Special Education Service Use by Children with Autism Spectrum Disorder

The Intersection of Systemic, Child, and Evaluation Factors in the Prediction of Autism Special Education Eligibility; Examining the Role of Race and Ethnicity

Though there is evidence autism identification has been inequitable for populations who are culturally and linguistically minoritized, there is limited research that explains the issue of disproportionality and factors contributing to its occurrence, especially within an educational setting. To explore contributors to racial/ethnic disparities in autism special education eligibility, the current investigation evaluated child and evaluation characteristics as they relate to the absence of autism eligibility. Data were obtained from the Autism and Developmental Disabilities Monitoring (ADDM) Network Study and included children with behavioral characteristics consistent with autism and educational evaluation records. Despite documented characteristics consistent with autism, only 72% of the sample received educational services under autism eligibility. To characterize children without autism eligibility, hierarchical logistic regression was used to evaluate factors documented in evaluation records predicting the absence of autism eligibility. Factors influencing autism eligibility included behavioral characteristics documented, evaluation components completed, intellectual ability, and clinical diagnoses present. There was no unique contribution of race/ethnicity in predicting the absence of autism eligibility when accounting for these previous predictors, but many of these predictors differed by racial/ethnic group. Disproportionality in autism may be the manifestation of inequitable evaluation experiences, including experiencing less comprehensive evaluations, and not receiving an autism specific assessment. Though race/ethnicity did not uniquely contribute to the absence of autism eligibility above and beyond those combined factors, it is important to evaluate and reduce inequities experienced within the autism identification process for populations who are culturally and linguistically minoritized.

The Role of Implementation Climate in Moderating Educator Use of Evidence-Based Practices and Outcomes for Autistic Students

Ensuring effective use of evidence-based practice (EBP) for autism in schools is imperative due to the significantly increasing number of autistic students receiving school services each year. High-quality EBP use has proven challenging in schools. Research indicates implementation climate, or how EBP are supported, rewarded, and valued, and EBP resources are related to successful implementation. However, limited understanding of system-level contextual factors that impact EBP implementation for school-based providers makes development of appropriate implementation supports challenging. Understanding these factors is crucial for selecting and tailoring implementation strategies to support EBP scale up. In this observational study, California school-based providers (n = 1084) completed surveys related to implementation climate, leadership, autism experience and EBP implementation (use, competence, knowledge). Student outcomes included state level academic and behavioral indicators. Using an implementation science framework (Aarons et al., in Administration and Policy in Mental Health and Mental Health Services Research 38:4-23, 2011) and multilevel modeling, we examined the relationship between EBP Implementation and student outcomes and the moderation effects of provider and district level factors. Higher implementation climate predicted better EBP implementation outcomes, and proved more impactful when provider hands-on autism experience was low. Greater EBP resources predicted a higher percentage of students who met math standards only when district poverty level was high. Our findings suggested moderating effects on EBP implementation from both provider and system level factors. Implementation climate and resources may be especially key in addressing equity issues related to high poverty schools in which teachers often have less autism experience.

A Nomogram for Predicting ADHD and ASD in Child and Adolescent Mental Health Services (CAMHS)

Objectives: To enhance the early detection of Attention Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) by leveraging clinical variables collected at child and adolescent mental health services (CAMHS). Methods: This study included children diagnosed with ADHD and/or ASD (n = 857). Three logistic regression models were developed to predict the presence of ADHD, its subtypes, and ASD. The analysis began with univariate logistic regression, followed by a multicollinearity diagnostic. A backward logistic regression selection strategy was then employed to retain variables with p < 0.05. Ethical approval was obtained from the local ethics committee. The models' internal validity was evaluated based on their calibration and discriminative abilities. Results: The study produced models that are well-calibrated and validated for predicting ADHD (incorporating variables such as physical activity, history of bone fractures, and admissions to pediatric/psychiatric services) and ASD (including disability, gender, special education needs, and Axis V diagnoses, among others). Conclusions: Clinical variables can play a significant role in enhancing the early identification of ADHD and ASD.

Longitudinal Follow-Up Study of Social Intervention Outcomes for Children on the Autism Spectrum

A prior randomized trial found a school social intervention yielded significantly better outcomes (social and autism features) immediately following intervention compared to typical school programming (services-as-usual [SAU]) for children on the autism spectrum. In that study, children in the SAU condition subsequently completed a summer social intervention. This study tested longer-term maintenance of effects for children who completed both interventions. A total of 103 children (ages 6-12 years) on the autism spectrum enrolled and 102 completed the initial RCT. Following the summer social intervention, 90 children from the original RCT completed the longer-term follow-up study. In addition to baseline and posttest in the initial RCT, children from both groups were tested at three follow-up points (five total testing points). At the time of first longitudinal follow-up testing, the children were 1.25-4.25 years post-intervention (ages 8-15 years). Longitudinal multilevel model analyses (and follow-up contrasts) revealed significant improvements for both groups post-intervention on measures of emotion recognition, autism features, and social skills, indicating maintenance of post-intervention improvements over the three follow-up testing points. No between-group differences were found for autism features or social skills over time; however, the school social intervention may have yielded somewhat better emotion recognition skills. Exploratory tests found that child IQ, language level, and length of time since completing the intervention did not moderate outcomes. Both social interventions yielded positive and durable longer-term improvements for children on the autism spectrum. [ClinicalTrials.gov, NCT03338530; November 8, 2017; original retrospectively registered trial].

Comparison of Mathematics Problem-Solving Abilities in Autistic and Non-autistic Children: the Influence of Cognitive Profile

This study examines relationships between mathematical problem-solving performance (in terms of strategies used and accuracy) and the main cognitive domains associated with mathematical learning (i.e. executive functions, verbal comprehension and social perception) of children with and without autism spectrum disorder (ASD and non-ASD resp.). The study involved 26 ASD and 26 non-ASD children without intellectual disabilities, between 6 and 12 years old, matched by sex, age and school (grade and classroom). The results show a higher percentage of ASD children with problem solving difficulties than non-ASD (57% vs. 23% resp.). Poor performing ASD children showed comparatively lower scores in inhibition, theory of mind and verbal comprehension. Implications for the design of mathematical interventions for ASD students are discussed.

Longitudinal Impact of the Pandemic on Social Disruption and Loneliness in Autistic and Non-Autistic Youth

OBJECTIVE

The coronavirus pandemic drastically increased social isolation. Autistic youth already experience elevated social isolation and loneliness, making them highly vulnerable to the impact of the pandemic. We examined trajectories of social disruption and loneliness in autistic and non-autistic youth during a six-month period of the pandemic (June 2020 until November 2020).

METHOD

Participants were 76 youth, ages 8 through 17, (Mage = 12.82, Nautistic = 51) with an IQ ≥ 70. Youth completed a biweekly measure of loneliness (Revised UCLA Loneliness Scale) and their parent completed a measure of pandemic-related family social disruption (Epidemic Pandemic Impacts Inventory).

RESULTS

There were no time trends in loneliness across all youth, however, social disruption displayed linear, quadratic, and cubic trends. Non-autistic youth reported relatively greater declines in social disruption compared to autistic youth. Additionally, autistic youth reported relatively greater declines in loneliness relative to non-autistic youth. Greater social disruption was associated with higher loneliness, however, autistic youth demonstrated a relatively stronger relationship between social disruption and loneliness compared to non-autistic youth.

CONCLUSIONS

The current study was one of the first to investigate social disruption and loneliness in autistic youth during the COVID-19 pandemic. Results indicated that autistic youth experienced relative decreases in loneliness during this time, perhaps due to reductions in social demands. Nonetheless, when autistic youth did experience social disruption, they reported relatively higher levels of loneliness. This work contributes to our understanding of risk factors for loneliness and highlights the need to understand the benefits, as well as the challenges, to remote schooling and social interactions.

Implementing the WHO caregivers skills training program with caregivers of autistic children via telehealth in rural communities

Background

For families with autistic children living in rural areas, limited access to services partly results from a shortage of providers and extensive travel time. Telehealth brings the possibility of implementing alternative delivery modalities of Parent Mediated Interventions (PMIs) with the potential to decrease barriers to accessing services. This study aimed to evaluate the feasibility and acceptability of implementing the World Health Organization-Caregivers Skills Training program (WHO-CST) via an online, synchronous group format in rural Missouri.

Methods

We used a mixed methods design to collect qualitative and quantitative data from caregivers and program facilitators at baseline and the end of the program, following the last home visit. Caregivers of 14 autistic children (3-7 years), residents of rural Missouri, completed nine virtual sessions and four virtual home visits.

Results

Four main themes emerged from the focus groups: changes resulting from the WHO-CST, beneficial aspects of the program, advantages and disadvantages of the online format, and challenges to implementing the WHO-CST via telehealth. The most liked activity was the demonstration (36%), and the least liked was the practice with other caregivers. From baseline to week 12, communication skills improved in both frequency (p < 0.05) and impact (p < 0.01), while atypical behaviors decreased (p < 0.01). For caregivers' outcomes, only confidence in skills (p < 0.05) and parental sense of competence (p < 0.05) showed a positive change.

Conclusion

Our results support the feasibility of implementing the WHO-CST program via telehealth in a US rural setting. Caregivers found strategies easy to follow, incorporated the program into their family routines, and valued the group meetings that allowed them to connect with other families. A PMI such as the WHO-CST, with cultural and linguistic adaptations and greater accessibility via telehealth-plays an essential role in closing the treatment gap and empowering caregivers of autistic children.

Iterative redesign of a caregiver-mediated intervention for use in educational settings

LAY ABSTRACT

Teachers often report concerns about behavior challenges in their students with autism spectrum disorder (ASD) in the school setting. Furthermore, teachers often report that they do not have adequate training in how to manage these challenging behaviors effectively. The RUBI program is an intervention initially developed for parents of children with ASD and co-occurring challenging behavior in clinic settings. The present project used school staff input to systematically redesign RUBI to be used with educators in schools. School staff gave input at multiple stages of development to ensure the adapted intervention was appropriate to use in a school setting. Responses were coded and analyzed to identify strengths and weaknesses of the RUBI manual in schools and adaptations were made accordingly. Scores of how appropriate, possible, likable, and usable RUBI would be in schools rose after the intervention was redesigned. The redesigned RUBIES manual may give school staff the tools they need to manage disruptive behaviors. In addition, collaborating with providers over multiple stages to redesign established interventions for new contexts may be a promising way to help bring research tools to practice in the future.

No evidence of a minimal clinically important difference for the Beery-Buktenica Developmental Test of Visual-Motor Integration in children with autism spectrum disorder

The Beery Visual-Motor Integration (VMI) battery of tests are some of the most commonly used assessments in pediatric occupational therapy, often used to measure change over time. However, the minimal clinically important difference (MCID) has not been estimated for interpreting change scores. We estimated the MCID for the Beery VMI battery of tests in children with autism spectrum disorder (ASD). Four occupational therapists collected data in a public elementary school on 64 children with ASD. The Beery VMI battery was administered to children with ASD twice, approximately 11 months apart. To estimate MCID values, Beery VMI battery scores were anchored to 15-point Likert questions measuring occupational therapists’ ratings of functional change over three domains: fine motor skills, handwriting, and activities of daily living (ADLs). Using this anchor-based method, we were unable to estimate MCID values for the Beery VMI battery. Children’s Beery VMI battery scores did not change significantly over the course of the school year, and there was only one weak correlation between VMI battery change scores and therapists’ ratings of change. The inability to estimate Beery VMI battery MCID values for children with ASD adds further support for research cautioning the use of the Beery VMI as an outcome measure.

The relationship between irritability and autism symptoms in children with ASD in COVID-19 home confinement period

OBJECTIVE

This study investigated the impact of COVID-19 home confinement on autism spectrum disorder (ASD) symptoms and irritability in children and adolescents with ASD.

METHOD

The study participants included 46 drug-naive children aged 4-17 years diagnosed with ASD. Parents of the participants completed the Autism Behaviour Checklist (AuBC) and Affective Reactivity Index (ARI) scales for both normal conditions and COVID-19 home confinement.

RESULTS

All subscale scores for AuBC (sensory, relating, body and object use, language, and social and self-help) and ARI scores significantly increased during the COVID-19 home confinement period (P < .05). The participants' irritability and ASD symptoms were significantly worse during the COVID-19 outbreak and home confinement period compared to normal conditions. The variables that predicted irritability were the social and self-help subscales of AuBC.

DISCUSSION

These results have alerted us of the importance of focusing on the symptoms such as irritability exhibited by extremely vulnerable populations during disease outbreaks and of the necessity of developing new strategies to avoid such adverse outcomes in similar situations.

Effect of COVID-19 Stay-at-Home Restrictions on Parent Reported Symptom Severity and Adaptive Functioning of Youth with ASD

This study assessed the potential short-term effects of COVID-19 stay-at-home restrictions on ratings of ASD and comorbid symptoms severity and adaptive functioning of 69 youth, ages 8-16 years with ASD without intellectual disability. Parent/caregiver ratings were being collected in fall and spring over approximately two years when the restrictions were imposed four months prior to the final data collection point. Results indicated no significant changes in parent/caregiver ratings of ASD symptom severity, comorbid symptoms severity, social skills, or adaptive behaviors following the stay-at-home restrictions and little variability across the four data collection points. Although findings suggested minimal short-term effects on these symptoms and adaptive skills, ongoing monitoring is needed to assess longer-term impacts.

Who gains and who loses? Sociodemographic disparities in access to special education services among autistic students

Little is known about differences in the allocation of special education services to students with autism compared with students with other primary learning differences (e.g., intellectual disability [ID], specific learning disability [SLD]) and the comparative impact of sociodemographic factors on special education service receipt. The present study aimed to compare allocation of services (i.e., quantity and types) between students eligible for special education services under autism, SLD and ID, and to identify differences in sociodemographic predictors (e.g., race, neighborhood income) of service allocation. Data were culled from special education administrative records from a large urban, primarily Hispanic, Latino, or Spanish-serving school district from academic years 2011-2012 to 2016-2017. Participants included N = 76,428 students (N_autism  = 18,151, N_SLD  = 54,001, N_ID  = 4,276) ages 2-18. Results showed that autistic students received, on average, more services than students with SLD. Services received by students served under autism and SLD eligibility were more congruent with areas of need (e.g., language, occupational therapy) relative to students served under ID. Student-level socioeconomic status (free and reduced lunch) was more positively predictive of the number of special education services received than the neighborhood income of the school the student attended. Finally, the most significant racial disparities in service allocation were observed among students served under autism eligibility. The present study demonstrates the critical role of economic resources in the quantity and types of services received, and the desirability of a public education for well-resourced families who are possibly best situated to navigate special education services. LAY SUMMARY: An eligibility of autism in special education confers a significant advantage in the number of services a student receives. Disparity in the quantity of special education services exists among autistic students across many sociodemographic factors. Most notably, greater allocation of services to non-Hispanic, Latino, or Spanish, White American, European American, or Middle Eastern American students and students who do not receive free and reduced lunch.

Family and Developmental History of Individuals With Autism Spectrum Disorder: Importance of the Clinical Diagnostic Interview for Diagnosis in Adolescents. An Explorative Study

Background: Diagnosis of autism spectrum disorder (ASD) can be made early in childhood, but also later in adolescence or adulthood. In the latter cases, concerns about an individual's behavior typically lead to consultation of a mental health professional (MHP). As part of the initial clinical examination by the MHP, a clinical diagnostic interview is performed, in order to obtain the patient's history, and may lead to the hypothesis of ASD. We were here interested to study family and developmental history as key parts of the patient's history. The aim of the study was to investigate empirical differences between adolescents with ASD and adolescent control persons in family and developmental history. Method: Clinical diagnostic interview items addressing family and developmental history were adopted from their regular use at several university hospitals and in leading textbooks. Parents of male adolescents with normal intelligence and an ASD diagnosis (n = 67) and parents of male adolescents without psychiatric diagnosis (n = 51) between the age of 12 and 17 years were investigated. Data were operationalized into three categories: 0 = normal behavior, 1 = minor pathological behavior, and 2 = major pathological behavior. Differences were analyzed by multiple t-test of two-way ANOVA. Results: Adolescents with ASD expressed a profile of items significantly differing from control persons. Comparison of significant items with the empirical ASD literature indicated robust accordance. Conclusions: Our findings support the importance and feasibility of the clinical diagnostic interview of family and developmental history for initiation of the diagnostic process of ASD in adolescents.

A Developmental Study of Mathematics in Children with Autism Spectrum Disorder, Symptoms of Attention Deficit Hyperactivity Disorder, or Typical Development

This study examined mathematics achievement in school-aged children with autism spectrum disorder (ASD), symptoms of attention-deficit/hyperactivity disorder (ADHD), or typical development (TD) over a 30-month period and the associations between cognitive and reading abilities with mathematics achievement in children with ASD. Seventy-seven children with ASD without intellectual disability (ASD-WoID), 39 children with ADHD, and 43 children with TD participated in this study. The results revealed that the ASD-WoID and ADHD samples displayed significant and comparable delays in problem solving and calculation abilities. Lower VIQ was related to lower math achievement across all subgroups. The ASD-WoID sample differed from comparison samples in terms of their pattern of mathematical achievement and the role of cognitive abilities in the development of mathematics competence.

Suggesting teaching methods by analyzing the behavior of children with special needs

The behavioral pattern of children with special needs depends on their emotional and developmental disability. Any abnormal and incorrect pattern of behavior which is below the level of development as the expected norm can be considered as “the challenging behavior.” For supporting children with behavioral problems, many interventions and strategies alone, or in combination, are used. Behavioral and developmental problems, if not treated well, in childhood, may cause a problem and have negative long-term and short-term effects on a child’s personal life, education, family, and professional life. Detailed knowledge about the child’s behavior is important to define the problem. Hence, the software contains the questionnaire pattern, which is divided into categories like parents, teachers, doctors, and friends. Child behavior checklist is used to define the questionnaire. Images and video analysis are used to detect the current emotion in the child. By analyzing the behavioral pattern and current emotion, the teaching method will be suggested.