by the COVID-19 pandemic. We present preliminary data on the outcomes and provider perceptions of tele-assessments, together with several lessons learned during the period of initial implementation. [ABSTRACT FROM AUTHOR]

Many children with Autism Spectrum Disorder (ASD) exhibit atypical gaze behaviors related to joint attention, a fundamental social-communication skill. Specifically, children with ASD show differences in the skills of gaze sharing and gaze following. In this work we present a novel virtual reality (VR)-based system, called InViRS, in which children with ASD play games allowing them to practice gaze sharing and gaze following. InViRS has three main design contributions: (i) a closed-loop joint attention paradigm with real-time tracking of the participant’s eye gaze and game performance measures, (ii) an assistive feedback mechanism that provides guidance and hints in real time, and (iii) a controller that adaptively changes the avatar’s gaze prompts according to the performance measures. Results from a pilot study to evaluate the feasibility of InViRS with 9 autistic1 children and 9 typically developing (TD) children offered preliminary support for the feasibility of successful gameplay as well as positive impacts on the targeted skills of gaze sharing and gaze following. [ABSTRACT FROM AUTHOR]

Autism Spectrum Disorder (ASD) affects 1 in 54 children in the United States. A core social communication skill negatively impacted by ASD is joint attention (JA), which influences the development of language, cognitive, and social skills from infancy onward. Although several technology-based JA studies have shown potential, they primarily focus on response to joint attention (RJA). The other important component of JA, the initiation of joint attention (IJA), has received less attention from a technology-based intervention perspective. In this work, we present an immersive Computer-mediated Caregiver-Child Interaction (C3I) system to help children with ASD practice IJA skills. C3I is a novel computerized intervention system that integrates a caregiver in the teaching loop, thereby preserving the advantages of both human and computer-administered intervention. A feasibility study with 6 dyads (caregiver-child with ASD) was conducted. A near significant increase with medium effect size on IJA performance was observed. Meanwhile, physiology-based stress analysis showed that C3I did not increase stress of the caregivers over the course of the study. To the best of our knowledge, this is the first autonomous system designed for teaching IJA skills to children with ASD incorporating caregivers within the loop to enhance the potential for generalization in real-world. [ABSTRACT FROM AUTHOR]

Telemedicine tools have potential for increasing access to diagnostic services for children with autism spectrum disorder (ASD). Past work has utilized tele-assessment procedures in which remote psychologists observe administration of interactive screening instruments by trained, on-site providers. Although promising, this approach relies on two clinicians, limiting its efficiency and scalability. The present study examined the use, acceptability, and parents' perceptions of two caregiver-mediated tools for assessing ASD risk in toddlers, in which remote clinicians guided parents to complete interactive screening activities with their children. Most parents found tele-assessment to be comfortable, and many reported liking the parent-led nature of these tools. Parents also offered constructive feedback, which was used to modify the tele-assessment process for future study. [ABSTRACT FROM AUTHOR]

Existing literature regarding social communication outcomes of interventions in autism spectrum disorder (ASD) depends upon human raters, with limited generalizability to real world settings. Technological innovation, particularly virtual reality (VR) and collaborative virtual environments (CVE), could offer a replicable, low cost measurement platform when endowed with intelligent agent technology and peer-based interactions. We developed and piloted a novel collaborative virtual environment and intelligent agent (CRETA) for the assessment of social communication and collaboration within system and peer interactions. The system classified user statements with moderate to high accuracies. We found moderate to high agreement in displayed communication and collaboration skills between human–human and human–agent interactions. CRETA offers a promising avenue for future development of autonomous measurement systems for ASD research. [ABSTRACT FROM AUTHOR]

As prevalence of autism spectrum disorder continues to increase, so too does the need for timely, accessible diagnostic consultation. The present work extends from a previous study which provided preliminary evidence for the feasibility of expert clinicians to utilize telemedicine to triage autism spectrum disorder risk in young children. However, it did not examine whether a telediagnostic model had a demonstrable impact on tertiary care center referrals and usage. We therefore examined whether the introduction of telemedicine-based diagnostic consultation for families served by a rural medical facility affected referrals overall as well as to a metropolitan tertiary care diagnostic center. Results suggest that telemedicine diagnostic consultation in partnership with a referring early intervention system may positively impact referrals for diagnostic evaluation as well as the ability of families to schedule and attend appointments. [ABSTRACT FROM AUTHOR]

Increasing access to diagnostic services is crucial for identifying ASD in young children. We therefore evaluated a telemedicine assessment procedure. First, we compared telediagnostic accuracy to blinded gold-standard evaluations (n = 20). ASD cases identified via telemedicine were confirmed by in-person evaluation. However, 20% of children diagnosed with ASD in-person were not diagnosed via telemedicine. Second, we evaluated telediagnostic feasibility and acceptability in a rural catchment. Children (n = 45) and caregivers completed the telemedicine procedure and provided feedback. Families indicated high levels of satisfaction. Remote diagnostic clinicians diagnosed 62% of children with ASD, but did not feel capable of ruling-in or out ASD in 13% of cases. Findings support preliminary feasibility, accuracy, and clinical utility of telemedicine-based assessment of ASD for young children. [ABSTRACT FROM AUTHOR]

Social communication is among the core areas of impairment for children with Autism Spectrum Disorders (ASD). The training of social orientation is important for improving social communication of children with ASD. In recent years, technology-assisted ASD intervention had gained momentum due to its potential advantages in terms of precision, sustainability, flexibility and cost. In this paper, we propose a closed-loop autonomous computer system, named ASOTS, for training social orientation skills to young children with ASD. This system is designed to detect and track a child’s attention in response to social orientation bids and help the child towards appropriate social orientation when needed. Response to name, an important social orientation skill, was used to demonstrate the functionality of the proposed system. Ten toddlers with ASD participated in a pilot user study to show whether the system could be used on young children who have been diagnosed with ASD. Another pilot user study with 10 TD infants tested whether this system has a potential to be applied for early detection for infants who were younger than the age when ASD diagnoses can be done. This was done intentionally to separately demonstrate utility and functionality for the clinical population of interest and to demonstrate functionality beyond current clinical identification capacity (i.e., infants). The results showed that the proposed system and the protocol were well tolerated by both groups, successfully captured young children’s attention, and elicited the desired behavior. [ABSTRACT FROM AUTHOR]

Autism spectrum disorder (ASD) impacts 1 in 68 children in the U.S., with tremendous individual and societal costs. Technology-aided intervention, more specifically robotic intervention, has gained momentum in recent years due to the inherent affinity of many children with ASD towards technology. In this paper we present a novel robot-mediated intervention system for imitation skill learning, which is considered a core deficit area for children with ASD. The Robot-mediated Imitation Skill Training Architecture (RISTA) is designed in such a manner that it can operate either completely autonomously or in coordination with a human therapist depending on the intervention need. Experimental results are presented from small user studies validating system functionality, assessing user tolerance, and documenting subject performance. Preliminary results show that this novel robotic system draws more attention from the children with ASD and teaches gestures more effectively as compared to a human therapist. While no broad generalized conclusions can be made about the effectiveness of RISTA based on our small user studies, initial results are encouraging and justify further exploration in the future. [ABSTRACT FROM PUBLISHER]

Mothers of children with autism report higher levels of depression than mothers of children with other developmental disabilities. We explored the relations between child characteristics of diagnostic severity and problem behaviors, parenting stress, relationship quality, and depressive symptoms in 70 mothers of young children with autism. We hypothesized that relationship quality and parenting stress would relate to maternal depression beyond contributions of child characteristics. Multiple regression analysis revealed a main effect of parenting stress above and beyond child problem behaviors and autism severity. A significant interaction emerged, with relationship quality buffering the effect of parenting stress on depression. Results suggest that the relation between child problem behaviors and maternal depression should be considered in conjunction with other measures of marriage and family stress. Relationship quality and parenting stress may also represent important factors to be explicitly considered within intervention paradigms for young children with autism spectrum disorders. [ABSTRACT FROM PUBLISHER]

Youths with high (N = 52) or low cognitive vulnerability (N = 48) for depression were selected from a larger sample (N = 515) of students (7-10 years old), based on their attributional style (AS), negative cognitions (NC), and/or self-competence (SC). Long-term effects of cognitive vulnerabilities on depressive symptoms were examined in a 3-year, three-wave, multi-informant, longitudinal design. Three findings emerged. First, some empirical overlap exists among these three types of cognitive diatheses, especially between NC and SC. Second, the combination of AS, NC, and SC had a significant (but diminishing) relationship to depressive symptoms at 6, 18, and 30 months, primarily due to NC and SC, not AS. Third, interactions between cognitive risk and life events were not significant, suggesting an additive type of diathesis-stress model for depression in young adolescents. [ABSTRACT FROM AUTHOR]

In a school-based, four-wave, longitudinal study, children (grades 4–7) and young adolescents (grades 6–9) completed questionnaires measuring depressive symptoms and depressive cognitions, including positive and negative cognitions on the Cognitive Triad Inventory for Children (CTI-C; Kaslow, Stark, Printz, Livingston, & Tsai, 1992) and self-perceived competence on the Self-Perception Profile for Children (SPPC; Harter, 1985). Application of the Trait-State-Occasion model (Cole, Martin, & Steiger, 2005) revealed the existence of a time-invariant trait factor and a set of time-varying occasion factors. Gender differences emerged, indicating that some cognitive diatheses were more trait-like for girls than for boys (i.e., positive and negative cognitions on the CTI-C; self-perceived physical appearance and global self-worth on the SPPC). Implications focus on the emergent gender difference in depression, the design of longitudinal studies, and clinical decisions about the implementation of prevention versus intervention programs. © 2009 Wiley Periodicals, Inc. J Clin Psychol 65:1–15, 2009. [ABSTRACT FROM AUTHOR]

Autism Spectrum Disorder (ASD) impacts 1 in 54 children in the US. Two-thirds of children with ASD display problem behavior. If a caregiver can predict that a child is likely to engage in problem behavior, they may be able to take action to minimize that risk. Although experts in Applied Behavior Analysis can offer caregivers recognition and remediation strategies, there are limitations to the extent to which human prediction of problem behavior is possible without the assistance of technology. In this paper, we propose a machine learning-based predictive framework, PreMAC, that uses multimodal signals from precursors of problem behaviors to alert caregivers of impending problem behavior for children with ASD. A multimodal data capture platform, M2P3, was designed to collect multimodal training data for PreMAC. The development of PreMAC integrated a rapid functional analysis, the interview-informed synthesized contingency analysis (IISCA), for collection of training data. A feasibility study with seven 4 to 15-year-old children with ASD was conducted to investigate the tolerability and feasibility of the M2P3 platform and the accuracy of PreMAC. Results indicate that the M2P3 platform was well tolerated by the children and PreMAC could predict precursors of problem behaviors with high prediction accuracies. [ABSTRACT FROM AUTHOR]