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42,427 result(s) for "Early intervention"
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Delay to Early Intensive Behavioral Intervention and Educational Outcomes for a Medicaid-Enrolled Cohort of Children with Autism
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.
School Age Outcomes of Children Diagnosed Early and Later with Autism Spectrum Disorder
Early diagnosis of Autism Spectrum Disorder is considered best practice, increasing access to early intervention. Yet, many children are diagnosed after 3-years. The current study investigated the school age outcomes of children who received an early and later diagnosis of ASD. The cognitive and behavioural outcomes of children diagnosed early (n = 48), were compared to children diagnosed after 3-years (n = 37). Children diagnosed early accessed more intervention, demonstrated better verbal and overall cognition at school age, were more likely to attend mainstream school and required less ongoing support than children diagnosed later. Behavioural differences were not found between groups. Earlier diagnosis is important and is likely to promote more positive outcomes at school age due to increased opportunity for EI.
Overview of Meta-Analyses on Early Intensive Behavioral Intervention for Young Children with Autism Spectrum Disorders
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.
Early parenting and prevention of disorder : psychoanalytic research at interdisciplinary frontiers
This book provides insight and findings from leading psychoanalysts who are involved in early prevention research and clinical work. Advances in the sciences of early development have brought a heightened awareness to the crucial importance of early experiences for health and development as well as building strong foundations for education and preventing disorder. New approaches are applied in home visitation, working with immigrant families, and those stressed by trauma, conflicts and economic disadvantage. Examples of clinical application and the implementation of promising programs in an outreach psychoanalysis are also provided.
Enhancing Low-Intensity Coaching in Parent Implemented Early Start Denver Model Intervention for Early Autism: A Randomized Comparison Treatment Trial
Short-term low intensity parent implemented intervention studies for toddlers with autism spectrum disorder (ASD) have found it difficult to demonstrate significantly improved developmental scores or autism severity compared to community treatment. We conducted a randomized comparative intent-to-treat study of a parent implemented intervention to (1) test the effects of an enhanced version on parent and child learning, and (2) evaluate the sensitivity to change of proximal versus distal measures of child behavior. We randomized 45 children with ASD, 12–30 months of age, into one of two versions of parent-implemented Early Start Denver Model (P-ESDM), the basic model, in which we delivered 1.5 h of clinic-based parent coaching weekly, and an enhanced version that contained three additions: motivational interviewing, multimodal learning tools, and a weekly 1.5-h home visit. We delivered the intervention for 12 weeks and measured child and parent change frequently in multiple settings. We found a time-by-group interaction: parents in the enhanced group demonstrated significantly greater gains in interaction skills than did parents in the non-enhanced group. Both interventions were associated with significant developmental acceleration; however, child outcomes did not differ by group. We found a significant relationship between degree of change in parental interaction skill and rate of children’s improvement on our proximal measure. Parents in both groups reported satisfaction with the intervention. These findings suggest that parent skills improved more in the enhanced group than the comparison group. Children in the two groups showed similar improvements. Rate of individual parent learning was associated with greater individual child progress on a measure quite proximal to the treatment, though not on standardized assessments.
Neurodiversity and Autism Intervention: Reconciling Perspectives Through a Naturalistic Developmental Behavioral Intervention Framework
Proponents of autism intervention and those of the neurodiversity movement often appear at odds, the former advocating for intensive treatments and the latter arguing that autism must be accepted as a form of diversity. The history of behavioral intervention has understandably outraged many in the Autistic community, though many still value supports focused on quality of life. This commentary argues that Naturalistic Developmental Behavioral Interventions (NDBIs) hold promise for bridging the gap between early intervention and the neurodiversity movement. However, we recognize NDBIs have much room to grow and suggest multiple strategies for improvement. We believe these updates are not only feasible for clinicians and researchers to implement but will ultimately lead to improved quality of life for Autistic individuals.
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.