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Research emphasizes the importance of seamless transitions from Early Behavioral Intervention (EBI) to school-based services, but formal support during this critical period remains limited, leading to decreased parental satisfaction with autism services. This study aimed to systematically document parents' perception of the quality of services received during the transition from EBI to kindergarten, along with the predictors of this perception. The study adopted a prospective longitudinal design and relied on a validated evaluation framework, the Evaluation of the Trajectory in Autism for Parents (ETAP). ETAP allows to investigate five critical determinants (accessibility, continuity, validity, flexibility, empathy) of service quality, as rated by parents (N = 138 families), which were evaluated at three critical periods of the transition: end of EBI, beginning and end of first year of school. Quality ratings indicated generally positive perceptions but showed small to medium effect size decreases over time; validity had the largest decrease. Predictors of quality ratings and changes in ratings differed by phase of the transition and included child characteristics (gender, age, disabilities, challenging behavior), parent characteristics (maternal origin, fluency in the official language of the province, education level), and family characteristics (number of children). This study's comprehensive analysis of service quality determinants and possible risk and protective factors provides insights into improving support for families navigating the transition to school.Keywords: Autism, Early behavioral intervention, School transition, Parental perception, Service quality, Evaluation framework.

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.

For over 50 years, intervention methods informed by the principles of applied behavior analysis (ABA) have been empirically researched and clinically implemented for autistics/individuals diagnosed with autism spectrum disorder (ASD). Despite the plethora of evidence for the effectiveness of ABA-based interventions, some autism rights and neurodiversity activists have expressed concerns with ABA-based interventions. Concerns have included discontent with historical events and possible harm from the procedures and goals targeted. The purpose of this manuscript is to examine some expressed concerns about ABA-based intervention and suggest productive ways of moving forward to provide the best outcomes for autistics/individuals diagnosed with ASD. The authors represent stakeholders from multiple sectors including board certified behavior analysts, licensed psychologists, parents, and autistics/individuals diagnosed with ASD.

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.

Given the importance of social integration and participation in inclusive settings for young children with autism spectrum disorder (ASD), the purpose of this systematic review was to examine instructional outcomes and participant, teacher, group, and instructional characteristics that may be pertinent to successful group instruction for young children with ASD. The studies eligible for inclusion were peer-reviewed journal articles that used an experimental or quasi-experimental design and aimed to improve one or more skills or performance outcomes for young children with ASD below the age of 8 who participated in group instruction with their peers with ASD or other developmental disabilities. A search was conducted on November 1, 2021, using ProQuest databases—PsycINFO, ERIC, and PsycARTICLES. Risks of bias were assessed using the revised Cochrane risk-of-bias tool for randomized trials, the Risk of Bias in Nonrandomized Studies of Interventions, and the single case design risk of bias tool. A total of 33 studies with 237 participants were identified. We found that student performance improved across different instructional domains, and untaught targets were also acquired during group instruction. More importantly, we identified different participant, teacher, group, and instructional characteristics that may be pertinent to successful group instruction. We noted risks for various bias domains for the majority of the studies, limiting the conclusion and generalizability of the intervention effects in these studies. Practical implications were discussed based on the instructional outcome domains and participant, teacher, group, and instructional characteristics.

Increased prevalence of autism spectrum disorder (ASD) has underscored the need for early intervention services. Early Intensive Behavioral Intervention (EIBI) is among the most common evidence-based approaches, however, stakeholders report significant waitlists. The effects of these delays to intervention are unknown. The purpose of this study was to evaluate the effects of delay to EIBI for preschool aged children with ASD on later educational outcomes. Medicaid records from Minnesota (2008–2010) were used to evaluate a cohort diagnosed with ASD and their later educational outcomes from 2010 to 2014 ( n  = 667) using generalized estimating equations. Approximately 70% of children experienced a delay to EIBI and children that experienced less delay and started EIBI at a younger age had better educational outcomes.

This paper presents an overview of 5 meta-analyses of early intensive behavioral intervention (EIBI) for young children with autism spectrum disorders (ASDs) published in 2009 and 2010. There were many differences between meta-analyses, leading to different estimates of effect and overall conclusions. The weighted mean effect sizes across meta-analyses for IQ and adaptive behavior ranged from g  = .38–1.19 and g  = .30–1.09, respectively. Four of five meta-analyses concluded EIBI was an effective intervention strategy for many children with ASDs. A discussion highlighting potential confounds and limitations of the meta-analyses leading to these discrepancies and conclusions about the efficacy of EIBI as an intervention for young children with ASDs are provided.

Background Early behavioral intervention to promote development is recommended as the standard of care for preterm infants, yet is not provided in Malawi. One such intervention is H-HOPE (Hospital to Home: Optimizing the Premature Infant’s Environment). In US studies, H-HOPE increased mother-preterm infant responsivity at 6-weeks corrected age (CA). Kangaroo Mother Care (KMC) improves infant survival and is the standard of care for preterm infants in Malawi. This is the first study to examine whether H-HOPE is feasible and promotes mother-preterm infant responsivity in Malawi, and the first to examine the impact of H-HOPE when KMC is the standard of care. Method This pilot was conducted in a KMC unit using a prospective cohort comparison design. Because the unit is an open room without privacy, random assignment would have led to contamination of the control cohort. H-HOPE includes participatory guidance for mothers and Massage + , a 15 min multisensory session provided by mothers twice daily. H-HOPE began when infants were clinically stable and at least 32 weeks postmenstrual age. Mothers participated if they were physically stable and willing to return for follow-up. Mother-preterm infant dyads were video-recorded during a play session at 6-weeks CA. Responsivity was measured using the Dyadic Mutuality Code (DMC). Results The final sample included 60 H-HOPE + KMC and 59 KMC only mother-preterm infant dyads. Controlling for significant maternal and infant characteristics, the H-HOPE + KMC dyads were over 11 times more likely to have higher responsivity than those in the KMC only dyads (AOR = 11.51, CI = 4.56, 29.04). The only other factor related to higher responsivity was vaginal vs. Caesarian delivery (AOR = 5.44, CI = .096, 30.96). Conclusion This study demonstrated that H-HOPE can be provided in Malawi. Mother-infant dyads receiving both H-HOPE and KMC had higher responsivity at 6-weeks CA than those receiving KMC only. H-HOPE was taught by nurses in this study, however the nursing shortage in Malawi makes H-HOPE delivery by nurses challenging. Training patient attendants in the KMC unit is a cost-effective alternative. H-HOPE as the standard of care offers benefits to preterm infants and mothers that KMC alone does not provide.

Background Many studies display promising results for interventions that are based on Applied Behavior Analysis (ABA) in the treatment of autism spectrum disorder (ASD). Methods: This meta-analysis assessed the effects of such treatments on developmental outcomes in children with ASD and on parental stress based on 11 studies with 632 participants. Results: Compared to treatment as usual, minimal or no treatment, comprehensive ABA-based interventions showed medium effects for intellectual functioning (standardized mean difference SMD = 0.51, 95% CI [0.09; 0.92]) and adaptive behavior (SMD = 0.37, 95% CI [0.03; 0.70]). Language abilities, symptom severity or parental stress did not improve beyond the improvement in control groups. Moderator analyses indicate that language abilities at intake could influence the effect sizes and the influence of treatment intensity might decrease with older age. Conclusions: Practical implications and limitations are discussed.

Early intensive behavioral intervention (EIBI) and its recent variant, naturalist developmental behavioral intervention (NDBI) aim to increase socialization and communication, and to decrease repetitive and challenging behaviors in preschool age autistic children. These behaviorist techniques are based on the precocity and intensity of the intervention, face-to-face interaction, errorless learning, and information fragmentation. Once considered to be “scientifically proven”, the efficacy of these approaches has been called into question in the last decade due to poor-quality data, small effects, low cost-efficiency, and the evolution of ethical and societal standards. Grounded on a reappraisal of the genetic and cognitive neuroscience of autism, we question three aspects of EIBI/NDBI: their focus on prerequisites for typical socio-communicative behaviors, their lack of consideration of autistic language development and learning modes, and their negative view of repetitive behaviors and restricted interests. We propose alternative predictions for empirical validation, based on the strengths of prototypical autistic children: (a) their non-verbal intelligence should be normally distributed and within the normal range; (b) improving access to non-communicative verbal and written auditory language material should favor their subsequent speech development and (c) decrease their problematic behavior; (d) lateral tutorship should increase the well-being of children and parents to a greater extent than personalized, face-to-face interventions by professionals; (e) admission to regular, but supervised daycare centers, combined with parental support and on-site crisis solving, represents a more cost-effective educational intervention than EIBI/NDBI.