Predicting Outcome of Community-Based Early Intensive Behavioral Intervention for Children with Autism

Screening accuracy and cut-offs of the Polish version of Communication and Symbolic Behavior Scales-Developmental Profile Infant-Toddler Checklist

BACKGROUND

The first stage of diagnosing autism spectrum disorders usually involves population screening to detect children at risk. This study aims to assess the predictive convergent validity of the Polish version of the Communication and Symbolic Behavior Scales-Developmental Profile Infant-Toddler Checklist (CSBS-DP ITC) with the Autism Spectrum Rating Scales (ASRS), evaluate its sensitivity and specificity and assess the cut-off points for the possibility of using this questionnaire in population screening among children aged 6 to 24 months.

METHOD

The study was conducted among 602 children from the general population who had previously participated in the earlier phase of validation of the questionnaire for Polish conditions. The collected data were statistically processed to calculate the accuracy (i.e. sensitivity, specificity) of the questionnaire.

RESULTS

In individual age groups, the sensitivity of the questionnaire varies from 0.667 to 0.750, specificity from 0.854 to 0.939, positive predictive value from 0.261 to 0.4 and negative predictive value-from 0.979 to 0.981. Screening accuracy ranges from 0.847 to 0.923 depending on the age group. The adopted cut-off points are 21 points for children aged 9-12 months, 36 for children aged 13-18 months, 39 for children aged 19-24 months. Cut-off points could not be established for children aged 6-8 months. The convergent validity values with the ASRS ranged from -0.28 to -0.431 and were highest in the group of the oldest children.

CONCLUSIONS

These results indicate that the Polish version of the CSBS-DP ITC can be used as an effective tool for ASD universal screening.

Predictors of Developmental and Adaptive Behaviour Outcomes in Response to Early Intensive Behavioural Intervention and the Early Start Denver Model

Many autistic children require support to meet their learning needs. Given the heterogeneity within the autism spectrum it is plausible that different types of support might be better suited to different children. However, knowledge on what interventions work best for which children is limited. We examined the outcomes of autistic preschool-aged children receiving one of two community early intervention approaches. Our main objective was to understand which baseline child characteristics might be associated with the degree of individual response to intervention-whether prognostically (i.e., irrespective of intervention received) or predictively (i.e., specifically in the context of one or other EI approach). Participants comprised two matched groups of preschool-aged autistic children receiving either Group-based Early Start Denver Model (G-ESDM; n = 42) delivered in a 1:3-4 staff:child ratio or an Early Intensive Behavioural Intervention (EIBI; n = 40) delivered in combination of 1:1 and 1:2 staff:child ratio. Over an approximate one-year follow-up period, children in both groups made significant gains in Developmental Quotient (DQ) scores, and trend-level gains in adaptive behaviour composite scores. Higher attention to a playful adult measured via an eye-tracking task was prognostically indicative of better verbal DQ and adaptive behaviour outcomes for the cohort overall. Moderation analyses indicated a single predictive effect-of pre-program sustained attention for subsequent NVDQ outcomes specific to those children receiving G-ESDM. These findings suggest that fine-grained measures of learning skills offer promise towards the selection and tailoring of intervention approaches to meet individual children's learning needs.

Implementing an Early Detection Program for Autism Spectrum Disorders in the Polish Primary Healthcare Setting-Possible Obstacles and Experiences from Online ASD Screening

A screening questionnaire for autism symptoms is not yet available in Poland, and there are no recommendations regarding screening for developmental disorders in Polish primary healthcare. The aim of this study was to assess the opinions of parents and physicians on the legitimacy and necessity of screening for autism spectrum disorders, potential barriers to the implementation of the screening program, and the evaluation and presentation of the process of online ASD screening, which was part of the validation program for the Polish version of one of the screening tools. This study involved 418 parents whose children were screened online and 95 primary care physicians who expressed their opinions in prepared surveys. The results indicate that both parents and doctors perceive the need to screen children for ASD in the general population without a clear preference as to the screening method (online or in person). Moreover, online screening is considered by respondents as a satisfactory diagnostic method. Therefore, online screening may prove to be at least a partial method of solving numerous obstacles indicated by participants' systemic difficulties including time constraints, the lack of experienced specialists in the field of developmental disorders and organizational difficulties of healthcare systems.

Brief Report: Machine Learning for Estimating Prognosis of Children with Autism Receiving Early Behavioral Intervention-A Proof of Concept

Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment prognosis on two outcomes (i.e., adaptive functioning and autistic symptoms) in children with autism receiving early behavioral intervention in a community setting. Each machine learning algorithm produced better predictions than random sampling on both outcomes. Those results indicate that machine learning is a promising approach to estimating prognosis in children with autism, but studies comparing these predictions with those produced by qualified practitioners remain necessary.

Individualized Parent-Mediated Behavioral Treatment for Challenging Behavior: A Program Description

Past research suggests behavioral treatments are effective for challenging behavior in children and young adults with neurodevelopmental disorders, such as autism spectrum disorder (ASD). However, access to these services can be limited and require substantial resources. To address this issue, the current study provides a programmatic description of an individualized parent-mediated service model targeting moderate challenging behavior. In the program, therapists coached parents to implement functional analyses and individualized function-based treatment packages. Forty-one families of children and young adults with neurodevelopmental disorders participated. Most clients (75.6%) met all admission treatment goals and parents reported significant decreases in frequency and severity of challenging behaviors at discharge. Parents also reported less stress at discharge. Outcomes of the study suggest this parent-mediated treatment model is a viable option to treating moderate challenging behavior in children and young adults with intellectual and developmental disorders.

A Comparison Controlled Study Examining Outcome for Children With Autism Receiving Intensive Behavioral Intervention (IBI)

This study evaluated the effects of a center-based Intensive Behavioral Intervention (IBI) model for preschool aged children with autism. Outcomes of 25 children receiving IBI was compared to the outcomes of 14 children receiving autism specific, eclectic, special education. Both provisions were described as appropriate treatment options by the professional agency who diagnosed the children, and the decision of where to enroll the child was made by the parents after consultations with the specialists. After 14 months of treatment, children from the IBI group improved significantly on standard scores in intellectual functioning and adaptive behavior and had a significant reduction in autism severity compared to the children in the autism specific, eclectic, special education group. Results suggest that preschool aged children with autism may make large gains in intellectual and adaptive functioning and improvement in autism severity with IBI, and that effects of IBI may be similar to that of EIBI. These findings must be interpreted with caution due to the limitations inherent in the present comparison-controlled design.

The earlier the better: An RCT of treatment timing effects for toddlers on the autism spectrum

LAY ABSTRACT

Behavioral interventions that incorporate naturalistic, developmental strategies have been shown to improve outcomes for young children who receive an autism spectrum disorder (ASD) diagnosis. Although there is broad consensus that children on the spectrum should begin supports as soon as possible, the empirical evidence for this is relatively limited and little is known about the optimal age to start autism-specific interventions. Our team conducted a randomized controlled trial (RCT) to test the effects of starting intervention at different ages, using the Early Social Interaction (ESI) model, a parent-implemented intervention for toddlers on the spectrum. Participants included 82 autistic toddlers and their caregiver(s) who received 9 months of Individual-ESI and 9 months of Group-ESI, with the timing/order of these two treatment conditions randomized. Thus, families received the more intensive and individualized Individual-ESI at either 18 or 27 months of age. Results revealed that children who received Individual-ESI earlier showed greater treatment gains than those who received this intervention later. Gains were demonstrated in several areas, which included the use and understanding of language, social use of communication skills, and self-help skills. Importantly, these findings were specific to the intensive and individualized parent coaching model compared to group-based treatment, allowing us to rule out the possibility that these timing effects were due to children getting older rather than the treatment itself. Our results suggest that even a narrow window of 18 versus 27 months may have an impact on outcomes and underscore the importance of screening and evaluation as young as possible.

Changes in Autistic Symptoms and Adaptive Functioning of Children Receiving Early Behavioral Intervention in a Community Setting: A Latent Growth Curve Analysis

Despite showing effects in well-controlled studies, the extent to which early intensive behavioral intervention (EBI) produces positive changes in community-based settings remains uncertain. Thus, our study examined changes in autistic symptoms and adaptive functioning in 233 children with autism receiving EBI in a community setting. The results revealed nonlinear changes in adaptive functioning characterized by significant improvements during the intervention and a small linear decrease in autistic symptoms from baseline to follow-up. The intensity of intervention, initial age, IQ and autistic symptoms were associated either with progress during the intervention or maintenance during the follow-up. The next step to extend this line of research involves collecting detailed data about intervention strategies and implementation fidelity to produce concrete recommendations for practitioners.

Micro-Analyses Reveal Increased Parent-Child Positive Affect in Children with Poorer Adaptive Functioning Receiving the ESDM

Synchronous positive affect (SPA) is a key element of parent-child interaction quality which is related to favorable developmental outcomes. Children with autism spectrum disorder (ASD) and their parents tend to show less SPA compared to other populations. The current study explored changes in SPA made by parents and their children with ASD following the Preschool-Based Early Start Denver Model (PB-ESDM) intervention. Thirty children receiving PB-ESDM and 23 receiving treatment-as-usual (TAU) were assessed pre- and post- intervention using microanalysis of video-recorded parent-child interactions, in which SPA was quantified. Results showed a significant increase in SPA among children receiving PB-ESDM who had lower pre-treatment adaptive functioning. These findings suggest that SPA may serve as a sensitive treatment outcome measure for children with poorer adaptive functioning, who often struggle to show significant changes on standardized measures. The study's modest sample and non-randomized design are noted as limitations.

Tools for early screening of autism spectrum disorders in primary health care – a scoping review

Background

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that manifests itself in early childhood. Early diagnosis of these disorders allows for the initiation of early therapy, which is crucial for the child's further functioning in society.

Objectives

This review aims to gather and present the existing ASD screening tools that can be used in primary care and adapted to different countries conditions linguistically and culturally.

Eligibility criteria

We searched for English-language publications on ASD screening tools for children aged 0–3 years suitable for use in primary care (i.e. free, requiring no additional training or qualifications).

Sources of evidence

Four databases were explored to find English studies on ASD screening tools intended for the rapid assessment of children aged 0–3.

Charting methods

The information sought (specific features of the questionnaires relevant to primary health care workers, psychometric and diagnostic values of a given cultural adaptation of screening tools, and the linguistic and cultural changes made) were extracted and collected to create profiles of these tools.

Results

We found 81 studies which met inclusion criteria and underwent full data extraction. Three additional data sources were included. These allowed to create 75 profiles of adaptations for 26 different screening tools and collect data on their psychometric values and characteristic features.

Conclusions

The results of our study indicate the availability of several diagnostic tools for early ASD screening in primary care setting concordant culturally and linguistically with a given population. They could be an effective method of accelerating the diagnostic process and starting personalized therapy faster. However, most tools have significant limitations – some are only available for research purposes, while others do not have scientific evidence to prove their effectiveness.

Differential Predictors of Response to Early Start Denver Model vs. Early Intensive Behavioral Intervention in Young Children with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis

The effectiveness of early intensive interventions for Autism Spectrum Disorder (ASD) is now well-established, but there continues to be great interindividual variability in treatment response. The purpose of this systematic review is to identify putative predictors of response to two different approaches in behavioral treatment: Early Intensive Behavioral Interventions (EIBI) and the Early Start Denver Model (ESDM). Both are based upon the foundations of Applied Behavioral Analysis (ABA), but the former is more structured and therapist-driven, while the latter is more naturalistic and child-driven. Four databases (EmBase, PubMed, Scopus and WebOfScience) were systematically screened, and an additional search was conducted in the reference lists of relevant articles. Studies were selected if participants were children with ASD aged 12-48 months at intake, receiving either EIBI or ESDM treatment. For each putative predictor, p-values from different studies were combined using Fisher's method. Thirteen studies reporting on EIBI and eleven on ESDM met the inclusion criteria. A higher IQ at intake represents the strongest predictor of positive response to EIBI, while a set of social cognitive skills, including intention to communicate, receptive and expressive language, and attention to faces, most consistently predict response to ESDM. Although more research will be necessary to reach definitive conclusions, these findings begin to shed some light on patient characteristics that are predictive of preferential response to EIBI and ESDM, and may provide clinically useful information to begin personalizing treatment.

What does it mean for an autism intervention to be evidence-based?

Although there is consensus in the field that individuals on the autism spectrum should receive interventions that are evidence-based, the concept of "evidence-based" is multifaceted and subject to ongoing development and debate. In this commentary, we review historical developments, methodological approaches, as well as areas of controversies and research directions in the establishment of an evidence base for autism intervention. LAY SUMMARY: What does it mean for an autism intervention to be evidence-based? In this commentary, we address this complex issue by examining historical developments, methodological approaches, as well as areas of ongoing debate in the establishment of evidence-based interventions for autism.

ECHO Autism: Early Intervention Connecting Community Professionals to Increase Access to Best Practice Autism Intervention

Autism spectrum disorder (ASD) is estimated to affect 1 in 44 children in the United States. Disparities exist related to socioeconomic, racial/ethnic and geographic demographics. Due to the shortages of autism specialists in diagnosis, treatment and education for people with ASD, novel approaches to improve access to best practices are needed to ensure quality services. ECHO Autism: Early Intervention clinic consists of biweekly sessions focused on early identification and management of evidence-based practices for young children with ASD. It is an adaptation of the ECHO Autism clinic that has been proven effective for primary care providers. The clinic provides a safe, virtual learning environment where diverse professionals who work with children at risk or diagnosed with ASD can collaborate and learn together. ECHO Autism: Early Intervention bridges the care gap between autism specialists, community intervention providers, and children with autism to increase capacity for autism intervention best practices in underserved communities. Through participation in this convenient, web-based small group, the providers get specific case guidance on children at risk or diagnosed with autism and share best practices for autism specific interventions. Finally, the clinic connects participants with community resources, and family/caregiver support. In our article, we address the current challenge of access to quality early intervention specific to ASD in rural and underserved communities and how this issue can be addressed through a virtual ECHO Autism clinic. The aim of this concept article is to describe the innovative ECHO Autism: Early Intervention clinic and discuss its benefits and impact in the field.

Examining Predictors of Different ABA Treatments: A Systematic Review

In the recent literature, there is a broad consensus on the effectiveness of Applied Behavior Analysis interventions for autism spectrum disorder (ASD). Despite their proven efficacy, research in clinical settings shows that these treatments are not equally effective for all children and the issue of which intervention should be chosen for an individual remains a common dilemma. The current work systematically reviewed studies on predictors and moderators of response to different types of evidence-based treatment for children with ASD. Specifically, our goal was to critically review the relationships between pre-treatment child characteristics and specific treatment outcomes, covering different aspects of functioning (i.e., social, communicative, adaptive, cognitive, motor, global functioning, play, and symptom severity). Our results questioned the binomial “better functioning-better outcome”, emphasizing the complex interplay between pre-treatment child characteristics and treatment outcomes. However, some pre-treatment variables seem to act as prerequisites for a specific treatment, and the issue of “what works for whom and why” remains challenging. Future research should focus on the definition of evidence-based decision-making models that capture those individual factors through which a specific intervention will exert its effects.

Super responders: Predicting language gains from JASPER among limited language children with autism spectrum disorder

Early intervention can provide a great benefit for children with autism spectrum disorder (ASD). However, no single intervention is effective for all children. Even when an intervention is effective overall, individual child response varies. Some children make incredible progress, and others make slow or no progress. Therefore, it is important that the field move towards developing methods to personalize intervention. Operationalizing meaningful change and predicting intervention response are critical steps in designing systematic and personalized early intervention. The present research used improvement in expressive language to group children that received a targeted social communication early intervention, Joint Attention, Symbolic Play, Engagement, and Regulation (JASPER), into super responders and slow responders. Using baseline data from traditional standardized assessments of cognition and behavioral data from validated experimental measures of play and social communication, we used conditional inference tree models to predict responder status. From a sample of 99 preschool age, limited language children with ASD, play diversity was the most significant predictor of responder status. Children that played functionally with a wider variety of toys had increased odds of being a super responder to JASPER. A combination of lower play diversity and impairments in fine motor abilities increased the odds of children being slow responders to JASPER. Results from the present study can inform future efforts to individualize intervention and systematic approaches to augmenting treatment in real time. LAY SUMMARY: To help us answer the question of for whom an intervention works best, we examined 99 children, age three to five, who qualified as being limited spoken language communicators, and received a targeted intervention for social communication and language. We used child characteristics before intervention to predict which children would improve their language the most and found that the ability to play appropriately with a wider variety of toys predicted the best improvements in expressive language. These findings will help better inform future work to individualize intervention based on the unique needs of each child.

Chronic sodium bromide treatment relieves autistic-like behavioral deficits in three mouse models of autism

Autism Spectrum Disorders (ASD) are neurodevelopmental disorders whose diagnosis relies on deficient social interaction and communication together with repetitive behavior. To date, no pharmacological treatment has been approved that ameliorates social behavior in patients with ASD. Based on the excitation/inhibition imbalance theory of autism, we hypothesized that bromide ions, long used as an antiepileptic medication, could relieve core symptoms of ASD. We evaluated the effects of chronic sodium bromide (NaBr) administration on autistic-like symptoms in three genetic mouse models of autism: Oprm1^-/-, Fmr1^-/- and Shank3^Δex13-16-/- mice. We showed that chronic NaBr treatment relieved autistic-like behaviors in these three models. In Oprm1^-/- mice, these beneficial effects were superior to those of chronic bumetanide administration. At transcriptional level, chronic NaBr in Oprm1 null mice was associated with increased expression of genes coding for chloride ions transporters, GABA_A receptor subunits, oxytocin and mGlu4 receptor. Lastly, we uncovered synergistic alleviating effects of chronic NaBr and a positive allosteric modulator (PAM) of mGlu4 receptor on autistic-like behavior in Oprm1^-/- mice. We evidenced in heterologous cells that bromide ions behave as PAMs of mGlu4, providing a molecular mechanism for such synergy. Our data reveal the therapeutic potential of bromide ions, alone or in combination with a PAM of mGlu4 receptor, for the treatment of ASDs.

Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder

Autism spectrum disorder (ASD) can be reliably diagnosed at 18 months, yet significant diagnostic delays persist in the United States. This double-blinded, multi-site, prospective, active comparator cohort study tested the accuracy of an artificial intelligence-based Software as a Medical Device designed to aid primary care healthcare providers (HCPs) in diagnosing ASD. The Device combines behavioral features from three distinct inputs (a caregiver questionnaire, analysis of two short home videos, and an HCP questionnaire) in a gradient boosted decision tree machine learning algorithm to produce either an ASD positive, ASD negative, or indeterminate output. This study compared Device outputs to diagnostic agreement by two or more independent specialists in a cohort of 18-72-month-olds with developmental delay concerns (425 study completers, 36% female, 29% ASD prevalence). Device output PPV for all study completers was 80.8% (95% confidence intervals (CI), 70.3%-88.8%) and NPV was 98.3% (90.6%-100%). For the 31.8% of participants who received a determinate output (ASD positive or negative) Device sensitivity was 98.4% (91.6%-100%) and specificity was 78.9% (67.6%-87.7%). The Device's indeterminate output acts as a risk control measure when inputs are insufficiently granular to make a determinate recommendation with confidence. If this risk control measure were removed, the sensitivity for all study completers would fall to 51.6% (63/122) (95% CI 42.4%, 60.8%), and specificity would fall to 18.5% (56/303) (95% CI 14.3%, 23.3%). Among participants for whom the Device abstained from providing a result, specialists identified that 91% had one or more complex neurodevelopmental disorders. No significant differences in Device performance were found across participants' sex, race/ethnicity, income, or education level. For nearly a third of this primary care sample, the Device enabled timely diagnostic evaluation with a high degree of accuracy. The Device shows promise to significantly increase the number of children able to be diagnosed with ASD in a primary care setting, potentially facilitating earlier intervention and more efficient use of specialist resources.

Feasibility and impact of integrating an artificial intelligence-based autism spectrum disorder diagnosis aid into the primary care ECHO Autism STAT Model: protocol for a prospective observational study (Preprint)

Background

The Extension for Community Health Outcomes (ECHO) Autism Program trains clinicians to screen, diagnose, and care for children with autism spectrum disorder (ASD) in primary care settings. This study will assess the feasibility and impact of integrating an artificial intelligence (AI)–based ASD diagnosis aid (the device) into the existing ECHO Autism Screening Tool for Autism in Toddlers and Young Children (STAT) diagnosis model. The prescription-only Software as a Medical Device, designed for use in children aged 18 to 72 months at risk for developmental delay, produces ASD diagnostic recommendations after analyzing behavioral features from 3 distinct inputs: a caregiver questionnaire, 2 short home videos analyzed by trained video analysts, and a health care provider questionnaire. The device is not a stand-alone diagnostic and should be used in conjunction with clinical judgment.

Objective

This study aims to assess the feasibility and impact of integrating an AI-based ASD diagnosis aid into the ECHO Autism STAT diagnosis model. The time from initial ECHO Autism clinician concern to ASD diagnosis is the primary end point. Secondary end points include the time from initial caregiver concern to ASD diagnosis, time from diagnosis to treatment initiation, and clinician and caregiver experience of device use as part of the ASD diagnostic journey.

Methods

Research participants for this prospective observational study will be patients suspected of having ASD (aged 18-72 months) and their caregivers and up to 15 trained ECHO Autism clinicians recruited by the ECHO Autism Communities research team from across rural and suburban areas of the United States. Clinicians will provide routine clinical care and conduct best practice ECHO Autism diagnostic evaluations in addition to prescribing the device. Outcome data will be collected via a combination of electronic questionnaires, reviews of standard clinical care records, and analysis of device outputs. The expected study duration is no more than 12 months. The study was approved by the institutional review board of the University of Missouri-Columbia (institutional review board–assigned project number 2075722).

Results

Participant recruitment began in April 2022. As of June 2022, a total of 41 participants have been enrolled.

Conclusions

This prospective observational study will be the first to evaluate the use of a novel AI-based ASD diagnosis aid as part of a real-world primary care diagnostic pathway. If device integration into primary care proves feasible and efficacious, prolonged delays between the first ASD concern and eventual diagnosis may be reduced. Streamlining primary care ASD diagnosis could potentially reduce the strain on specialty services and allow a greater proportion of children to commence early intervention during a critical neurodevelopmental window.

Trial Registration

ClinicalTrials.gov NCT05223374; https://clinicaltrials.gov/ct2/show/NCT05223374

International Registered Report Identifier (IRRID)

PRR1-10.2196/37576

Pre-treatment clinical and gene expression patterns predict developmental change in early intervention in autism

Early detection and intervention are believed to be key to facilitating better outcomes in children with autism, yet the impact of age at treatment start on the outcome is poorly understood. While clinical traits such as language ability have been shown to predict treatment outcome, whether or not and how information at the genomic level can predict treatment outcome is unknown. Leveraging a cohort of toddlers with autism who all received the same standardized intervention at a very young age and provided a blood sample, here we find that very early treatment engagement (i.e., <24 months) leads to greater gains while controlling for time in treatment. Pre-treatment clinical behavioral measures predict 21% of the variance in the rate of skill growth during early intervention. Pre-treatment blood leukocyte gene expression patterns also predict the rate of skill growth, accounting for 13% of the variance in treatment slopes. Results indicated that 295 genes can be prioritized as driving this effect. These treatment-relevant genes highly interact at the protein level, are enriched for differentially histone acetylated genes in autism postmortem cortical tissue, and are normatively highly expressed in a variety of subcortical and cortical areas important for social communication and language development. This work suggests that pre-treatment biological and clinical behavioral characteristics are important for predicting developmental change in the context of early intervention and that individualized pre-treatment biology related to histone acetylation may be key.

Analysis of a Statewide Early Intervention Program for Young Children with ASD

We evaluated the effectiveness of a statewide Medicaid program providing in-home Early Intensive Behavioral Intervention services to young children with Autism Spectrum Disorder living in a rural southern state. Program effectiveness was assessed via the Assessment of Basic Language and Learning Skills-Revised (ABLLS-R). A multi-level growth model was used to show significant variation among children's initial ABLLS-R scores and their growth trajectories. Hispanic children tended to have lower initial scores but demonstrated similar growth compared to their non-Hispanic peers. Children who were older at initial start in the program appeared to have higher initial composite scores and higher growth trajectories. Children in more populous counties had higher initial scores but grew at similar rates to children in more rural counties.

Predicting Autism in Infancy

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social communication and interaction deficits and restricted, repetitive patterns of interests and behavior that are evident in early childhood. Its prevalence has grown substantially over the past several decades, with current estimates ranging from 1.7% to 2.5% in the United States.^1,2 This represents more than 1.5 million children with ASD, the vast majority of whom receive or will receive specialized services.² Each year, approximately 100,000 (and growing) individuals with ASD reach adulthood, and many face myriad challenges related to employment, housing, mental health, and overburdened or insufficient support services.^3-5 A host of significant costs can be associated with ASD, from direct costs related to the provision of special education programs, housing, and medical care to indirect costs, such as loss of productivity affecting both individuals with ASD and their families.⁶ Currently, overall lifetime cost of care per person with ASD can exceed $3 million, totaling more than $265 billion annually in the United States and rising to an estimated $1 trillion by 2025.^7,8.

A Multisite Randomized Controlled Trial Comparing the Effects of Intervention Intensity and Intervention Style on Outcomes for Young Children With Autism

OBJECTIVE

This randomized, multisite, intent-to-treat study tested the effects of 2 levels of treatment intensity (number of hours) and 2 treatment styles on the progress of young children with autism spectrum disorder (ASD). We predicted that initial severity of developmental delay or autism symptoms would moderate the effects of intensity and style on progress in 4 domains: autism symptom severity, expressive communication, receptive language, and nonverbal ability.

METHOD

A total of 87 children with ASD, mean age 23.4 months, were assigned to 1 of 2 intervention styles (naturalistic developmental/behavioral or discrete trial teaching), each delivered for either 15 or 25 hours per week of 1:1 intervention for 12 months by trained research staff. All caregivers received coaching twice monthly. Children were assessed at 4 timepoints. Examiners and coders were naive to treatment assignment.

RESULTS

Neither style nor intensity had main effects on the 4 outcome variables. In terms of moderating the effects of initial severity of developmental delay and of autism symptom severity, neither moderated the effects of treatment style on progress in any of the 4 domains. In terms of treatment intensity, initial severity moderated effect of treatment intensity on only 1 domain, namely, change in autism symptom severity; in a secondary analysis, this effect was found in only 1 site.

CONCLUSION

Neither treatment style nor intensity had overall effects on child outcomes in the 4 domains examined. Initial severity did not predict better response to 1 intervention style than to another. We found very limited evidence that initial severity predicted better response to 25 vs 15 hours per week of intervention in the domains studied.

CLINICAL TRIAL REGISTRATION INFORMATION

Intervention Effects of Intensity and Delivery Style for Toddlers With Autism: https://clinicaltrials.gov/; NCT02272192.

Connecting the Dots: a cluster-randomized clinical trial integrating standardized autism spectrum disorders screening, high-quality treatment, and long-term outcomes

BACKGROUND

Autism spectrum disorder (ASD) affects one in 54 children in the United States of America, and supporting people with ASD across the lifespan presents challenges that impact individuals, families, and communities and can be quite costly. The American Academy of Pediatrics has issued recommendations for routine ASD screening at 18 and 24 months, but some research suggests that few pediatricians perform high-fidelity, standardized screening universally. Furthermore, the United States Preventive Services Task Force (USPSTF) found insufficient evidence to recommend for or against universal ASD screening. The objective of this study is to test the hypothesis that children with ASD who have high fidelity; standardized screening will achieve superior outcomes at 5 years of age compared to children receiving usual care ASD detection strategies.

METHODS

This is a cluster-randomized, controlled clinical trial in 3 sites in the USA. Pediatric practices will be randomized to implement universal, standardized, high-fidelity toddler screening or usual care, with randomization stratified by the practice size. The study will enroll 3450 children, approximately half in each group. From this sample, we anticipate 100 children to be diagnosed with ASD. Children in both groups receiving an ASD diagnosis will be administered the Early Start Denver Model, an evidence-based early intervention addressing social, communication, and cognitive functioning. Treatment will last for 1 year, with up to 20 h per week of therapy for children with ASD.

RESULTS

Primary outcomes measured at baseline, following treatment, and at 4 and 5 years of age include ASD symptom severity (Brief Observation of Social Communication Change (BOSCC)) and cognitive functioning (Mullen Scales of Early Learning (MSEL) and Differential Abilities Scale-II (DAS-II)). Secondary outcomes in children include measures of adaptive functioning, ASD symptoms, and kindergarten readiness; secondary analyses will also examine stress and empowerment among parents. Several novel exploratory measures will be included as well. The study will utilize a modified intention-to-treat analysis.

CONCLUSIONS

This trial will evaluate the impact of universal, standardized, high-fidelity screening for ASD among children at 18 months of age, with a goal of providing evidence to support this strategy to detect ASD in toddlers in order to start treatment as young as possible and maximize outcomes.

ETHICS AND DISSEMINATION

This study was approved by the Institutional Review Board at Drexel University (IRB protocol: 1607004653). All findings will be provided by the principal investigator via email; data will be available through the NIMH Data Archive ( https://nda.nih.gov/ ).

TRIAL REGISTRATION

ClinicalTrials.gov NCT03333629 . Registered on November 7, 2017.

Factors influencing access to early intervention for families of children with developmental disabilities: A narrative review

BACKGROUND

Early intervention (EI) can improve a range of outcomes for families of children with developmental disabilities. However, research indicates the level of access does not always match the level of need. To address disparities, it is essential to identify factors influencing access.

METHOD

We propose a framework where access to EI is conceptualised as a process that includes three main phases. A narrative review examined potential barriers, facilitators and modifiers of access for each phase.

RESULTS

The process of access to EI includes the following: 1) recognition of need, 2) identification or diagnosis and 3) EI provision or receipt. Several factors affecting access to EI for each phase were identified, related to the family, services, the intersection between family and services, and the context.

CONCLUSION

A broad range of factors appear to influence the process of access to EI for this population. Our framework can be used in future research investigating access. Broad implications for policy, practice and future research to improve access to EI are discussed.

A Longitudinal Study of Language Trajectories and Treatment Outcomes of Early Intensive Behavioral Intervention for Autism

The present study examined language trajectories and placement outcomes for children with autism spectrum disorder (ASD) receiving early intensive behavioral intervention (EIBI). Language measures were collected at baseline and 6, 12, 18, 24, and 36 months or until exit from EIBI in 131 children with ASD. Growth models estimated overall and subgroup language trajectories. Overall, children receiving EIBI showed substantial increases in language relative to normative expectations. Earlier age at EIBI start, higher baseline cognitive function, and lower baseline ASD severity predicted better language trajectories. Although there was significant variability in language trajectories and educational outcomes, most children showed significant increases in language scores, relative to normative expectations. Additional research, in more representative samples, is needed to understand this variability.

Policy and Practice Barriers to Early Identification of Autism Spectrum Disorder in the California Early Intervention System

Autism spectrum disorder can be reliably diagnosed prior to age 2, and early, intensive intervention has been found to improve long-term outcomes. Nonetheless, most children with ASD do not receive a diagnosis until after age 3, with even later diagnoses for children from non-white ethnic groups. This study conducted telephone surveys with California Part C early intervention managers regarding policies and practices for early identification and intervention for ASD. Findings indicated that 85% of agencies conduct screening for ASD, but only 39% conduct ASD diagnostic assessments prior to age 3. Recommendations for policy changes to align Part C practices with best practice guidelines are provided.

Cognitive, Language, and Behavioral Outcomes in Children With Autism Spectrum Disorders Exposed to Early Comprehensive Treatment Models: A Meta-Analysis and Meta-Regression

Background: Early comprehensive treatment models (CTMs) have been developed as effective treatments for children with autism spectrum disorder (ASD). Numerous studies have suggested that CTMs can improve short-term outcomes, but little is known about precise outcome information in childhood. The current meta-analysis reviewed studies reporting broader outcomes in children with ASD who had ever participated in a CTM and examined the predictors of developmental gains. Methods: We searched eight databases up to June 13, 2019, for relevant trials and natural experiments. Longitudinal studies were selected if they investigated the outcomes of CTMs. Two meta-analyses were undertaken to provide a summary estimate of change in treatment outcomes and to evaluate the effect of CTMs; one used the standardized mean change between the pretest and posttest, and the other was a classical meta-analysis. Stratified and random-effects meta-regression analyses were performed to search for outcome differences among studies. Results: Eighteen intervention studies (involving 495 children with ASD) met all the inclusion criteria: 12 used early intensive behavioral intervention (EIBI), and two used the Early Start Denver Model (ESDM). Outcomes were categorized into three parts: cognitive, language and behavioral (e.g., adaptive functioning and symptomatology). Overall, most children with ASD who had ever participated in an early CTM made gains in many areas of functioning, especially in terms of symptom- and language-related outcomes. Stratified analyses indicated that the ESDM displayed the largest effect on IQ improvement (ES = 1.37, 95% CI: 0.95 to 1.80), while EIBI was more effective for symptom reduction (ES = -1.27, 95% CI: -1.96 to -0.58). Further, meta-regression suggested that interventions with parent involvement, higher intensity, and longer treatment hours yielded greater improvements in IQ and social adaptive functioning, respectively. Conclusion: The results demonstrate a positive association between CTMs and better prognosis in childhood, especially regarding symptoms, and language. However, most extant research involves small, non-randomized studies, preventing definitive conclusions from being drawn. Clearly, the outcomes of children with ASD are still far from normal, especially with respect to adaptive functioning, and the four mediating variables pertaining to treatment elements can affect their gains, including approach, implementer, intensity, and total treatment hours. Systematic Review Registration: [www.crd.york.ac.uk/PROSPERO], identifier [CRD42019146859].

One-Year Follow-Up Diagnostic Stability of Autism Spectrum Disorder Diagnosis in a Clinical Sample of Children and Toddlers

Some studies show that the diagnosis of Autism Spectrum Disorder could be considered reliable and stable in children aged 18 to 24 months. Nevertheless, the diagnostic stability of early ASD diagnosis has not yet been fully demonstrated. This observational study examines the one-year diagnostic stability of autism spectrum disorder diagnosis in a clinical sample of 147 children diagnosed between 18 and 48 months of age. The ADOS-2 scores were used in order to stratify children in three levels of symptom severity: Autism (AD; comparison score 5–7), Autism Spectrum Disorder (ASD; comparison score 3–4), and Sub-Threshold Symptoms; (STS; comparison score 1–2). Results: Overall, the largest part of children and toddlers diagnosed with autism spectrum disorder between 18 and 48 months continued to show autistic symptoms at one-year follow-up evaluation. Nevertheless, a significant percentage of children with higher ADOS severity scores exhibited a reduction of symptom severity and, therefore, moved towards a milder severity class one year later. Conversely, the number of subjects of the STS group meaningfully increased. Therefore, at one-year follow-up a statistically significant (χ²(2) = 181.46, p < 0.0001) percentage of subjects (25.2% of the total) who had received a categorical diagnosis of Autistic Disorder or Autism Spectrum Disorder in baseline no longer met the criteria for a categorical diagnosis. Furthermore, children who no longer met the criteria for autism spectrum disorder continue to show delays in one or more neurodevelopmental areas, possibly related to the emergence of other neurodevelopmental/neuropsychiatric disorders. Overall, the comprehensive results of the study account for a high sensibility but a moderate stability of ASD early diagnosis.

Early Intervention with Parents of Children with Autism Spectrum Disorders: A Review of Programs

The aim of this article was to analyze the evidence regarding the effectiveness of intervention programs for children with autism based on the participation of their parents. To obtain the data, a systematic search was carried out in four databases (PsycARTICLES (ProQuest), ERIC (ProQuest), PubMed (ProQuest), and Scopus). The retrieved documents were refined under the inclusion/exclusion criteria, and a total of 51 empirical studies were selected. These studies were first classified according to the function of the intervention objective and, later, by the methodology applied (19 studies were based on comprehensive interventions, 11 focused on the nuclear symptoms of autism spectrum disorder (ASD), 12 focused on the promotion of positive parenting, and nine interactions focused on child play). Once all of the documents had been analyzed, the evidence indicated scientific efficacy in most studies, mainly in those based on child development and the application of behavioral analysis principles. Moreover, the positive influence of parent participation in such programs was demonstrated.

Diagnosis of Autism Spectrum Disorder Across the Lifespan

Although autism spectrum disorder (ASD) is one of the most common neurodevelopmental disorders it is also one of the most heterogeneous conditions, making identification and diagnosis complex. The importance of a stable and consistent diagnosis cannot be overstated. An accurate diagnosis is the basis for understanding the individual and establishing an individualized treatment plan. We present those elements that should be included in any assessment for ASD and describe the ways in which ASD typically manifests itself at various developmental stages. The implications and challenges for assessment at different ages and levels of functioning are discussed.

Is Earlier Better? The Relationship between Age When Starting Early Intervention and Outcomes for Children with Autism Spectrum Disorder: A Selective Review

Although the conventional wisdom is that “earlier is better” when it comes to intervention for children with ASD, it is not clear what evidence exists to support this notion. This review examined a group of studies that addressed outcomes for young children with ASD who started early intervention at a range of ages. The review was selective by including only papers that examined the age of initiation of treatment as well as baseline cognitive, language, or adaptive level and, in addition, employed a method to control for the covariance between early ability level and age of beginning intervention. Fourteen studies were identified and then compared on methods and outcomes. The support for “earlier is better” was mixed, but it was clear that complex relationships among predictor variables need to be explored in order to understand the role of age of starting early intervention for later outcomes.

Parents' experiences of the service pathway to an autism diagnosis for their child: What predicts an early diagnosis in Australia?

BACKGROUND

The early identification and diagnosis of autism is critical to ensure access to appropriate early intervention and support. Few studies have examined the association between potentially modifiable characteristics of the service system and timelier diagnosis.

METHODS

An online survey was conducted to examine parental experiences of service pathways to an autism diagnosis for their child, and to identify child, family, and service level characteristics that predict the age and timeliness of diagnosis. Participants included 107 parents of children with autism who were diagnosed by 7 years of age and a smaller subgroup of 29 parents who were diagnosed after 7 years of age.

RESULTS

Parents of younger children reported that, on average, it took approximately 12 months and 8 professional consultations to receive a confirmed diagnosis for their child. Parents of older children, as well as those who reported they were a sole caregiver, or were advised by professionals to 'wait and see', reported more time between first raising concerns and diagnosis.

CONCLUSIONS

The findings reiterate the importance of proactive professional responses to parental concerns. They also highlight the need for standardised screening and assessment and professional development and training to build capacity in the sector to deliver timely and accurate autism diagnoses.

Integrating the Early Start Denver Model into Israeli community autism spectrum disorder preschools: Effectiveness and treatment response predictors

Early intensive intervention has been shown to significantly affect the development of children with autism spectrum disorder. However, the costly implementation of such interventions limits their wide dissemination in the community. This study examined an integration of the Early Start Denver Model into community preschool programs for children with autism spectrum disorder in Israel. Four community preschools implemented the preschool-based Early Start Denver Model and four implemented a multidisciplinary developmental intervention which is widely applied in Israeli community autism spectrum disorder preschools. Fifty-one children (aged 33–57 months) participated in the study. Twenty-six attended the preschool-based Early Start Denver Model preschools and twenty-five attended the multidisciplinary developmental intervention settings. Groups were comparable on age, developmental functioning, and socio-economic status. Compared to the multidisciplinary developmental intervention group, children in the preschool-based Early Start Denver Model treatment made greater gains on blinded measures of overall cognitive development, receptive and expressive language skills, as well as on parent- and teacher-reported adaptive communication and socialization abilities. In the preschool-based Early Start Denver Model group, children with lower symptom severity, higher adaptive functioning, and receptive language abilities at pre-treatment showed greater improvement. This study documents the successful integration of an Early Start Denver Model intervention into pre-existing community preschools, underlining the importance of disseminating evidence-based early intervention in community settings.

Recent Developments in Treatment Outcome Measures for Young Children With Autism Spectrum Disorder (ASD)

Significant advancements have been made in early intervention programs for children with Autism spectrum disorder (ASD). However, measuring treatment response for children with ASD is difficult due to the heterogeneity of changes in symptoms, which can be subtle, especially over a short period of time. Here we outline the challenge of evaluating treatment response with currently available measures as well as newly developed or refined measures that may be useful in clinical trials for young children with ASD. Continued development of treatment outcome measures will help the field identify and compare efficacious interventions and tailor treatments for children with ASD.

Quality of Early Intensive Behavioral Intervention as a Predictor of Children's Outcome

Research has directed surprisingly little attention to the quality of Early Intensive Behavioral Intervention (EIBI) in autism spectrum disorder (ASD) as a potential predictor of outcome. Therefore, using a preschool delivery model within a sample of 30 children, we examined the predictive power of EIBI quality on treatment outcome. EIBI quality was assessed at baseline by the York Measure of Quality of Intensive Behavioral Intervention (YMQI) and treatment outcome was evaluated after a period of 4 to 6 months using a battery of behavioral tests and scales to evaluate treatment success. Multinomial logistic regressions demonstrated that general EIBI quality predicted clinically significant change at follow-up. Particularly improvements in basic language and learning skills and global clinical impression were observed. Specific quality indicators that influenced overall treatment success were treatment organization, teaching level and differential reinforcement. In addition to previously examined predictors of EIBI treatment effects, such as child characteristics and intervention quantity, our findings highlight the importance of adequate EIBI quality assurance.

Adherence to screening and referral guidelines for autism spectrum disorder in toddlers in pediatric primary care

Objectives

Although the American Academy of Pediatrics recommends screening for autism spectrum disorder (ASD) for all young children, disparities in ASD diagnosis and intervention in minority children persist. One potential contributor to disparities could be whether physicians take different actions after an initial positive screen based on patient demographics. This study estimated factors associated with physicians completing the follow-up interview for the Modified Checklist for Autism in Toddlers with Follow-up (M-CHAT-F), and referring children to diagnostic services, audiology, and Early Intervention (EI) immediately after a positive screen.

Methods

Children seen in a large primary care network that has implemented universal ASD screening were included if they screened positive on the M-CHAT parent questionnaire during a 16–30 month well child visit (N = 2882). Demographics, screening results, and referrals were extracted from the electronic health record.

Results

Children from lower-income families or on public insurance were more likely to have been administered the follow-up interview. Among children who screened positive, 26% were already in EI, 31% were newly referred to EI, 11% were referred each to audiology and for comprehensive ASD evaluation. 40.2% received at least one recommended referral; 3.7% received all recommended referrals. In adjusted multivariable models, male sex, white versus black race, living in an English-speaking household, and having public insurance were associated with new EI referral. Male sex, black versus white race, and lower household income were associated with referral to audiology. Being from an English-speaking family, white versus Asian race, and lower household income were associated with referral for ASD evaluation. A concurrent positive screen for general developmental concerns was associated with each referral.

Conclusions

We found low rates of follow-up interview completion and referral after positive ASD screen, with variations in referral by sex, language, socio-economic status, and race. Understanding pediatrician decision-making about ASD screening is critical to improving care and reducing disparities.

Diagnosis of Autism Spectrum Disorder Across the Lifespan

Although autism spectrum disorder (ASD) is one of the most common neurodevelopmental disorders it is also one of the most heterogeneous conditions, making identification and diagnosis complex. The importance of a stable and consistent diagnosis cannot be overstated. An accurate diagnosis is the basis for understanding the individual and establishing an individualized treatment plan. We present those elements that should be included in any assessment for ASD and describe the ways in which ASD typically manifests itself at various developmental stages. The implications and challenges for assessment at different ages and levels of functioning are discussed.

Screening Instruments for Developmental and Behavioral Concerns in Pediatric Hispanic Populations in the United States: A Systematic Literature Review

BACKGROUND

Racial and ethnic disparities in the identification of developmental and behavioral concerns in children are public health problems in the United States. Early identification of developmental delay using validated screening instruments provides a pathway to prevention and intervention in pediatric health care settings. However, the validity of Spanish-language screening instruments, used in clinical settings in the United States, has not been systematically examined.

OBJECTIVE

This study aims to review the literature of clinically administered developmental and behavioral instruments with Hispanic caregivers to investigate implementation variation due to language and cultural factors.

METHODS

A systematic literature review using PubMed and PsycINFO was conducted of articles published from January 1, 2006 to December 12, 2017. Abstract, full-text, and critical appraisal resulted in 11 studies that met criteria for inclusion.

RESULTS

Five different instruments were used to screen Hispanic or Spanish-speaking caregivers of children younger than 6 years. None of the instruments established validity and reliability apart from Spanish translation. Two studies identified differences in screening results with Spanish-speaking caregivers due to language and 6 described cultural differences that impacted screening implementation. Two studies reported differential item functioning in Spanish-translated instruments.

CONCLUSIONS

Language and cultural considerations are critical to the administration of valid and reliable screening in pediatric health care settings. Available developmental and behavioral Spanish-language-screening instruments function differently because of both language and culture, suggesting the tools are not as psychometrically valid when administered to Spanish-speaking families. Validation of translated screening instruments is essential to eliminate the possibility of detection bias or misidentification of developmental risk, improving early access to clinical services for Hispanic and Spanish-speaking families.

Autism Spectrum Disorder Associated with Germline Heterozygous PTEN Mutations

This review examines our current understanding of autism spectrum disorder (ASD), its prevalence, impact, behavioral treatment, and outcomes. Building on this knowledge, ASD associated with PTEN mutations is introduced and recent human studies of neurobehavioral and neuroimaging findings in patients with PTEN mutations with and without ASD are reviewed. In doing so, we present evidence supporting a model of PTEN loss leading to neurobehavioral deficits, including ASD and intellectual disability. Next, we describe the neurobehavioral spectrum observed across PTEN mutation cases, adding specificity where possible, based on data from recent studies of child and adult PTEN patients. Finally, we end with a discussion of potential clinical recommendations for improving interventions and supports for people with PTEN-ASD and future research avenues for understanding and treating the functional and cognitive deficits in PTEN-ASD.

Do Student Characteristics Affect Teachers' Decisions to Use 1:1 Instruction?

One-to-one instruction is a critical component of evidence-based instruction for students with autism spectrum disorder, but is not used as often as recommended. Student characteristics may affect teachers' decisions to select a treatment and/or implement it. This study examined the associations between students' clinical and demographic characteristics and teachers' reported use of discrete trial training (DTT) and pivotal response training (PRT). Children's higher sensory symptoms, lower social approach, lower verbal skills and higher self-regulation difficulties were associated with more frequent 1:1 DTT and PRT. Results suggest that teachers give more frequent 1:1 instruction to children with more observable impairments, do not match children to type of 1:1 intervention, and may inadvertently neglect other students for whom individualized intervention may still be beneficial.

Racial and Ethnic Disparities in Autism-Related Health and Educational Services

OBJECTIVE

The objective of this study is to measure racial and ethnic disparities in autism-related services among U.S. children with parent-reported autism spectrum disorder (ASD).

METHODS

Using the 2011 Survey of Pathways to Diagnosis and Services, we analyzed parent-reported data on 1420 children with current ASD in the nationally representative sample. An estimation method consistent with the Institute of Medicine's definition of health care disparities is used to measure racial and ethnic disparities.

RESULTS

The findings revealed Latino-white disparities in the percentage of children currently using school-based occupational and physical therapy and Latino-white and "other race"-white disparities in the percentage of children using physical therapy outside of school. There were no statistically significant black-white disparities. Instead, the study found that the percentage of black children with ASD receiving school-based services was 8 points higher than that of white children (p < 0.04). Factors unrelated to the need for autism services were largely unassociated with the receipt of services.

CONCLUSION

The findings provide a partial baseline and identify a need for further examination of the source of existing disparities and the lack of disparities found for specific services and minority groups.

Feasibility and Outcomes of the Early Start Denver Model Implemented with Low Intensity in a Community Setting in Austria

OBJECTIVE

To investigate the feasibility and effectiveness of early autism intervention with the Early Start Denver Model (ESDM) implemented with low intensity in a community service in Europe.

METHODS

Subjects were boys (n = 13, ages 34-54 months, mean age 43.3 months) consecutively diagnosed with autism spectrum disorder in a regional autism center in Austria. The subjects either received the ESDM intervention for 4.6 hours weekly over 12 months (n = 7) or intervention as usual (n = 6). Feasibility of the ESDM intervention was evaluated by parent and teacher questionnaires, ESDM fidelity measures, and therapists' feedback. Developmental status was assessed through standardized instruments (Mullen Scales of Early Learning [MSEL], Vineland Adaptive Behavior Scales Second Edition, Communicative Development Inventory, Pervasive Developmental Disorder Behavior Inventory [PDDBI], Parenting Sense of Competence Scale) at baseline and after intervention.

RESULTS

The ESDM intervention was delivered with high fidelity (>80%) by a newly trained multiprofessional team. Acceptability by parents was rated as high. The ESDM was considered to be compatible with both family and preschool routines without any major adaptations. The ESDM group showed a trend toward improved receptive language (MSEL receptive language; p = 0.09, effect size [ES] = 0.72) and reduction in parent-reported core autism symptoms (PDDBI Autism Composite Score; p = 0.04; ES = 0.95). No such improvement was noted in the control group.

CONCLUSION

Low-intensity implementation of the ESDM in a non-English-speaking community service context is feasible. Although outcomes from this small feasibility study should be interpreted with caution, our findings suggest a more favorable response to the ESDM intervention group compared with the control group.

ECHO Autism STAT: Accelerating Early Access to Autism Diagnosis

Although early diagnosis of autism is critical for promoting access to early intervention, many children experience significant diagnostic delays. Shortages of healthcare providers, limited capacity at autism centers, and geographic and socioeconomic challenges contribute to these delays. The current pilot study examined the feasibility of a new model for training community-based primary care providers (PCPs) in underserved areas in screening and diagnosis of young children at highest risk for autism. By combining hands-on training in standardized techniques with ongoing virtual mentorship and practice, the program emphasized both timely diagnosis and appropriate referral for more comprehensive assessment when necessary. Results indicated improvements in PCP practice and self-efficacy, and feasibility of the model for enhancing local access to care.

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).