Racial/ethnic disparities in the identification of children with autism spectrum disorders

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.

A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis

OBJECTIVE

This study aimed to develop a novel approach using routinely collected electronic health records (EHRs) data to improve the prediction of a rare event. We illustrated this using an example of improving early prediction of an autism diagnosis, given its low prevalence, by leveraging correlations between autism and other neurodevelopmental conditions (NDCs).

METHODS

To achieve this, we introduced a conditional multi-label model by merging conditional learning and multi-label methodologies. The conditional learning approach breaks a hard task into more manageable pieces in each stage, and the multi-label approach utilizes information from related neurodevelopmental conditions to learn predictive latent features. The study involved forecasting autism diagnosis by age 5.5 years, utilizing data from the first 18 months of life, and the analysis of feature importance correlations to explore the alignment within the feature space across different conditions.

RESULTS

Upon analysis of health records from 18,156 children, we are able to generate a model that predicts a future autism diagnosis with moderate performance (AUROC=0.76). The proposed conditional multi-label method significantly improves predictive performance with an AUROC of 0.80 (p < 0.001). Further examination shows that both the conditional and multi-label approach alone provided marginal lift to the model performance compared to a one-stage one-label approach. We also demonstrated the generalizability and applicability of this method using simulated data with high correlation between feature vectors for different labels.

CONCLUSION

Our findings underscore the effectiveness of the developed conditional multi-label model for early prediction of an autism diagnosis. The study introduces a versatile strategy applicable to prediction tasks involving limited target populations but sharing underlying features or etiology among related groups.

Early Childhood Care Coordination Through 211: A Randomized Clinical Trial

BACKGROUND AND OBJECTIVES

Early intervention services can improve outcomes for children with developmental delays. Health care providers, however, often struggle to ensure timely referrals and services. We tested the effectiveness of telephone-based early childhood developmental care coordination through 211 LA, a health and human services call center serving Los Angeles County, in increasing referral and enrollment in services.

METHODS

In partnership with 4 clinic systems, we recruited and randomly assigned children aged 12 to 42 months with upcoming well-child visits and without a known developmental delay, to intervention versus usual care. All children received developmental screening and usual clinic care. Intervention children also received telephone connection to a 211 LA early childhood care coordinator who made referrals and conducted follow-up. Primary outcomes at a 6-month follow-up included parent-reported referral and enrollment in developmental services. Secondary outcomes included referral and enrollment in early care and education (ECE). Logistic regression models were used to estimate the odds of outcomes, adjusted for key covariates.

RESULTS

Of 565 families (282 intervention, 283 control), 512 (90.6%) provided follow-up data. Among all participants, more intervention than control children were referred to (25% vs 16%, adjusted odds ratio [AOR] 2.25, P = .003) and enrolled in (15% vs 9%, AOR 2.35, P = .008) ≥1 service, and more intervention than control children were referred to (58% vs 15%, AOR 9.06, P < .001) and enrolled in (26% vs 10%, AOR 3.75, P < .001) ECE.

CONCLUSIONS

Telephone-based care coordination through 211 LA is effective in connecting young children to developmental services and ECE, offering a potentially scalable solution for gaps and disparities.

Oral care interventions for autistic individuals: A systematic review

LAY ABSTRACT

Oral care-related challenges are well documented in the autistic community; dental care remains one of the most prevalent unmet health needs among autistic individuals. This review examined interventions designed to improve oral health in autistic individuals from children and adult populations. Through a systematic process, 36 studies were identified. These studies focused on improving home-based oral care skills and routines and reducing fear, anxiety, and/or negative behaviors in the dental clinic. Studies incorporated different types of techniques for facilitating oral care practice, including preparatory interventions to support home-based hygiene activities or improve an approaching dental encounter (n = 29), most often using visual aids, and/or strategies to manage behavioral difficulties exhibited in the dental office (n = 17). Some studies used both approaches (n = 10), combining visual aids prior to a visit with behavior management. Using an evidence-based rubric, we reviewed the methodological quality of the studies and found that most were only "adequate" (n = 8) or "weak" (n = 23) in reporting their evidence. This review has two key findings: (1) there is support for preparatory home-based visual interventions to improve toothbrushing and/or ready patients for dental visits; and (2) distraction or sensory-reducing interventions may also improve experiences in the dental clinic. Only one study purposefully recruited autistic adults, and no studies included intervention elements tailored to race/ethnicity, culture, and/or socioeconomic status. This review highlights the need for more studies investigating the impact of oral care-related interventions for autistic individuals of all ages and identifies a gap in interventions for autistic adults and those from minoritized populations.

Associations Among Race, Ethnicity, and Clinical Profiles of Young Children Evaluated for Autism in the Primary Care Setting

OBJECTIVE

Despite long-standing racial and ethnic disparities in autism spectrum (AS) diagnosis, recent research suggests that overall, greater numbers of Black and Latine children are now diagnosed with AS as compared with non-Latine White (NLW) children in some US regions. However, gaps remain in the equitable detection of Black and Latine children with AS without significant developmental impairment. The objective of this study was to determine whether the clinical profiles of young children evaluated for AS across a statewide system of early autism diagnosis in Indiana vary by race and ethnicity.

METHODS

We examined racial and ethnic differences in: (1) AS symptom severity, (2) developmental functioning, (3) adaptive functioning, and (4) behavior problems in a sample of 147 children, aged 14 to 48 months (M = 2.6 years), referred for AS evaluation.

RESULTS

Clinical profiles of young children evaluated differed significantly by race and ethnicity, with Black and Latine children exhibiting lower developmental (p = 0.008) and adaptive abilities (p = 0.01) and higher AS symptoms (p = 0.03) as compared with NLW children.

CONCLUSION

Potential explanations for findings include racial and ethnic differences in family and community awareness and knowledge about AS and follow-through on evaluation referral, both driven by social determinants of health (SDOH) affecting minoritized children. Bias in screening and assessment instruments and clinician surveillance, screening, and referral practices may also underlie differences in clinical profiles of children evaluated. Future research is needed to understand the SDOH that influence AS detection and diagnosis to improve equitable access to early diagnosis and intervention.

County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States

Prevalence estimates of autism spectrum disorder (ASD) point to geographic and socioeconomic disparities in identification and diagnosis. Estimating national prevalence rates can limit understanding of local disparities, especially in rural areas where disproportionately higher rates of poverty and decreased healthcare access exist. Using a small area estimation approach from the 2016-2018 National Survey of Children's Health (N = 70,913), we identified geographic differences in ASD prevalence, ranging from 4.38% in the Mid-Atlantic to 2.71% in the West South-Central region. Cluster analyses revealed "hot spots" in parts of the Southeast, East coast, and Northeast. This geographic clustering of prevalence estimates suggests that local or state-level differences in policies, service accessibility, and sociodemographics may play an important role in identification and diagnosis of ASD.County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States.

Engagement and Satisfaction With Care Navigation Support Following Telehealth Autism Evaluation

OBJECTIVE

Care navigation support is designed to help connect families with health care resources. Given that children with autism have more unmet needs than their peers, such a service may be especially valuable to families who have recently received a diagnosis. This study sought to examine engagement in care navigation support after an autism telehealth evaluation. Specifically, we report on what demographic and diagnostic factors predicted engagement in care navigation support and satisfaction with this service.

METHODS

Care navigation was offered to 220 families receiving autism telehealth evaluations between April 2020 and April 2022. Survey data from initial evaluation appointments and 2 follow-up care navigation meetings (approximately 1-3 months and approximately 9-12 months after evaluation), along with data from medical records, were collected and analyzed to determine whether any traits predicted engagement in care navigation. Satisfaction with care navigation was also analyzed.

RESULTS

Of 220 families, 48.2% (n = 106) participated in a care navigation meeting within 1 to 3 months after an evaluation and 59.5% (n = 131) participated in at least 1 meeting across 2 time periods. The findings did not support the hypothesis that a diagnosis of autism would predict engagement. Analyses found that child sex (female compared with male) and child race and ethnicity (children of color compared with White children) predicted engagement. For those who engaged in care navigation, high satisfaction was reported.

CONCLUSION

Participants' engagement rates and satisfaction levels suggest care navigation is a valuable service for families after a telehealth autism evaluation.

Predictive Analysis of Parent Activation and Autism

We examined parent activation in families with autistic children over time. Activation is one's belief, knowledge, and persistence in obtaining and managing one's care (e.g., patient activation) and others (e.g., parent activation) and is associated with better outcomes. Four aims were examined: the associations between baseline parent activation and follow up treatment/outcome, between changes in activation and changes in treatment/outcome, differences in activation and treatment/outcome across demographic groups (e.g., gender, race, ethnicity, and income) and comparison of results using three different assessment approaches of parent activation, the Guttman scale (standard approach) and two factor subscales (Yu et al., in J Autism Dev Disord 53:110-120, 2023). The first factor tapped into behaviors aligned with highly active, assertive parental actions (Factor 1: Activated). The second tapped into behaviors representative of uncertainty, passivity, being overwhelmed, with growing awareness of the need for activation (Factor 2: Passive). Findings varied with assessment methods applied. The two subscales assessment approach produced the strongest effect sizes. Baseline activation was related to improved child outcomes at follow-up for Factor 1: Activated and to poorer child outcomes at follow-up for Factor 2: Passive. Changes in activation were unrelated to changes in treatment/outcomes. Outcomes differed based on the activation assessment approach used. Against expectations, activation remained the same over time. Further, no differences in outcomes were observed based on race, ethnicity, or family income. The results suggest that parent activation may behave differently than patient activation based on prior studies. More research is warranted on activation of parents of autistic children.

Reducing Time to Diagnosis of Autism Spectrum Disorder Using an Integrated Community Specialty Care Model: A Retrospective Study

OBJECTIVE

To evaluate a fast-track triage model in an integrated community specialty clinic to reduce the age of diagnosis for patients with autism spectrum disorder (ASD).

STUDY DESIGN

A retrospective chart review was performed for patients seen in an integrated community specialty pediatric practice using a fast-track screening and triage model. The percentage of ASD diagnoses, age at diagnosis, and time from referral to diagnosis were evaluated. The fast-track triage model was compared with national and statewide estimates of median age of first evaluation and diagnosis.

RESULTS

From January 1, 2020, through December 31, 2021, 189 children with a mean (SD) age of 32.2 (12.4) months were screened in the integrated community specialty. Of these, 82 (43.4%) children were referred through the fast-track triage for further evaluation in the developmental and behavioral pediatrics (DBP) department, where 62 (75.6%) were given a primary diagnosis of ASD. Average wait time from referral to diagnosis using the fast-track triage model was 6 months. Mean (SD) age at diagnosis was 37.7 (13.5) months. The median age of diagnosis by the fast-track triage model was 33 months compared with the national and state median ages of diagnosis at 49 and 59 months, respectively.

CONCLUSIONS

With the known workforce shortage in fellowship-trained developmental behavioral pediatricians, the fast-track triage model is feasible and maintains quality of care while resulting in more timely diagnosis, and reducing burden on DBP by screening out cases who did not require further multidisciplinary DBP evaluation as they were appropriately managed by other areas.

Developmental language disorder and neurodiversity: Surfacing contradictions, tensions and unanswered questions

BACKGROUND

Neurodiversity is increasingly discussed in relation to autism research and practice. However, there is a lack of scholarship concerning the neurodevelopmental condition of Developmental Language Disorder (DLD) and the neurodiversity movement. While this movement may hold opportunities for the DLD community, the application of the concept of neurodiversity to DLD research and practice needs consideration, as DLD and autism have very different levels of public and professional awareness and understanding.

AIMS

In this article, we discuss what the concept of neurodiversity and the associated neurodiversity movement could mean for DLD research and practice. We aim to critique some assumptions that may arise from the application of neurodiversity principles (or assumed principles) to the field of DLD.

METHODS

This is a discussion paper, drawing on the personal experiences and reflections of the author team.

MAIN CONTRIBUTIONS

We make the case for why DLD should be included in discussions about neurodivergence and outline considerations for doing so, and why some issues and applications may be particular to DLD. We outline points of similarity and contrast with autism in relation to our understanding of neurodiversity. We consider the issues around diagnosis and terminology and urge practitioners to continue to diagnose DLD using currently agreed terminology, so as not to undermine recent awareness efforts. We note that a neurodiversity-informed perspective challenges us to offer interventions that operate at the level of our environments, not just at the level of an individual. Indeed, neurodiversity offers a platform to argue for better rights and more inclusive spaces in mental health settings, education and work for children and adults with DLD.

CONCLUSIONS

DLD should be considered from a neurodiversity-informed perspective, and it is our hope that this will lead to neurodiversity-affirming practice that will afford young people with DLD better understanding from members of the public and the professionals who work with them. Further work is needed to better support children, young people and adults with DLD to have a voice in the neurodiversity movement.

WHAT THIS PAPER ADDS

What is already known on the subject Neurodiversity approaches are increasingly being taken up in research and practice in relation to autism, meaning that our understanding of autism and how autistic people are supported is increasingly drawing on the principles of neurodiversity. However, autism is not the only neurodivergent population. Developmental Language Disorder (DLD) is another neurodevelopmental condition; however, relative to autism, DLD has lower awareness amongst professionals and the public. There has been no scholarship that has examined DLD through the lens of neurodiversity, or considered the application of neurodiversity-affirming approaches to DLD. What this paper adds to existing knowledge In this paper, we examine what the neurodiversity movement means for DLD research and practice. In particular, we consider what neurodiversity in the field of autism might teach us about the application of neurodiversity in the field of DLD, and highlight where we believe there are important differences between the two populations. We reflect on what neurodiversity means for intervention, diagnosis, terminology and championing the need for accessibility, especially with regard to mental health support, education and employment. What are the potential or actual clinical implications of this work? Neurodiversity highlights the need to consider interventions at the level of an individual's environment (e.g., how can we make this space more inclusive?) as well as interventions operating at the level of the individual themselves (e.g., interventions focusing on an individual's language skills). We challenge the notion that neurodiversity-affirming approaches mean not diagnosing DLD or changing DLD's terminology: we argue that this is not in the spirit of the original neurodiversity movement, but also that for a condition with such low public awareness, these actions could do more harm than good for families affected by DLD. We call for more in-depth scholarship and discussion around the application of neurodiversity approaches to DLD and argue that the neurodiversity movement offers an important opportunity to raise better awareness and understanding of DLD in multiple sectors, including (but not limited to) mental health, education and employment.

Race and Ethnicity Reporting in Occupational Therapy Research Among Autistic Youth

Historically marginalized racial and ethnic groups are underrepresented in autism research broadly; however, patterns of inclusion in occupational therapy research are unknown.In this secondary data analysis, we examined race and ethnicity reporting across articles included in a systematic review of evidence related to occupational therapy practice with autistic individuals <18 years (2013-2021).Two team members reached >90% interrater coding agreement in race and ethnicity reporting across articles in ADLs/IADLs, education/work, play, sleep, and social participation in clinics, homes/communities, and schools.Intervention outcomes of ADL/IADLs (66.7%) and play (66.7%) had low rates of reporting, while social participation in schools (100%) and education/work (100%) had higher rates of reporting. Sample diversity was greatest among research in schools and most limited in clinic-based settings.Systemic racism that limits individuals' participation in occupational therapy research perpetuates racial and ethnic health inequities among autistic children and adolescents.

Racial Differences in the Prevalence of Autism Spectrum Disorder: A Systematic Review

PURPOSE

Racial differences in prevalence rates of autism spectrum disorder (ASD) have shifted in the United States (US) since the 1990s. This review addresses the nature and context of this shift and discusses potential contributing factors and areas for future research.

METHODS

Seventeen population-based epidemiological birth cohort studies on ASD prevalence in the US that included race as a variable are included in the review. Studies were identified via a keyword search on PubMed. To be included, studies were required to include race or ethnicity as a variable in the prevalence estimates, include at least 1000 cases with autism, and be published in English by June 3rd, 2023.

RESULTS

Results suggest that in nearly all birth cohorts prior to 2010, ASD prevalence rates were highest among White children. ASD prevalence rates among Black, Hispanic, and Asian/Pacific Islander (API) children (22.3, 22.5, and 22.2 per 1000, respectively) surpassed prevalence rates among White children (21.2 per 1000) in the 2010 birth cohort and continued to increase in the 2012 birth cohorts.

CONCLUSIONS

There are persistent racial differences in ASD prevalence in the US, and these differences were inverted after 2010, when ASD prevalence among Black, Hispanic, & API children surpassed ASD prevalence among White children. Possible drivers of this racial repatterning of ASD prevalence include changes in ASD screening and diagnosis, changes to health insurance policy, changes to immigration policy, and increased education attainment by minority groups.

Building Better Bridges: Outcomes of a Community-Partnered New School Transition Intervention for Students on the Autism Spectrum

New school transitions can be challenging for students on the autism spectrum. No published, evidence-based interventions exist to support families and teachers of students transitioning to elementary and secondary school during this critical period. Using Community Partnered Participatory Research, we developed Building Better Bridges (BBB), a caregiver coaching intervention that includes training on effective school communication, educational rights, advocacy, and child preparation strategies. We compared BBB (n = 83) to a module/resources-only comparison (n = 87) in a four-site randomized controlled trial in racially and ethnically diverse, under-resourced communities. In our intent-to-treat analysis, caregivers and teachers in BBB rated students' transitions to the new classroom as more positive, relative to the comparison group. Results suggest this low-cost intervention can improve the transition process for families and students at high risk of poor transitions.

Experiences of racism and racial disparities in health care among children and youth with autism and their caregivers: a systematic review

PURPOSE

Although the health benefits of early diagnosis and therapeutic approaches for children and youth with autism spectrum disorder (ASD), racial disparities persist. This systematic review explored the experiences of racism and racial disparities in health care among children and youth with ASD and their caregivers.

METHODS

We conducted a systematic review, drawing on six international databases. Two reviewers screened titles, abstracts, and full texts. Thirty-seven studies met our inclusion criteria and we applied a narrative synthesis to develop themes.

RESULTS

Four themes were identified: (1) experiences and aspects of racism and racial disparities (i.e., language and cultural barriers, poor quality health care interactions, stereotypes and discrimination, family and community stigma, and indirect barriers); (2) racial disparities in health care (i.e., screening and referral, diagnosis, health care services, and care coordination and medication); (3) facilitators to accessing health care services; and (4) recommendations from caregivers.

CONCLUSIONS

This review highlights the extensive racial disparities experienced by children with autism. More research is needed to explore youth's perspectives on racism in addition to exploring potential interventions to address racial disparities and improve health equity for youth with ASD.

A transdiagnostic examination of cognitive heterogeneity in children and adolescents with neurodevelopmental disorders

Children and adolescents with neurodevelopmental disorders demonstrate extensive cognitive heterogeneity that is not adequately captured by traditional diagnostic systems, emphasizing the need for alternative assessment and classification techniques. Using a transdiagnostic approach, a retrospective cohort study of cognitive functioning was conducted using a large heterogenous sample (n = 1529) of children and adolescents 7 to 18 years of age with neurodevelopmental disorders. Measures of short-term memory, verbal ability, and reasoning were administered to participants with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), comorbid ADHD/ASD, and participants without neurodevelopmental disorders (non-NDD) using a 12-task, web-based neurocognitive testing battery. Unsupervised machine learning techniques were used to create a self-organizing map, an artificial neural network, in conjunction with k-means clustering to identify data-driven subgroups. The study aims were to: 1) identify cognitive profiles in the sample using a data-driven approach, and 2) determine their correspondence with traditional diagnostic statuses. Six clusters representing different cognitive profiles were identified, including participants with varying forms of cognitive impairment. Diagnostic status did not correspond with cluster-membership, providing evidence for the application of transdiagnostic approaches to understanding cognitive heterogeneity in children and adolescents with neurodevelopmental disorders. Additionally, the findings suggest that many typically developing participants may have undiagnosed learning difficulties, emphasizing the need for accessible cognitive assessment tools in school-based settings.

Diversity of Research Participant Gender, Race, and Ethnicity in Communication Sciences and Disorders: A Systematic Review and Quantitative Synthesis of American Speech-Language-Hearing Association Publications in 2020

Purpose

One manifestation of systemic inequities in communication sciences and disorders (CSD) is the chronic underreporting and underrepresentation of sex, gender, race, and ethnicity in research. The present study characterized recent demographic reporting practices and representation of participants across CSD research.

Methods

We systematically reviewed and extracted key reporting and participant data from empirical studies conducted in the United States (US) with human participants published in the year 2020 in journals by the American Speech-Language-Hearing Association (ASHA; k = 407 articles comprising a total n = 80,058 research participants, search completed November 2021). Sex, gender, race, and ethnicity were operationalized per National Institutes of Health guidelines (National Institutes of Health, 2015a, 2015b).

Results

Sex or gender was reported in 85.5% of included studies; race was reported in 33.7%; and ethnicity was reported in 13.8%. Sex and gender were clearly differentiated in 3.4% of relevant studies. Where reported, median proportions for race and ethnicity were significantly different from the US population, with underrepresentation noted for all non-White racial groups and Hispanic participants. Moreover, 64.7% of studies that reported sex or gender and 67.2% of studies that reported race or ethnicity did not consider these respective variables in analyses or discussion.

Conclusion

At present, research published in ASHA journals frequently fails to report key demographic data summarizing the characteristics of participants. Moreover, apparent gaps in representation of minoritized racial and ethnic groups threaten the external validity of CSD research and broader health care equity endeavors in the US. Although our study is limited to a single year and publisher, our results point to several steps for readers that may bring greater accountability, consistency, and diversity to the discipline.

Exploring Racial and Ethnic Differences in Parent-Reported Strengths in Children with Autism Spectrum Disorder

BACKGROUND

Several studies have demonstrated racial/ethnic differences in parental concerns in children with autism spectrum disorder (ASD). However, no studies have investigated racial/ethnic differences in parent-reported strengths. The purpose of this study was to explore racial/ethnic differences in parent-reported strengths in children with ASD.

DESIGN AND METHODS

This was a retrospective cross-sectional study investigating the relationship between parent-reported strengths and race/ethnicity at the time of an ASD diagnosis. Parent-reported strengths were qualitatively clustered into themes, and theme frequencies were quantitatively examined for relationships to race/ethnicity.

RESULTS

Parents of Caucasian children reported a mean of 5.00 (SD = 2.17) total strengths compared to 3.75 (SD = 2.32) among Hispanic/Latinx children, 3.36 (SD = 1.43) among Asian/PI children, and 3.91 (SD = 2.05) among children from other races/ethnicities. Bivariate linear regression analyses indicated that Asian/PI, Hispanic, and other child race/ethnicity, compared to Caucasian child race/ethnicity, were associated with significantly fewer parent-reported total strengths. Asian/PI and Hispanic child race/ethnicity were associated with significantly fewer personality strengths, while maternal education was associated with a greater number of personality strengths.

CONCLUSION

This study found racial and ethnic differences in parent-reported strengths in children with ASD. Further, higher levels of maternal education influenced total, personality, and behavioral strengths. Receipt of a greater number of child services was also associated with a greater number of behavioral strengths.

Unpacking the prevalence: A warning against overstating the recently narrowed gap for Black autistic youth

Recent findings from the Centers for Disease Control and Prevention's (CDC) Autism and Developmental Disabilities Monitoring (ADDM) Network's 2020 prevalence report indicate that disparities in autism diagnoses between Black and White youth have narrowed, reflecting improved screening, awareness, and access to services (Maenner et al., 2023. Morbidity and Mortality Weekly Report. Surveillance Summaries (Washington, D.C.: 2002), 72, 1-14.). Claims of reducing disparities beyond prevalence rates, however, are not fully supported, as indicated by the reality that Black youth whose screenings indicate autistic traits are still not being referred for full evaluation or early intervention services at the same rate as their White peers (Major et al., 2020. Autism, 24, 1629-1638; Smith et al., 2020. Pediatrics, 145, S35-S46.). Black 8-year-olds identified as autistic still experience disparate educational placements (Waitoller et al., 2010. The Journal of Special Education. 44, 29-49.) where services may not be autism-specific or have Individual Education Plan goals only focused on "behavior problems" (Severini et al., 2018. Journal of Autism and Developmental Disorders, 48, 3261-3272.), are served in the most restrictive environments (Skiba et al., 2006. Exceptional Children, 72, 411-424.) and lack consistent augmentative and alternative communication support (Pope et al., 2022. American Journal of Speech-Language Pathology, 31, 2159-2174.). Additionally, ADMM researchers report consistent disparities in the identification of co-occurring intellectual disability where Black autistic children have significantly more co-occurrences than White autistic children. The purpose of this commentary is to first examine the assertion that the narrowed gap indicates, "…improved…access to services among historically underserved groups," (p. 9) (Maenner et al., 2023. Morbidity and Mortality Weekly Report. Surveillance Summaries (Washington, D.C.: 2002), 72, 1-14.). We will then recommend strategies to address the ongoing disparities.

A transdiagnostic approach to neurodiversity in a representative population sample: The N+ 4 model

Background

The concept of neurodiversity draws upon scientific research, and lessons from practice and lived experience to suggest new ways of thinking about neurodevelopmental conditions. Among the formative observations are that characteristics associated with neurodevelopmental conditions are part of a "broader phenotype" of variation across the whole population, and that there appear to be "transdiagnostic" similarities as well as differences in these characteristics. These observations raise important questions that have implications for understanding diversity in neurodevelopmental conditions and in neurocognitive phenotypes across the whole population.

Method

The present work examines broader phenotypes using seven widely used self-report assessments of traits associated with autism, ADHD, dyslexia, Developmental Coordination Disorder/dyspraxia, tic disorders/Tourette's, cortical hyperexcitability associated with subclinical epilepsy, and sensory sensitivities. A representative sample of 995 adults (aged 17-77) in the UK completed self-report measures of neurodiversity, wellbeing, generalized anxiety, and depression, and cognitive abilities (nonverbal intelligence and executive functioning).

Results

We used confirmatory factor analysis to test whether variation and covariation was better characterized (1) by traditional diagnostic labels, or (2) transdiagnostically according to similarities in functions, behaviours, or phenomena. Results indicated that neurodiversity characteristics were best explained using a bifactor model with one general "N" factor and four condition-specific factors.

Conclusion

This was the largest examination to date of the factor structure of broader phenotypes relevant to neurodevelopmental conditions. It provides critical benchmark data, and a framework approach for asking systematic questions about the structure of neurocognitive diversities seen in the whole population and in people with one or more diagnoses.

Differential Performance of Social Communication Questionnaire Items in African American/Black vs. White Children

Screening for autism spectrum disorder (ASD) is an essential early step in the identification process and inaccurate screening may lead to significant delays in the onset of treatment. Past research has highlighted discrepancies in the performance of ASD screening tools such as the Social Communication Questionnaire (SCQ) among certain racial and ethnic groups. The current study explored the functioning of the SCQ among African American/Black and White respondents based on item level performance on the measure. Differential Item Functioning (DIF) analyses showed that 16 (41%) items of the SCQ functioned differently for African American/Black respondents when compared to White respondents. Implications, such as the potential for delayed diagnosis and treatment, and the influence on downstream outcomes, are discussed.

Views of Genetic Testing for Autism Among Autism Self-Advocates: A Qualitative Study

BACKGROUND

Autism self-advocates' views regarding genetic tests for autism are important, but critical questions about their perspectives arise.

METHODS

We interviewed 11 autism self-advocates, recruited through autism self-advocacy websites, for 1 h each.

RESULTS

Interviewees viewed genetic testing and its potential pros and cons through the lens of their own indiviudal perceived challenges, needs and struggles, especially concerning stigma and discrimination, lack of accommodations and misunderstandings from society about autism, their particular needs for services, and being blamed by others and by themselves for autistic traits. Their views of genetic testing tended not to be binary, but rather depended on how the genetic test results would be used. Interviewees perceived pros of genetic testing both in general and with regard to themselves (e.g., by providing "scientific proof" of autism as a diagnosis and possibly increasing availability of services). But they also perceived disadvantages and limitations of testing (e.g., possible eugenic applications). Participants distinguished between what they felt would be best for themselves and for the autistic community as a whole. When asked if they would undergo testing for themselves, if offered, interviewees added several considerations (e.g., undergoing testing because they support science in general). Interviewees were divided whether a genetic diagnosis would or should reduce self-blame, and several were wary of testing unless treatment, prevention or societal attitudes changed. Weighing these competing pros and cons could be difficult.

CONCLUSIONS

This study, the first to use in-depth qualitative interviews to assess views of autism self-advocates regarding genetic testing, highlights key complexities. Respondents felt that such testing is neither wholly good or bad in itself, but rather may be acceptable depending on how it is used, and should be employed in beneficial, not harmful ways. These findings have important implications for practice, education of multiple stakeholders, research, and policy.

Mental Health Crises in Autistic Children: A Framework for Prevention and Intervention in Primary Care

Children with autism are at high risk for experiencing a mental health crisis, which occurs when psychiatric and behavioral symptoms become a danger and caregivers do not have the resources to safely manage the event. Our current mental health systems of care are not fully prepared to manage crisis in autistic individuals, due to the shortage of available mental health providers and programs that are tailored for autistic children. However, new strategies to address crisis are gradually emerging. This article provides a framework to define crisis and implement prevention and intervention approaches that could potentially mitigate risk for crisis.

Ethnic Group Differences in the Timing of Autism Diagnosis, Intellectual Disability, and Educational Placement of Autistic Children in Singapore

AIM

Given Singapore's distinct multicultural identity, this study examined the hypotheses that there may be ethnic group differences in diagnosis and outcomes in autistic children in Singapore.

METHODS

Retrospective data were obtained from medical records of all children born between 2008 and 2011 who were diagnosed with clinical or confirmed autism. One-way ANOVAs and regression analyses were used to analyze data.

RESULTS

Data from 2577 medical records were extracted. There were more boys (82.5%) and ethnic group distribution was Chinese (67%), Malay (14%), Indian (10%), and Others (10%). Chinese children were more likely to present at a developmental clinic with concerns 3-4 months younger compared to Malay children and those from Other Races (F(3, 2038) = 9.58, p < .001, Cohen's F = 0.12). Chinese children were also more likely to receive an autism diagnosis approximately 3 months younger compared to Malay children. Fewer autistic Chinese children were diagnosed with co-occurring intellectual disability (13.1%) while there were almost twice more Malay children than expected with co-occurring intellectual disability (29.9%) (χ2 (3) = 55.17, p < .001). There are correspondingly more Malay children on the autism spectrum who attend special education schools. Possible confounding variables such as household income level and mother's level of education were identified in some of these findings.

CONCLUSION

Several significant ethnic group differences in autistic children in Singapore exist that warrant more investigation into possible causes and support systems needed, with implications for other ethnically diverse nations.

Racial and ethnic disparities in psychological care for individuals with FASD: a dis/ability studies and critical race theory perspective toward improving prevention, assessment/diagnosis, and intervention

Fetal alcohol spectrum disorders (FASD) are among the most common neurodevelopmental disorders and substantially impact public health. FASD can affect people of all races and ethnicities; however, there are important racial and ethnic disparities in alcohol-exposed pregnancy prevention, assessment and diagnosis of FASD, and interventions to support individuals with FASD and their families. In this article we use the Dis/Ability Studies and Critical Race Theory (Dis/Crit) framework to structure the exploration of disparities and possible solutions within these three areas (prevention, diagnosis, intervention). Dis/Crit provides a guide to understanding the intersection of dis/ability and race, while framing both as social constructs. Following the Dis/Crit framework, the systemic, historical, and contemporary racism and ableism present in psychological care is further discussed. We aim to elucidate these racial and ethnic disparities within the fields of psychology and neuropsychology through the Dis/Crit framework and provide potential points of action to reduce these disparities.

A US national update of health condition prevalence among privately-insured autistic adults

Aim: Previous research using state or regional samples has shown that autistic adults have a higher prevalence of health conditions in comparison to the general population. Methods: To build upon this important previous research, we conducted a cross-sectional retrospective study of 2019-2020 healthcare claims to determine the prevalence of conditions in a US national sample of privately insured autistic adults (n = 30,258) and an age- and sex-matched population comparison (n = 60,516) group of adults without autism diagnoses. Results: Like previous studies, we found that autistic adults had significantly greater odds of most mental and physical health conditions. However, our prevalence estimates differed from previous studies for several mental and physical health conditions. For example, our sample of autistic adults had higher prevalence of anxiety disorders (55%) and attention deficit hyperactivity disorders (34%), but lower prevalence of asthma (9%) and sleep disorders (3%) than previous studies. Discussion & conclusion: Our use of a large US national sample, more recent healthcare claims data, and different methods for identifying health conditions may have contributed to these differences. Our findings alert healthcare providers and policymakers to the health conditions most common among the growing population of autistic adults. We hope these findings lead to improved screening and management of these conditions, inform initiatives to improve access to healthcare, and guide future funding.

Racial and ethnic disparities in the co-occurrence of intellectual disability and autism: Impact of incorporating measures of adaptive functioning

Intellectual disability (ID) commonly co-occurs in children with autism. Although diagnostic criteria for ID require impairments in both cognitive and adaptive functioning, most population-based estimates of the frequency of co-occurring ID in children with autism-including studies of racial and ethnic disparities in co-occurring autism and ID-base the definition of ID solely on cognitive scores. The goal of this analysis was to examine the effect of including both cognitive and adaptive behavior criteria on estimates of co-occurring ID in a well-characterized sample of 2- to 5-year-old children with autism. Participants included 3264 children with research or community diagnoses of autism enrolled in the population-based Study to Explore Early Development (SEED) phases 1-3. Based only on Mullen Scales of Early Learning (MSEL) composite cognitive scores, 62.9% (95% confidence interval [CI]: 61.1, 64.7%) of children with autism were estimated to have co-occurring ID. After incorporating Vineland Adaptive Behavior Scales, Second Edition (VABS-II) composite or domains criteria, co-occurring ID estimates were reduced to 38.0% (95% CI: 36.2, 39.8%) and 45.0% (95% CI: 43.1, 46.9%), respectively. The increased odds of meeting ID criteria observed for non-Hispanic (NH) Black and Hispanic children relative to NH White children when only MSEL criteria were used were substantially reduced, though not eliminated, after incorporating VABS-II criteria and adjusting for selected socioeconomic variables. This study provides evidence for the importance of considering adaptive behavior as well as socioeconomic disadvantage when describing racial and ethnic disparities in co-occurring ID in epidemiologic studies of autism.

Accuracy of initial diagnostic impressions of autism in toddlers and behaviors that inform these impressions

Clinicians form initial impressions about a child's diagnosis based on behavioral features, but research has not yet identified specific behaviors to guide initial diagnostic impressions. Participants were toddlers (N = 55, mean age 22.9 months) from a multi-site early detection study, referred for concern for ASD due to screening or parent/provider concern. Within 5 min of meeting a child, clinicians noted ASD or non-ASD impression, confidence in impression, and behaviors that informed their impression. These clinicians also determined final diagnoses for each child. When a child's final diagnosis was ASD (n = 35), senior clinicians formed an initial impression of ASD in 22 cases (63%) but missed 13 cases (37%). When final diagnosis was non-ASD (n = 20), senior clinicians made an initial impression of non-ASD in all cases (100%). Results were similar among junior clinicians. Senior and junior clinicians used the same behaviors to form accurate impressions of ASD and non-ASD: social reciprocity, nonverbal communication, and eye contact. Senior clinicians additionally used focus of attention when forming accurate impressions of ASD and non-ASD; junior clinicians used this behavior only when forming accurate non-ASD impressions. Clinicians' initial impressions of ASD are very likely to be consistent with final diagnoses, but initial impressions of non-ASD need follow-up. Toddlers who show all four atypical behaviors (social reciprocity, nonverbal communication, eye contact, and focus of attention) might receive expedited ASD diagnoses. However, presence of apparently typical behaviors should not rule out ASD; for some children a longer evaluation is necessary to allow for more opportunities to observe subtle social behavior.

A Systematic Literature Review of Racial Disproportionality in Autism in the U.S

In recent years, the Autism and Developmental Disabilities Monitoring Network has observed a shift in racial disparities in autism. To delineate the historical shift of racial disproportionality in US autism prevalence, our literature review examines three key topics: publication trends concerning racial disproportionality in autism, discernible national and state-level patterns, and underlying factors contributing to the disproportionality. Using the PRISMA framework, we synthesized 24 empirical studies on racial disproportionality in autism and its change over time. These studies explored national patterns and spatiotemporal variations to provide a comprehensive understanding of racial disparities in autism. Studies indicated similar national patterns for Black and Asian racial groups; both groups had had mixed results around the turn of the millennium. By 2007, the Asian group was overrepresented again. Hispanic and Native American groups have consistently been underrepresented. However, significant spatiotemporal variations were found, suggesting that these disparities might reflect inherent inequalities within the current identification and classification system. The patterns of racial disproportionality in autism seem to be influenced by numerous factors. These include varying state definitions of autism, disparities in resource distribution, differences in symptom recognition across cultures, service preferences, cultural mismatches between professionals and families, and prevailing biases and stigmas, as revealed by the reviewed studies. These findings prompt a closer look into the causes and implications of these disparities, offering the underlying issues within the current diagnostic system and highlighting the need for further research to ensure equal educational opportunities regardless of disabilities and race/ethnicity.

Mixed-Methods Examination of Adolescent-Reported Barriers to Accessing Mental Health Services

PURPOSE

Many adolescents struggle to access the mental healthcare they need. To increase access to mental health services, we must have a clear understanding of the barriers adolescents face from their own perspectives. This online mixed-methods study aimed to enhance understanding of access barriers by centering the perspectives of diverse adolescents who had recently tried and failed to access mental health support.

METHODS

In this convergent parallel mixed-methods study, adolescents responded to a preintervention, open-ended question about barriers they have faced to accessing mental health services when they needed them and shared information about their background and depressive symptoms. Barriers were assessed using inductive, conventional content analysis. Quantitative analyses examined barrier differences across sociodemographic groups.

RESULTS

All adolescents (aged 11-17 years, 50% racially minoritized youth, 15% gender diverse youth, 64% LGBTQ + youth; 78% with clinically elevated depressive symptoms) reported at least one barrier to accessing mental health support, and 20% reported multiple barriers. Content analysis revealed 13 barrier categories, with parent-related barriers (three different categories) accounting for 32% of all barriers. The most common barrier categories related to personal and financial constraints. Asian adolescents, adolescents who were aged 17 years or more, and adolescents who reported uncertainty of their gender identity endorsed the numerically highest mean number of barriers to accessing mental health support.

DISCUSSION

High-symptom adolescents reported myriad barriers to accessing mental health support, with 32% of all barriers related to parents.

A Review of the Literature on the Multiple Forms of Stigmatization of Caregivers of Children with Autism Among Ethnic Minority Groups

Multiple forms of stigmatization are experienced by caregivers of children with autism among ethnic minority (EM) groups in various countries. Such forms of stigmatization can lead to delayed assessment and services for mental health among children and caregivers. This review identified the research literature on the types of stigmatization experienced by caregivers of children with autism with an EM background. A total of 19 studies published after 2010 (i.e., 12 from the USA, 2 from the UK, 1 from Canada, and 1 from New Zealand) of caregivers of 20 ethnicities were identified and reviewed, and their reporting qualities systematically also assessed. Four main themes: (1) self-stigma, (2) social stigma, (3) stigma towards EM parents of children on the autism spectrum, and (4) service utilization stigma, and nine sub-themes were identified. The discrimination experienced by caregivers were extracted, synthesized, and further discussed. While the reporting quality of the studies included is good, the depth of the understanding of this under-researched yet important phenomenon is very limited. The multiple forms of stigmatization experiences are complex, and it may be difficult to disentangle whether the causes of stigmatization were autism and/or EM related, and the types of stigmatization can vary enormously among different ethnic groups in different societies. More quantitative studies are needed to quantify the impacts of multiple forms of stigmatization on families of children with autism in EM groups so that more socially inclusive support for caregivers with an EM background in host countries can be developed.

Reaching "The Other Half": Teacher Referral Increases Inclusivity in Intervention Research for Neurodivergent School-Age Children

OBJECTIVE

Researchers employed two recruitment strategies in a school-based comparative effectiveness trial for students with a diagnosis of attention-deficit/hyperactivity disorder (ADHD) or autism. This study assessed the: 1) effectiveness of school-based referrals for identifying students meeting diagnostic criteria and 2) impact of eliminating requirements for existing diagnoses on recruitment, sample characteristics, and intervention response.

METHOD

Autistic students and students with ADHD in schools serving underresourced communities were recruited for an executive functioning (EF) intervention trial over 2 years. In Year 1, school staff nominated students with previous diagnoses. In Year 2, school staff nominated students demonstrating EF challenges associated with ADHD or autism; previous diagnosis was not required. Study staff then confirmed diagnoses.

RESULTS

More students were included in Year 2 (N = 106) than Year 1 (N = 37). In Year 2, 96% of students referred by school staff met diagnostic criteria for ADHD or autism, 53% of whom were not previously diagnosed. Newly identified students were less likely than previously diagnosed students to be receiving services and, for those with ADHD, were more likely to speak primarily Spanish at home. Previously diagnosed and newly identified students did not differ on other demographic variables or intervention response. Caregivers of previously diagnosed students reported more symptoms than caregivers of newly identified students for both diagnostic groups. Previously diagnosed students with ADHD had more researcher-rated symptoms than newly identified students.

CONCLUSIONS

Recruitment for an intervention study using behavior-based referrals from school staff enhanced enrollment without compromising the sample's diagnostic integrity and engaged children who otherwise would have been excluded.

Understanding profound autism: implications for stigma and supports

Introduction

Societal perceptions and lack of understanding of autism spectrum disorder can be stigmatizing for autistic individuals and their families. This may be particularly the case for individuals who meet criteria for profound autism. Despite the considerable service needs of this marginalized group, there is little data on the prevalence of profound autism, nor on the experiences of those with profound autism and their families.

Methods

The current study leveraged a mixed-methods approach to address these gaps. First, the prevalence of profound autism was examined in six samples-three from the United States and three from Western Europe. Second, inductive thematic analysis was used to code interviews from 20 caregivers of profoundly autistic adults.

Results

The prevalence of profound autism varied widely across the six samples-from 11% to 48%. There were also notable differences between samples in prevalence by gender, race, and ethnicity. Two overarching themes were identified via inductive thematic analysis: Community Perceptions of Autism and Family Support Needs and Advocacy Challenges. Though caregivers were not directly asked about stigmatization during interviews, 85% of caregivers reported at least one instance of perceived stigma.

Discussion

Future research should continue to examine the unique needs and stigmatization experiences of profoundly autistic individuals and their families across the life course.

Age of autism diagnosis in Latin American and Caribbean countries

LAY ABSTRACT

An earlier diagnosis of autism spectrum disorder might lead to earlier intervention. However, people living in Latin American and Caribbean countries do not have much knowledge about autism spectrum disorder symptoms. It has been suggested that the older a child is when diagnosed, the fewer opportunities he or she will have to receive services. We asked 2520 caregivers of autistic children in six different Latin America and Caribbean Countries, the child's age when they noticed some developmental delays and their child's age when they received their first autism spectrum disorder diagnosis. Results indicate that, on average, caregivers were concerned about their child's development by 22 months of age; however, the diagnosis was received when the child was 46 months of age. In addition, older children with better language abilities and public health coverage (opposed to private health coverage) were diagnosed later. On the contrary, children with other medical problems and more severe behaviors received an earlier diagnosis. In our study, children were diagnosed around the time they entered formal schooling, delaying the access to early intervention programs. In summary, the characteristics of the autistic person and the type of health coverage influence the age of diagnosis in children living in Latin America and Caribbean Countries.

Diagnostic Evaluation of Autism Spectrum Disorder in Pediatric Primary Care

BACKGROUND AND OBJECTIVES

Children with autism spectrum disorder (ASD) continue to experience significant delays in diagnosis and interventions. One of the main factors contributing to this delay is a shortage of developmental-behavioral specialists. Diagnostic evaluation of ASD by primary care pediatricians (PCPs) has been shown to be reliable and to decrease the interval from first concern to diagnosis. In this paper, we present the results of a primary care ASD diagnosis program in which the PCP serves as the primary diagnostician and leverages the infrastructure of the primary care medical home to support the child and family during the pre- and post-diagnostic periods, along with data on parental satisfaction with this model.

METHODS

Retrospective data from a cohort of patients evaluated through this program were analyzed to determine the mean age at diagnosis and interval from referral for evaluation to diagnosis. We used survey methodology to obtain data from parents regarding their satisfaction with the process.

RESULTS

Data from 8 of 20 children evaluated from April 2021 through May 2022 showed a median age of diagnosis of 34.5 months compared to the national average of 49 months. Mean interval from referral for evaluation to diagnosis was 3.5 months. Parental survey responses indicated high satisfaction.

CONCLUSIONS

This model was successful in shortening the interval from referral to diagnosis resulting in significant decrease of age at diagnosis compared with the national average. Widespread implementation could improve access to timely diagnostic services and improve outcomes for children with ASD.

Physical and Pharmacologic Restraint in Hospitalized Children With Autism Spectrum Disorder

OBJECTIVES

Children with autism spectrum disorder (ASD) have high rates of cooccurring conditions and are hospitalized longer and more frequently than children without ASD. Little is known about use of involuntary physical or pharmacologic restraint in hospitalized children with ASD. This study compares use of restraint because of violent or self-injurious behavior during inpatient pediatric hospitalization in children with ASD compared with typical peers.

METHODS

This retrospective cohort study examines electronic health records of all children aged 5 to 21 years admitted to a pediatric medical unit at a large urban hospital between October 2016 and October 2021. Billing diagnoses from inpatient encounters identified ASD and cooccurring diagnoses. Clinical orders identified physical and pharmacologic restraint. Propensity score matching ensured equivalency between ASD and matched non-ASD groups on demographic factors. Logistic regression determined the odds of restraint in children with ASD compared with children without ASD, controlling for hospitalization factors and cooccurring diagnoses.

RESULTS

Of 21 275 hospitalized children, 367 (1.7%) experienced restraint and 1187 (5.6%) had ASD. After adjusting for reason for admission, length of stay, and cooccurring mental health, developmental, and behavioral disorders, children with ASD were significantly more likely to be restrained than children without ASD (odds ratio 2.3, 95% confidence interval 1.6-3.4; P < .001).

CONCLUSIONS

Hospitalized children with ASD have significantly higher odds of restraint for violent or self-injurious behavior compared with children without ASD after accounting for reason for admission, length of hospitalization and cooccurring diagnoses. Work is needed to modify the hospital environment for children with ASD to reduce behavioral dysregulation and restraint.

Impact of Receiving Genetic Diagnoses on Parents' Perceptions of Their Children with Autism and Intellectual Disability

To assess whether genetic test results identifying the cause of a child's autism, when accompanied by other neurodevelopmental disorders (NDD), including intellectual disability, alter how parents perceive and treat their child. 28 parents of 22 individuals with autism (mean age: 15 years), usually with other NDDs, were interviewed after receiving genetic diagnoses indicating a de novo mutation through the Simons Foundation Powering Autism Research for Knowledge study. Diagnosis of a de novo genetic variant can alter parental perceptions of offspring with autism and other NDDs. Parents often blamed their child less, saw their child as less in control of symptoms, and developed more patience, framing expectations accordingly. Parents had mixed feelings about receiving genetic diagnoses, with sadness sometimes accompanying reframed expectations. Genetic diagnoses could change views of the child among extended family members, teachers, social service agencies, insurers, and broader communities and society. Genetic testing might also reduce delays in diagnoses of autism among African American, Latino and other children. These data, the first to examine several critical aspects of how parents and others view children with autism and other NDDs after receiving genetic diagnoses, highlight vital needs for education of multiple stakeholders (including geneticists, other physicians, genetic counselors, parents, individuals with autism, social service agencies, insurers, policymakers, and the broader public), research (to include perspectives of extended family members, insurers, social service agencies and teachers) and practice (to increase recognition and awareness of the potential benefits and effects of genetic testing for such children).

Culture and Language Inclusion in the Practice of Applied Behavior Analysis: Next Steps for Improving Outcomes for Autistic Clients

As applied behavior analysis (ABA) is widely prescribed as an intervention for autistic children, ABA practitioners must have a thorough understanding of the impact of language and culture on the individuals and families they serve. The twin purposes of this article are to discuss cultural humility in ASD service delivery, and to provide an overview of practice parameters for the expansion of equity and inclusion. These efforts are guided by the National Standards for Culturally and Linguistically Appropriate Services (CLAS) in Health and Health Care. Readers will be provided with recommendations for incorporating culturally and linguistically appropriate services into training, practice, and supervision in ABA settings.

Prevalence of Autism Among Medicaid-Enrolled Adults

Importance

The reported prevalence of autism in children has consistently risen over the past 20 years. The concurrent implications for the adult Medicaid system, which insures autistic adults due to low income or disability, have not been studied.

Objective

To estimate the prevalence of adults identified as autistic in Medicaid claims data and to examine the prevalence by year, age, and race and ethnicity to understand enrollment patterns.

Design, Setting, and Participants

This cohort study used data from a longitudinal Medicaid claims cohort of enrollees aged 18 years or older with a claim for autism at any point from January 1, 2011, to December 31, 2019, and an approximately 1% random sample of all adult Medicaid enrollees. The data were analyzed between February 22 and June 22, 2023.

Exposure

Adults enrolled in Medicaid with a claim for autism.

Main Outcome and Measures

Prevalence of autism per 1000 Medicaid enrollees for each year was calculated using denominator data from the Centers for Medicare & Medicaid Services weighted to nondisabled population demographic characteristics. Prevalence by race and ethnicity were calculated for study year 2019.

Results

Across 9 years, 403 028 unique adults had autism claims in their Medicaid records (25.7% female, 74.2% male, 3.3% Asian, 16.8% Black, 12.2% Hispanic, 0.8% Native American, 0.8% Pacific Islander, 74.3% White, and 4.2% of multiple races). Across all ages, autism prevalence increased from 4.2 per 1000 enrollees in 2011 to 9.5 per 1000 enrollees in 2019. The largest increase over the 9 years was in the 25- to 34-year age group (195%), and the smallest increase was in the 55- to 64-year age group (45%). The prevalence of White enrollees was at least 2 times that of the prevalence of every other racial group in all age categories.

Conclusions and Relevance

The study findings suggest that despite difficulties in identifying autism in adults, there is a considerable and growing population of autistic adults enrolled in Medicaid. As children on the autism spectrum become autistic adults, Medicaid is an important insurance provider for an increasing number of autistic adults and can be a valuable resource for understanding the health of the autistic population.

The Prevalence and Characteristics of Children With Profound Autism, 15 Sites, United States, 2000-2016

OBJECTIVES

Autism spectrum disorder (autism) is a heterogeneous condition that poses challenges in describing the needs of individuals with autism and making prognoses about future outcomes. We applied a newly proposed definition of profound autism to surveillance data to estimate the percentage of children with autism who have profound autism and describe their sociodemographic and clinical characteristics.

METHODS

We analyzed population-based surveillance data from the Autism and Developmental Disabilities Monitoring Network for 20 135 children aged 8 years with autism during 2000-2016. Children were classified as having profound autism if they were nonverbal, were minimally verbal, or had an intelligence quotient <50.

RESULTS

The percentage of 8-year-old children with profound autism among those with autism was 26.7%. Compared with children with non-profound autism, children with profound autism were more likely to be female, from racial and ethnic minority groups, of low socioeconomic status, born preterm or with low birth weight; have self-injurious behaviors; have seizure disorders; and have lower adaptive scores. In 2016, the prevalence of profound autism was 4.6 per 1000 8-year-olds. The prevalence ratio (PR) of profound autism was higher among non-Hispanic Asian/Native Hawaiian/Other Pacific Islander (PR = 1.55; 95 CI, 1.38-1.73), non-Hispanic Black (PR = 1.76; 95% CI, 1.67-1.86), and Hispanic (PR = 1.50; 95% CI, 0.88-1.26) children than among non-Hispanic White children.

CONCLUSIONS

As the population of children with autism continues to change, describing and quantifying the population with profound autism is important for planning. Policies and programs could consider the needs of people with profound autism across the life span to ensure their needs are met.

Korean Immigrant Mothers and the Journey to Autism Diagnosis and Services for Their Child in the United States

Since autism diagnosis is directly linked to the availability of supportive services, identifying best practices for early diagnosis of autism has long been a concern of professionals and families. Meanwhile, studies show persistent racial disparities in autism diagnosis. Although numerous clinical diagnostic guidelines have been published, there is not enough discussion of diagnostic procedures through the lens of culturally diverse families.

PURPOSE

This study focuses on the autism diagnostic experiences that Korean immigrant mothers had with their children.

METHODS

Eleven first-generation Korean-American mothers of children with autism were included in the study. The data was collected using semi-structured interviews in Korean.

RESULTS

The main five factors (i.e., cultural beliefs and values, language barriers, complex emotions, immigration and navigating systems, and facilitators and assets) that mainly influence the diagnosis process were identified through thematic analysis.

CONCLUSION

Dynamics are interactive within and between the factors, influencing the entire diagnostic process by either delaying or facilitating the identification of a child's autism and the provision of treatment.

Big data in autism research: Methodological challenges and solutions

While the concept of big data has emerged over the past decade as a hot topic in nearly all areas of scientific inquiry, it has rarely been discussed in the context of autism research. In this commentary we describe aspects of big data that are relevant to autism research and methodological issues such as confounding and data error that can hamper scientific investigation. Although big data studies can have transformative impact, bigger is not always better, and big data require the same methodological considerations and interdisciplinary collaboration as "small data" to extract useful scientific insight.

Newborn Screening for Neurodevelopmental Disorders May Exacerbate Health Disparities

Newborn screening (NBS) began in the early 1960s with screening for phenylketonuria on blood collected on filter paper. The number of conditions included in NBS programs expanded significantly with the adoption of tandem mass spectrometry. The recommended uniform screening panel provides national guidance and has reduced state variability. Universality and uniformity have been supported to promote equity. Recently, a number of researchers have suggested expanding NBS to include genomic sequencing to identify all genetic disorders in newborns. This has been specifically suggested for genes that increase the risk for neurodevelopmental disorders (NDDs), with the presumption that early identification in the newborn period would reduce disabilities. We offer arguments to show that genomic sequencing of newborns for NDDs risks exacerbating disparities. First, the diagnosis of NDD requires clinical expertise, and both genetic and neurodevelopmental expertise are in short supply, leading to disparities in access to timely follow-up. Second, therapies for children with NDDs are insufficient to meet their needs. Increasing early identification for those at risk who may never manifest developmental delays could shift limited resources to those children whose parents are more poised to advocate, worsening disparities in access to services. Rather, we suggest an alternative: genomic sequencing of all children with diagnosed NDDs. This focused strategy would have the potential to target genomic sequencing at children who manifest NDDs across diverse populations which could better improve our understanding of contributory genes to NDDs.

Applications of identity-based theories to understand the impact of stigma and camouflaging on mental health outcomes for autistic people

Autistic people have long been conceptualized from a deficit-based model of disability, but recent self-advocates and scholars have asserted the importance of recognizing autism as both a disability and an important part of a person's social identity. The autistic identity is subject to specific stigma and stressors beyond everyday discrimination and prejudice, which can have many downstream implications on mental health and well-being. Prior research on camouflaging has explained both quantitatively and qualitatively how autistic people conform to norms and mask their autistic traits to better fit in with non-autistic societal standards. Given this paradigm shift in understanding autistic peoples' lived experiences, researchers must also begin to reshape the theories guiding their work in order to improve diagnosis, intervention, and supports. This review examines the extant research on identity-related stigma and camouflaging and their subsequent impacts on mental health outcomes in autism. A model is proposed integrating identity-based theories-specifically the social model of disability, social identity theory, and minority stress model-to explain relationships across research areas and better explain the experiences of autistic people. We discuss how identity-based theories can be applied in autism research to better understand the impacts of stigma and camouflaging on autistic peoples' lived experiences and reduce disparities in their mental health outcomes.

Eye-Tracking-Based Measurement of Social Visual Engagement Compared With Expert Clinical Diagnosis of Autism

Importance

In the US, children with signs of autism often experience more than 1 year of delay before diagnosis and often experience longer delays if they are from racially, ethnically, or economically disadvantaged backgrounds. Most diagnoses are also received without use of standardized diagnostic instruments. To aid in early autism diagnosis, eye-tracking measurement of social visual engagement has shown potential as a performance-based biomarker.

Objective

To evaluate the performance of eye-tracking measurement of social visual engagement (index test) relative to expert clinical diagnosis in young children referred to specialty autism clinics.

Design, Setting, and Participants

In this study of 16- to 30-month-old children enrolled at 6 US specialty centers from April 2018 through May 2019, staff blind to clinical diagnoses used automated devices to measure eye-tracking-based social visual engagement. Expert clinical diagnoses were made using best practice standardized protocols by specialists blind to index test results. This study was completed in a 1-day protocol for each participant.

Main Outcomes and Measures

Primary outcome measures were test sensitivity and specificity relative to expert clinical diagnosis. Secondary outcome measures were test correlations with expert clinical assessments of social disability, verbal ability, and nonverbal cognitive ability.

Results

Eye-tracking measurement of social visual engagement was successful in 475 (95.2%) of the 499 enrolled children (mean [SD] age, 24.1 [4.4] months; 38 [8.0%] were Asian; 37 [7.8%], Black; 352 [74.1%], White; 44 [9.3%], other; and 68 [14.3%], Hispanic). By expert clinical diagnosis, 221 children (46.5%) had autism and 254 (53.5%) did not. In all children, measurement of social visual engagement had sensitivity of 71.0% (95% CI, 64.7% to 76.6%) and specificity of 80.7% (95% CI, 75.4% to 85.1%). In the subgroup of 335 children whose autism diagnosis was certain, sensitivity was 78.0% (95% CI, 70.7% to 83.9%) and specificity was 85.4% (95% CI, 79.5% to 89.8%). Eye-tracking test results correlated with expert clinical assessments of individual levels of social disability (r = -0.75 [95% CI, -0.79 to -0.71]), verbal ability (r = 0.65 [95% CI, 0.59 to 0.70]), and nonverbal cognitive ability (r = 0.65 [95% CI, 0.59 to 0.70]).

Conclusions and Relevance

In 16- to 30-month-old children referred to specialty clinics, eye-tracking-based measurement of social visual engagement was predictive of autism diagnoses by clinical experts. Further evaluation of this test's role in early diagnosis and assessment of autism in routine specialty clinic practice is warranted.

Trial Registration

ClinicalTrials.gov Identifier: NCT03469986.

Development and Replication of Objective Measurements of Social Visual Engagement to Aid in Early Diagnosis and Assessment of Autism

Importance

Autism spectrum disorder is a common and early-emerging neurodevelopmental condition. While 80% of parents report having had concerns for their child's development before age 2 years, many children are not diagnosed until ages 4 to 5 years or later.

Objective

To develop an objective performance-based tool to aid in early diagnosis and assessment of autism in children younger than 3 years.

Design, Setting, and Participants

In 2 prospective, consecutively enrolled, broad-spectrum, double-blind studies, we developed an objective eye-tracking-based index test for children aged 16 to 30 months, compared its performance with best-practice reference standard diagnosis of autism (discovery study), and then replicated findings in an independent sample (replication study). Discovery and replication studies were conducted in specialty centers for autism diagnosis and treatment. Reference standard diagnoses were made using best-practice standardized protocols by specialists blind to eye-tracking results. Eye-tracking tests were administered by staff blind to clinical results. Children were enrolled from April 27, 2013, until September 26, 2017. Data were analyzed from March 28, 2018, to January 3, 2019.

Main Outcomes and Measures

Prespecified primary end points were the sensitivity and specificity of the eye-tracking-based index test compared with the reference standard. Prespecified secondary end points measured convergent validity between eye-tracking-based indices and reference standard assessments of social disability, verbal ability, and nonverbal ability.

Results

Data were collected from 1089 children: 719 children (mean [SD] age, 22.4 [3.6] months) in the discovery study, and 370 children (mean [SD] age, 25.4 [6.0] months) in the replication study. In discovery, 224 (31.2%) were female and 495 (68.8%) male; in replication, 120 (32.4%) were female and 250 (67.6%) male. Based on reference standard expert clinical diagnosis, there were 386 participants (53.7%) with nonautism diagnoses and 333 (46.3%) with autism diagnoses in discovery, and 184 participants (49.7%) with nonautism diagnoses and 186 (50.3%) with autism diagnoses in replication. In the discovery study, the area under the receiver operating characteristic curve was 0.90 (95% CI, 0.88-0.92), sensitivity was 81.9% (95% CI, 77.3%-85.7%), and specificity was 89.9% (95% CI, 86.4%-92.5%). In the replication study, the area under the receiver operating characteristic curve was 0.89 (95% CI, 0.86-0.93), sensitivity was 80.6% (95% CI, 74.1%-85.7%), and specificity was 82.3% (95% CI, 76.1%-87.2%). Eye-tracking test results correlated with expert clinical assessments of children's individual levels of ability, explaining 68.6% (95% CI, 58.3%-78.6%), 63.4% (95% CI, 47.9%-79.2%), and 49.0% (95% CI, 33.8%-65.4%) of variance in reference standard assessments of social disability, verbal ability, and nonverbal cognitive ability, respectively.

Conclusions and Relevance

In two diagnostic studies of children younger than 3 years, objective eye-tracking-based measurements of social visual engagement quantified diagnostic status as well as individual levels of social disability, verbal ability, and nonverbal ability in autism. These findings suggest that objective measurements of social visual engagement can be used to aid in autism diagnosis and assessment.

Toward Equity in Research on Intellectual and Developmental Disabilities

Lack of diversity in IDD research is typically conceptualized only in terms of (1) recruitment of samples that do not appropriately represent the sociodemographics of the population, or (2) the limited number of researchers from historically marginalized backgrounds. Critically, the field also suffers from over-reliance on perspectives and social systems of dominant culture-both in how disability is regarded and in relation to other dimensions of identity and culture. These lenses lead to research findings that reinforce, rather than reduce, social inequities. We propose a framework that minimizes reliance on diagnostic categories, shifts from deficit- to person-centered models, acknowledges people's multiple identities, and includes self-advocates and diverse communities as partners in the research enterprise. The systems change necessary to support this framework is described.

Effects of Intersectionality Along the Pathway to Diagnosis for Autistic Children With and Without Co-occurring Attention Deficit Hyperactivity Disorder in a Nationally-Representative Sample

Children with complex behavioral profiles (e.g., ASD + ADHD) may experience delays in obtaining a final diagnosis. Low-resource or underrepresented groups may be at even greater risk for delayed diagnosis. We assessed the effect of sociodemographic factors, symptom complexity and co-occurring conditions, and identifier of first symptoms on diagnostic trajectories among children aged 3-17 years diagnosed with ASD (n = 52) or ASD + ADHD (n = 352) from a nationally-representative sample. Race/ethnicity and gender disparities were evident in both groups. Race, symptom complexity, and co-occuring conditions predicted age of final diagnosis and wait time between first concern and final diagnosis, both of which were staggeringly high. Results suggest a complex influence of sociodemographic factors on the diagnostic pathway, and risk of health disparities as a function of intersectionality.

Barriers to referral and evaluation and corresponding navigation services for toddlers screening positive for autism spectrum disorder

INTRODUCTION

Children from disadvantaged populations receive referrals, diagnoses, and services for autism spectrum disorder (ASD) late or not at all. We describe barriers to referral for and receipt of evaluation for ASD among young children from disadvantaged families and activities by autism family navigators (AFNs) to address these barriers.

METHOD

Trained AFNs offered navigation to families of children aged 16-30 months with positive ASD screens from community health center clinics in 2015-2018. AFNs interviewed families to identify perceived barriers to care and documented system barriers and navigation activities. We coded, categorized, and described barriers and AFN activities. Case studies illustrate barriers and navigation activities.

RESULTS

Of 22 participating mothers, 82% were Latinx and 64% were native Spanish-speaking; 71% had household incomes <$30,000/year and 57% had no high school diploma. Half of the families experienced five or more barriers to ASD evaluation, most commonly pragmatic barriers. Information barriers/needs were 5 times more common among Spanish-speaking than English-speaking mothers. One-fifth of families identified negative experiences or expectations of care. System barriers included incomplete screening tests, inadequate referrals, and waiting lists. AFNs implemented navigation activities, most frequently categorized as care coordination (95%), education (68%), social/emotional support (36%), family advocacy (27%), and self-advocacy coaching (23%). AFNs also trained providers and staff to improve screening and referral implementation.

DISCUSSION

In this largely Latinx sample, families experienced numerous barriers to obtaining ASD evaluations for their screen-positive children, likely reflecting the complexity of negotiating both healthcare and educational systems. Trained AFNs can assist parents to overcome barriers to timely diagnosis. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Perspectives on children's autistic traits in UK-based British and Egyptian/Sudanese communities

BACKGROUND

While most autism research is conducted in White Western samples, culture may affect perceptions and reporting of autistic traits. We explored how UK-based British and Egyptian/Sudanese communities perceive autism features.

METHODS AND PROCEDURES

Nineteen participants self-identifying as British and 20 as Egyptian/Sudanese participated in focus group discussions on child development norms, and individual interviews on items of the Autism-spectrum Quotient: Children's version (AQ-Child; Auyeung et al., 2007), measuring autistic traits. Data were analysed using template analysis.

OUTCOMES AND RESULTS

Three themes were developed: 1) Value judgements of behaviours; 2) Considerations on differences between children; 3) Problematic interpretations of AQ-Child items. These processes may affect how parents and community members report on children's autistic traits. Cross-cultural comparisons suggested subtle differences in interpretations and judgements, and British participants referred to age expectations and comparisons with other children more than Egyptian/Sudanese participants. However, within-group variability, sometimes attributed to socioeconomic status and generation, appeared larger than cross-cultural differences.

CONCLUSIONS AND IMPLICATIONS

Our findings further the insights on influence of culture and within-community factors on reporting children's behaviour relevant to autism. These can inform the adaptation of screening tools in multi-cultural settings, to promote better autism recognition in communities where it may be underdiagnosed.