Response to Early Intensive Behavioral Intervention for autism—An umbrella approach to issues critical to treatment individualization

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

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

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.

A Scoping Literature Review of the Relation between Nutrition and ASD Symptoms in Children

Autism spectrum disorder (ASD) is characterized by impairments in social interaction, communication skills, and repetitive and restrictive behaviors and interests. Even though there is a biological basis for an effect of specific nutrition factors on ASD symptoms and there is scientific literature available on this relationship, whether nutrition factors could play a role in ASD treatment is unclear. The goal of the current literature review was to summarize the available scientific literature on the relation between nutrition and autism spectrum disorder (ASD) symptoms in childhood, and to formulate practical dietary guidelines. A comprehensive search strategy including terms for ASD, nutrition factors (therapeutic diets, dietary patterns, specific food products, fatty acids and micronutrients) and childhood was developed and executed in six literature databases (Cinahl, Cochrane, Ovid Embase, PsycInfo, PubMed and Web of Science). Data from meta-analyses, systematic reviews and original studies were qualitatively summarized. A total of 5 meta-analyses, 29 systematic reviews and 27 original studies were retrieved that focused on therapeutic diets, specific food products, fatty acids and micronutrients and ASD symptoms during childhood. Results of the available studies were sparse and inconclusive, and hence, no firm conclusions could be drawn. There is currently insufficient evidence for a relation between nutrition and ASD symptoms in childhood, making it impossible to provide practical nutrition guidelines; more methodological sound research is needed.

Exploring Exceptions and Discovering Solutions: A Case Presentation of Autism and the Family

As the prevalence of autism spectrum disorder (ASD) continues to rise, there is a rapidly increasing need for treatment services among individuals diagnosed with ASD and families. Currently, the majority of the evidence-based treatments, such as Applied Behavior Analysis, overlook the notable systemic effects of ASD and maintain a problem-focused lens. There is a growing body of research calling for strength-based, relational interventions that build on existing resources to enhance coping, efficacy, and well-being among families affected by ASD. Solution-Focused Brief Therapy (SFBT) is a widely practiced clinical approach that is increasingly being used among clinicians to address the systemic effects of developmental disabilities in the family. However, particular modifications to specific interventions may better accommodate autism-associated deficits in executive functioning (e.g., goal development and impulsivity), perspective taking, or restricted interests when using an SFBT approach. This article offers recommendations for adapting a solution-focused approach by modifying commonly used SFBT interventions to address family-driven treatment goals using a collaborative stance with families of children with ASD. A case presentation is included to demonstrate SFBT as informed by the unique challenges and inherent resources of families affected by ASD that have been identified in the extant literature.

Study protocol of the multi-centre, randomised controlled trial of the Frankfurt Early Intervention Programme A-FFIP versus early intervention as usual for toddlers and preschool children with Autism Spectrum Disorder (A-FFIP study)

BACKGROUND

Naturalistic developmental behavioural interventions (NDBI) have been shown to improve autism-specific symptoms in young children with Autism Spectrum Disorder (ASD). NDBI approaches, such as the ASD-specific Frankfurt Early Intervention Programme for ASD (A-FFIP), are based on ASD-specific developmental and learning aspects. A-FFIP is a low-intensity intervention which can easily be implemented in the local health care/social welfare system. The aim of the present study is to establish 1-year efficacy of the manualised early intervention programme A-FFIP in toddlers and preschool children with ASD. It is hypothesised that A-FFIP will result in improved ASD-specific symptoms compared to early intervention as usual (EIAU). Child- and family-specific secondary outcomes, as well as moderators and mediators of outcome, will be explored.

METHODS/DESIGN

A prospective, multi-centre, parallel-group, randomised controlled, phase-III trial comparing A-FFIP versus EIAU. A total of 134 children (A-FFIP: 67, EIAU: 67) aged 24-66 months at baseline assessment meeting the criteria for ASD (DSM-5) will be included. The primary outcome is the absolute change of the total score of the Brief Observation of Social Communication Change (BOSCC-AT) between baseline (T2) and 1-year follow-up (T6). The treatment effect will be tested, adjusted for relevant covariates applying a mixed model for repeated measures. Secondary outcomes are BOSCC social communication and repetitive-behaviour scores, single ASD symptoms, language, cognition, psychopathology, parental well-being and family quality of life. Predictors, moderators and mediating mechanisms will be explored.

DISCUSSION

If efficacy of the manualised A-FFIP early intervention is established, the current study has the potential to change clinical practice strongly towards the implementation of a low-intensity, evidence-based, natural early intervention in ASD. Early intervention in ASD requires specialist training, which subsequently needs to be developed or included into current training curricula.

TRIAL REGISTRATION

German Registry for Clinical Trials (Deutscher Register Klinischer Studien, DRKS); ID: 00016330. Retrospectively registered on 4 January 2019. URL: https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00016330.

Care Coordination of Autism Spectrum Disorder: A Solution-Focused Approach

The expanding practice of multi-disciplinary care to address the complex nature of Autism Spectrum Disorder (ASD) suggests that there is a need for a means of coordinating care that transcends the disciplinary distinctions of relevant ASD treatment providers. As ASD services become more specialized, there is a growing need for effective care coordination with providers across the systems of care. Nursing professionals are ideally qualified to support families affected by ASD, as they provide a necessary holistic lens of health and wellbeing to obtain the appropriate treatments. Solution-focused brief therapy has been applied to a growing number of clinical settings, indicating solution-focused techniques are applicable to the various contexts associated with ASD treatments. We provide a case presentation to demonstrate a solution-focused approach to address ASD-related concerns within the family that are generalizable to coordination of care.

Trends in documented co-occurring conditions in children with autism spectrum disorder, 2002-2010

BACKGROUND

Autism spectrumdisorder (ASD) commonly presents with co-occurring medical conditions (CoCs). Little is known about patterns in CoCs in a time of rising ASD prevalence.

AIMS

To describe trends in number and type of documented CoCs in 8-year-old children with ASD.

METHODS

We used Autism and Developmental Disabilities Monitoring Network (ADDM) data, a multi-source active surveillance system monitoring ASD prevalence among 8-year-old children across the US. Data from surveillance years 2002, 2006, 2008, and 2010 were used to describe trends in count, categories, and individual CoCs.

RESULTS

Mean number of CoCs increased from 0.94 CoCs in 2002 to 1.06 CoCs in 2010 (p < 0.001). The percentage of children with ASD with any CoC increased from 44.5% to 56.4% (p < 0.001). CoCs with the greatest increases were in general developmental disability (10.4% to 14.5%), language disorder (18.9% to 23.6%), and motor developmental disability (10.5% to 15.6%). Sex modified the relationship between developmental (P = 0.02) and psychiatric (P < 0.001) CoCs and surveillance year. Race/ethnicity modified the relationship between neurological conditions (P = 0.04) and surveillance year.

CONCLUSIONS

The increase in the percentage of children with ASD and CoCs may suggest the ASD phenotype has changed over time or clinicians are more likely to diagnose CoCs.

Autism: One or many spectrums?

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

Demographic and Clinical Characteristics Associated with Engagement in Behavioral Health Treatment Among Children with Autism Spectrum Disorders

This study investigates demographic and clinical factors associated with initiation, continuation, and adherence to behavioral health treatment (BHT) among children with autism spectrum disorder. Among 293 insured children referred for applied behavior analysis (ABA) based BHT, 23% never initiated treatment. Among those initiating treatment, 31% discontinued treatment within 1 year of treatment initiation, and only 15% received 80% or more of recommended treatment hours. Younger age at referral to treatment, private health insurance, and receiving more than 10 h/week of BHT were associated with treatment engagement. Co-occurring psychiatric and medical conditions were related to treatment discontinuation among children 5 years or older. These findings suggest specific subgroups that may benefit from additional support with engaging in recommended behavioral health treatment.

Follow-Up of Children With Autism Spectrum Disorder 1 Year After Early Behavioral Intervention

The effectiveness of early intensive behavioral intervention (EIBI) for children with autism spectrum disorders (ASDs) has been demonstrated by many studies and meta-analyses. Although it is considered an exemplary practice in several countries, few studies have investigated the maintenance of gains made in EIBI over time. Thirty-two children were assessed at posttreatment and 1-year follow-up after they attended a low-to-moderate-intensity (10 to 20 hr per week) EIBI program delivered by a public rehabilitation center. Between baseline and posttreatment, children showed significant gains in most areas of intellectual functioning and a significant decrease of autism symptom severity, but no change in adaptive behavior. Gains in intellectual functioning were maintained over a 1-year period after treatment termination, but autism symptom severity had increased to approximately pretreatment levels during that interval. Considerable individual variability was noted in the evolution of outcomes.

An evaluation of the effects of intensity and duration on outcomes across treatment domains for children with autism spectrum disorder

Applied behavior analysis (ABA) is considered an effective treatment for individuals with autism spectrum disorder (ASD), and many researchers have further investigated factors associated with treatment outcomes. However, few studies have focused on whether treatment intensity and duration have differential influences on separate skills. The aim of the current study was to investigate how treatment intensity and duration impact learning across different treatment domains, including academic, adaptive, cognitive, executive function, language, motor, play, and social. Separate multiple linear regression analyses were used to evaluate these relationships. Participants included 1468 children with ASD, ages 18 months to 12 years old, M=7.57 years, s.d.=2.37, who were receiving individualized ABA services. The results indicated that treatment intensity and duration were both significant predictors of mastered learning objectives across all eight treatment domains. The academic and language domains showed the strongest response, with effect sizes of 1.68 and 1.85 for treatment intensity and 4.70 and 9.02 for treatment duration, respectively. These findings are consistent with previous research that total dosage of treatment positively influences outcomes. The current study also expands on extant literature by providing a better understanding of the differential impact that these treatment variables have across various treatment domains.

Implementation evaluation of early intensive behavioral intervention programs for children with autism spectrum disorders: A systematic review of studies in the last decade

For young children with autism spectrum disorders, one of the choice interventions is Early Intensive Behavioral Intervention. Over the past ten years, its effectiveness has been abundantly evaluated based on various parameters, including the intensity and duration of the intervention. Despite major advances in effectiveness evaluation, data concerning the implementation of the intervention are often described briefly, and the active ingredients of the intervention are but rarely linked to the documented effects.

OBJECTIVES

This study aims at reviewing with a systematic method, the studies pertaining to EIBI provided to children with autism spectrum disorders over the past ten years (2005-2015) and at documenting the program implementation components described in the studies, based on Dane and Schneider's (1998) model in accordance with PRISMA guidelines.

RESULTS

The results show that, although the variables related to intervention dosage and protocol are relatively well described, the authors do not always consider them in the effects analysis. Furthermore, the majority of the studies did not report information on intervention participation, differentiation or quality.

CONCLUSIONS

Data concerning the implementation of the intervention are partially described in the articles retained. In this regard, a better description of the intervention provided and a more systematic evaluation of its implementation seem necessary to detect the subtle differences in the effects of the intervention.

Impact of the Early Start Denver Model on the cognitive level of children with autism spectrum disorder: study protocol for a randomised controlled trial using a two-stage Zelen design

INTRODUCTION

Early intervention for autism spectrum disorder (ASD) in the European French-speaking countries is heterogeneous and poorly evaluated to date. Early intervention units applying the Early Start Denver Model (ESDM) for toddlers and young children with ASD have been created in France and Belgium to improve this situation. It is essential to evaluate this intervention for the political decision-making process regarding ASD interventions in European French-speaking countries. We will evaluate the effectiveness of 12 hours per week ESDM intervention on the cognitive level of children with ASD, over a 2-year period.

METHODS AND ANALYSIS

The study will be a multicentre, randomised controlled trial, using a two-stage Zelen design. Children aged 15-36 months, diagnosed with ASD and with a developmental quotient (DQ) of 30 or above on the Mullen Scale of Early Learning (MSEL) will be included. We will use a stratified minimisation randomisation at a ratio 1:2 in favour of the control group. The sample size required is 180 children (120 in the control and 60 in the intervention group). The experimental group will receive 12 hours per week ESDM by trained therapists 10 hours per week in the centre and 2 hours in the toddlers' natural environment (alternatively by the therapist and the parent). The control group will receive care available in the community. The primary outcome will be the change in cognitive level measured with the DQ of the MSEL scored at 2 years. Secondary outcomes will include change in autism symptoms, behavioural adaptation, communicative and productive language level, sensory profile and parents' quality of life. The primary analysis will use the intention-to-treat principle. An economic evaluation will be performed.

DISSEMINATION

Findings from the study will be disseminated through peer reviewed publications and meetings.

TRIAL REGISTRATION NUMBER

NCT02608333 (clinicaltrials.gov); Pre-results.

Current Practice and Future Avenues in Autism Therapy

Autism spectrum disorders (ASDs) are neurodevelopmental disorders with early onset, characterized by deficits in social communication and repetitive and restricted interests and activities. A growing number of studies over the last 10 years support the efficacy of behaviorally based interventions in ASD for the improvement of social communication and behavioral functioning. In contrast, research on neurobiological based therapies for ASD is still at its beginnings. In this article, we will provide a selective overview of both well-established evidence-based treatments and novel interventions and drug treatments based on neurobiological principles aiming at improving core symptoms in ASD. Directions and options for future research on treatment in ASD are discussed.

A Program Evaluation of Home and Center-Based Treatment for Autism Spectrum Disorder

The present study aimed to retrospectively compare the relative rates of mastery of exemplars for individuals with ASD (N = 313) who received home-based and center-based services. A between-group analysis found that participants mastered significantly more exemplars per hour when receiving center-based services than home-based services. Likewise, a paired-sample analysis found that participants who received both home and center-based services had mastered 100 % more per hour while at the center than at home. These analyses indicated that participants demonstrated higher rates of learning during treatment that was provided in a center setting than in the participant's home.

Intensity and Learning Outcomes in the Treatment of Children With Autism Spectrum Disorder

Ample research has shown that intensive applied behavior analysis (ABA) treatment produces robust outcomes for individuals with autism spectrum disorder (ASD); however, little is known about the relationship between treatment intensity and treatment outcomes. The current study was designed to evaluate this relationship. Participants included 726 children, ages 1.5 to 12 years old, receiving community-based behavioral intervention services. Results indicated a strong relationship between treatment intensity and mastery of learning objectives, where higher treatment intensity predicted greater progress. Specifically, 35% of the variance in mastery of learning objectives was accounted for by treatment hours using standard linear regression, and 60% of variance was accounted for using artificial neural networks. These results add to the existing support for higher intensity treatment for children with ASD.

An Evaluation of the Impact of Supervision Intensity, Supervisor Qualifications, and Caseload on Outcomes in the Treatment of Autism Spectrum Disorder

Ample research has shown the benefits of intensive applied behavior analysis (ABA) treatment for autism spectrum disorder (ASD); research that investigates the role of treatment supervision, however, is limited. The present study examined the relationship between mastery of learning objectives and supervision hours, supervisor credentials, years of experience, and caseload in a large sample of children with ASD (N = 638). These data were retrieved from a large archival database of children with ASD receiving community-based ABA services. When analyzed together via a multiple linear regression, supervision hours and treatment hours accounted for only slightly more of the observed variance (r² = 0.34) than treatment hours alone (r² = 0.32), indicating that increased supervision hours do not dramatically increase the number of mastered learning objectives. In additional regression analyses, supervisor credentials were found to have a significant impact on the number of mastered learning objectives, wherein those receiving supervision from a Board Certified Behavior Analyst (BCBA) mastered significantly more learning objectives. Likewise, the years of experience as a clinical supervisor showed a small but significant impact on the mastery of learning objectives. A supervisor's caseload, however, was not a significant predictor of the number of learning objectives mastered. These findings provide guidance for best practice recommendations.

Promoting Shared Decision Making to strengthen outcome of young children with Autism Spectrum Disorders: the role of staff competence

Little is known on how the conceptual description of Shared Decision Making (SDM) accomplishes clinical practice in the context of lifetime disabilities as in particular Autism Spectrum Disorders (ASD), when intervention is long-lasting and requires constant family involvement. This study aimed mainly to investigate to what extent the staff's competence in SDM contributes to positive child and parent improvement when involving parents in Early Intensive Behavior Interventions (EIBI). It was also geared to verify whether SDM staff competence contributes to a child's treatment responsiveness. A total of 25 young children with ASD (23 male, 3 female, age range 34-92 months, mean age 51.4±13.6) were included in the study. Of these, nine children were allocated to a Parent Involvement condition accompanied by SDM Staff Training (PI-SDM), and eight children to a Parent Inclusion in Treatment Delivery Only condition without SDM Staff Training (PI-DO). Nine months treatment outcomes of severity, developmental and adaptive measures were compared to Treatment As Usual (n=8). PI-SDM was associated with improvement of autistic symptoms (p≤.05), adaptive functioning (p≤.01) and developmental outcome (p≤.01), as well as parent (p≤.05) and staff competence (p≤.001). The magnitude of outcome was inferior in the PI-PO and TAU group. A Reliable Change was identified in more than 40% of children included in PI-SDM, while PI-PO (>20%) and TAU (>12%) let to little Reliable Change and partially skill deterioration. Staff's SDM skill competence predicts reduced parental stress (β=-.500, p≤.05) and contributes significantly to a positive treatment responder trajectory (p≤.01), besides lower severity (p≤.05), higher adaptive (p≤.01) and communication skills (p≤.05). The study indicates that parent inclusion should be conceptualized as a collaborative partnership model rather than as adherence in treatment provision, based on a target SDM staff training that may constitute an external contributor to treatment responsiveness and positive child as well as parent outcome.