Racial, Ethnic, and Sociodemographic Disparities in Diagnosis of Children with Autism Spectrum Disorder

Psychological variables related to technology-mediated intervention design in autism spectrum disorder

BACKGROUND

Autism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder characterized by persistent impairments in communication, social interaction and learning (Hodges et al., 2020). Because of its heterogeneous nature, ASD presents complex challenges, including social exclusion, school abandonment and limited access to health care. Technologies offer a pragmatic solution to overcome these limitations and to deliver therapeutic interventions in both physical and online environments. Studies have demonstrated that technology-mediated interventions (TMIs) have a positive impact on the development of capabilities of individuals with ASD. However, according to the European Parliament's Research Service technologies for ASDs are less mature (European Parliament. Directorate General for Parliamentary Research Services., 2018) and the causes and effects of TMIs in ASD should be better understood.

AIMS

Present study aimed to investigate the psychological variables related to TMIs in ASD.

METHODS AND PROCEDURES

The study employed a survey research method with a between-subjects design involving 61 adult participants comprising therapists, teachers and parents of children with ASD and it examined psychological variables related to children with ASD, factors of technology usage, and parental and educators' experiences.

OUTCOMES AND RESULTS

The analysis of the data obtained from the questionnaire focused on correlations and differences between groups, and was carried out using nonparametric tests. Kendall's Tau B test was used to explore the relationships between variables. The Mann-Whitney nonparametric test was employed to identify differences between groups.

CONCLUSIONS AND IMPLICATIONS

The findings revealed numerous relationships between variables and meaningful differences between the groups investigated in terms of how technologies are perceived by stakeholders involved in ASD interventions.

Empowering Disabled Voices: A Practical Guide for Methodological Shifts in Biology Education Research

Biology education research provides important guidance for educators aiming to ensure access for disabled students. However, there is still work to be done in developing similar guidelines for research settings. By using critical frameworks that amplify the voices of people facing multiple forms of marginalization, there is potential to transform current biology education research practices. Many biology education researchers are still in the early stages of understanding critical disability frameworks, such as Disability Critical Race Studies (DisCrit), which consists of seven tenets designed to explore the intersecting experiences of ableism and racism. Our Research Methods Essay uses DisCrit as a model framework and pulls from other related critical disability frameworks to empower disabled voices in biology education research. Drawing from existing scholarship, we discuss how biology education researchers can design, conduct, and share research findings. Additionally, we highlight strategies that biology education scholars can use in their research to support access for participants. We propose the creation and sharing of Access and Equity Maps to help plan-and make public-the steps researchers take to foster access in their research. We close by discussing frequently asked questions researchers may encounter in taking on critical frameworks, such as DisCrit.

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 Relationships Among Neighborhood Disadvantage, Mental Health and Developmental Disabilities Diagnoses, and Race/Ethnicity in a U.S. Urban Location

Childhood health disparities by race have been found. Neighborhood disadvantage, which may result from racism, may impact outcomes. The aim of the study is to describe the distribution of mental health (MH) and developmental disabilities (DD) diagnosis across Child Opportunity Index (COI) levels by race/ethnicity. A cross-sectional study using 2022 outpatient visit data for children < 18 years living in the Louisville Metropolitan Area (n = 115,738) was conducted. Multivariable logistic regression analyses examined the association between diagnoses and COI levels, controlling for sex and age. Almost 18,000 children (15.5%) had a MH or DD (7,905 [6.8%]) diagnosis. In each COI level, the prevalence of MH diagnosis was lower for non-Hispanic (N-H) Black than for N-H White children. In adjusted analyses, there were no significant associations between diagnoses and COI for non-White children for MH or DD diagnoses. The odds of receiving a MH [OR: 1.74 (95% CI: 1.62, 1.87)] and DD [OR: 1.69 (95% CI: 1.51, 1.88)] diagnosis were higher among N-H White children living in Very Low compared to Very High COI areas. Current findings suggest that COI does not explain disparities in diagnosis for non-White children. More research is needed to identify potential multi-level drivers such as other forms of racism. Identifying programs, policies, and interventions to reduce childhood poverty and link children and families to affordable, family-centered, quality community mental and physical health resources is needed to ensure that families can build trusting relationships with the providers while minimizing stigma.

The effects of racial and socioeconomic disparities on time to diagnosis and treatment of pediatric functional seizures in the United States

PURPOSE

The present study sought to assess the effects of racial and socioeconomic status in the United States on time to treatment and diagnosis of pediatric functional seizures (FS).

METHODS

Eighty adolescents and their parent/guardian completed a demographics questionnaire and reported date of FS onset, diagnosis, and treatment. Paired samples t-tests compared time between FS onset and diagnosis, onset and treatment, and diagnosis and treatment based on race (White vs racial minority), annual household income (≤$79,999 vs ≥$80,000), maternal and paternal education (≤Associate's Degree vs Bachelor's Degree), and combined parental education (≤Post-graduate training vs Graduate degree).

RESULTS

Adolescents with lower annual household income began treatment >6 months later than adolescents with greater annual household income (p = 0.049). Adolescents with lower maternal and paternal education (≤Associate's Degree vs Bachelor's Degree) began treatment >4 and ∼8.5 months later than adolescents with greater maternal and paternal education (p = 0.04; p = 0.03), respectively. Adolescents with lower maternal education also received a diagnosis >5 months later (p = 0.03). Adolescents without a mother or father with a graduate degree received a diagnosis and began treatment∼3 and >11 months later (p = 0.03; p = 0.01) than adolescents whose mother or father received a graduate degree, respectively. No racial differences were found.

CONCLUSIONS

Adolescents with lower annual household income and/or parental education experienced increased duration between FS onset and treatment and diagnosis. Research is needed to clarify the mechanisms underlying this relationship, and action is needed to reduce these disparities given FS duration is associated with poorer prognosis and greater effects on the brain.

Food, nutrition, and autism: from soil to fork

Food and nutrition-related factors have the potential to impact development of autism spectrum disorder (ASD) and quality of life for people with ASD, but gaps in evidence exist. On 10 November 2022, Tufts University's Friedman School of Nutrition Science and Policy and Food and Nutrition Innovation Institute hosted a 1-d meeting to explore the evidence and evidence gaps regarding the relationships of food and nutrition with ASD. This meeting report summarizes the presentations and deliberations from the meeting. Topics addressed included prenatal and child dietary intake, the microbiome, obesity, food-related environmental exposures, mechanisms and biological processes linking these factors and ASD, food-related social factors, and data sources for future research. Presentations highlighted evidence for protective associations with prenatal folic acid supplementation and ASD development, increases in risk of ASD with maternal gestational obesity, and the potential for exposure to environmental contaminants in foods and food packaging to influence ASD development. The importance of the maternal and child microbiome in ASD development or ASD-related behaviors in the child was reviewed, as was the role of discrimination in leading to disparities in environmental exposures and psychosocial factors that may influence ASD. The role of child diet and high prevalence of food selectivity in children with ASD and its association with adverse outcomes were also discussed. Priority evidence gaps identified by participants include further clarifying ASD development, including biomarkers and key mechanisms; interactions among psychosocial, social, and biological determinants; interventions addressing diet, supplementation, and the microbiome to prevent and improve quality of life for people with ASD; and mechanisms of action of diet-related factors associated with ASD. Participants developed research proposals to address the priority evidence gaps. The workshop findings serve as a foundation for future prioritization of scientific research to address evidence gaps related to food, nutrition, and ASD.

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.

Developmental Assessment in Children at Higher Likelihood for Developmental Delays - Comparison of Parent Report and Direct Assessment

PURPOSE

Accurate assessment of cognitive development of young children is a vital component of developmental evaluations. Direct assessment of developmental skills is not always feasible, but there is limited information on the agreement between direct assessment and caregiver-reported cognitive skills. There is limited information regarding the accuracy of the parent-reported Developmental Profile 4 (DP-4) in comparison to the widely-used developmental measure, the Bayley Scales of Infant and Toddler Development, Fourth Edition (Bayley-4). The purpose of the current study was to evaluate whether a standardized parent interview can effectively identify children at risk for cognitive developmental delays.

METHODS

We compared the agreement between the Bayley-4 Cognitive and the Developmental Profile 4 (DP-4) in young children being evaluated in-person for early developmental delays. 182 children (134 with an autism diagnosis), ages 6-42 months, completed both assessments.

RESULTS

Results showed that Bayley-4 Cognitive scores had a moderately strong correlation with DP4-Cognitive scores (r = 0.70, p < 0.001). A cutoff of 70 or 69 on the DP-4 Cognitive was determined as ideal for identifying developmental delay based on diagnosis of global developmental delay or the Bayley-4 Cognitive.

CONCLUSIONS

Our analyses revealed good agreement between DP-4 and Bayley-4 Cognitive scores, even after controlling for confounding variables such as degree of ASD characteristics, age, and sex. These results suggest that caregiver-report measures can be a valid and useful tool in the assessment of young children, particularly when direct developmental assessment is not feasible.

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.

ECHO Autism Washington: Autism Diagnostic Evaluations in Primary Care

ECHO (Extensions for Community Healthcare Outcomes) Autism is a telementoring learning model to increase community capacity for autism-related health care. Seventy-seven pediatric providers (mostly primary care, seeing exclusively Medicaid patient populations) enrolled in 1 year of ECHO Autism Washington. Analysis of self-report surveys showed a significant increase in autism diagnoses made by ECHO providers after 1 year, F(1, 65) = 7.52, P = .008. Providers who attended more sessions reported making more diagnoses, F(2, 613.26), P = .045. Of note, autism diagnoses were not externally validated. The total number of reported barriers reduced, F(2, 61) = 13.5), P < .001, and confidence ratings increased F(2, 60) = 24.21, P < .001. The average number of diagnostic referrals from ECHO providers to the state's largest autism specialty clinic significantly reduced, t(43) = 4.23, P < .001, with significantly fewer diagnostic referrals made during and after ECHO training compared with a comparison group of 28 non-ECHO providers, t(58.77) = -3.36, P < .001. Overall, 1 year of ECHO Autism Washington participation led to significant changes in autism diagnostic practices.

Access to Part C, Early Intervention for children younger than 4 years evaluated for autism spectrum disorder

LAY ABSTRACT

Health disparities are defined as preventable differences in the opportunities to achieve optimal health outcomes experienced by marginalized and underrepresented communities. For families with autistic children, health disparities limit accessing early intervention services-which have been found to improve quality of life and other outcomes. One specific early intervention service in the United States is Individuals with Disabilities Education Act, Part C Early Intervention programs, which are federally funded interventions for children birth-to-three with developmental delays. This study adds to this topic by examining which factors impact accessing Part C, Early Intervention services for children who were evaluated for autism. Results showed that only half of the sample received these services despite there being concerns about development for all children. In addition, results showed that those who identified as Black had decreased odds of having accessed Part C, Early Intervention compared to those who identified as White. These results suggest that there are disparities when it comes to accessing important early intervention services that may be negatively impacting the Black autistic community.

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.

Trajectories of adaptive functioning from early childhood to adolescence in autism: Identifying turning points and key correlates of chronogeneity

Background

Previous research has demonstrated heterogeneous adaptive outcomes across the autism spectrum; however, the current literature remains limited in elucidating turning points and associated factors for longitudinal variability (chronogeneity). To address these empirical gaps, we aimed to provide a finer-grained characterization of trajectories of adaptive functioning from early childhood to adolescence in autism.

Methods

Our sample (N = 406) was drawn from an inception cohort of children diagnosed Autistic at ages 2-5. Adaptive functioning was assessed with Vineland Adaptive Behavior Scales (VABS, 2nd Edition) across 6 visits from the time of diagnosis by age 18. Parallel-process latent growth curve modeling were used to estimate domain-level VABS trajectories, followed by latent class growth analysis to identify trajectory subgroups. Child characteristics at diagnosis, family demographics, and participation outcomes at adolescence were compared across subgroups.

Results

Piecewise latent growth models best described VABS trajectories with two turning points identified at around ages 5-6 and 9-10, respectively reflecting transitions into school age and early adolescence. We parsed four VABS trajectory subgroups that vary by level of functioning and change rate for certain domains and periods. Around 16% of the sample exhibited overall adequate functioning (standard score >85) with notable early growth and social adaptation during adolescence. About 21% showed low adaptive functioning (standard score ≤70), with decreasing slopes by age 6 followed by improvements in communication and daily-living skills by age 10. The other two subgroups (63% in total) were characterized by adaptive functioning between low and adequate levels, with relatively stable trajectories entering school age. These subgroups differed most in their cognitive ability at diagnosis, household income, and social participation in adolescence.

Conclusions

We identified key individual and family characteristics and time windows associated with distinct adaptive functioning trajectories, which have important implications for providing timely and tailored supports to Autistic people across developmental stages.

Impact of Race in Missed Appointments in Pediatric Neurology Resident Clinic at a Large Tertiary Medical Center

Missed medical appointments are a common problem across specialties. The discontinuity of care leads to unplanned health care utilization, increased costs, and poor health outcomes. Previous studies evaluating pediatric epilepsy have shown significant socioeconomic barriers to care. In several specialties, resident clinic no-show rates are higher than faculty clinics because of socioeconomic barriers. We sought to understand the relationship between race, socioeconomic factors, and missed appointments in a pediatric neurology resident clinic at a large tertiary care hospital. Resident clinic encounters for 1 year were extracted and analyzed for missed appointments, socioeconomic factors, and health care utilization. We found that missed appointments occur for 1 in 5 patients and correlate with socioeconomic factors (eg, income and insurance) and race. Race was a more significant factor than socioeconomic factors for missed appointments. These results provide areas to target and track interventions to improve health outcomes in children in pediatric neurology clinics.

Eye-Tracking Biomarkers and Autism Diagnosis in Primary Care

Importance

Finding effective and scalable solutions to address diagnostic delays and disparities in autism is a public health imperative. Approaches that integrate eye-tracking biomarkers into tiered community-based models of autism evaluation hold promise for addressing this problem.

Objective

To determine whether a battery of eye-tracking biomarkers can reliably differentiate young children with and without autism in a community-referred sample collected during clinical evaluation in the primary care setting and to evaluate whether combining eye-tracking biomarkers with primary care practitioner (PCP) diagnosis and diagnostic certainty is associated with diagnostic outcome.

Design, Setting, and Participants

Early Autism Evaluation (EAE) Hub system PCPs referred a consecutive sample of children to this prospective diagnostic study for blinded eye-tracking index test and follow-up expert evaluation from June 7, 2019, to September 23, 2022. Participants included 146 children (aged 14-48 months) consecutively referred by 7 EAE Hubs. Of 154 children enrolled, 146 provided usable data for at least 1 eye-tracking measure.

Main Outcomes and Measures

The primary outcomes were sensitivity and specificity of a composite eye-tracking (ie, index) test, which was a consolidated measure based on significant eye-tracking indices, compared with reference standard expert clinical autism diagnosis. Secondary outcome measures were sensitivity and specificity of an integrated approach using an index test and PCP diagnosis and certainty.

Results

Among 146 children (mean [SD] age, 2.6 [0.6] years; 104 [71%] male; 21 [14%] Hispanic or Latine and 96 [66%] non-Latine White; 102 [70%] with a reference standard autism diagnosis), 113 (77%) had concordant autism outcomes between the index (composite biomarker) and reference outcomes, with 77.5% sensitivity (95% CI, 68.4%-84.5%) and 77.3% specificity (95% CI, 63.0%-87.2%). When index diagnosis was based on the combination of a composite biomarker, PCP diagnosis, and diagnostic certainty, outcomes were concordant with reference standard for 114 of 127 cases (90%) with a sensitivity of 90.7% (95% CI, 83.3%-95.0%) and a specificity of 86.7% (95% CI, 70.3%-94.7%).

Conclusions and Relevance

In this prospective diagnostic study, a composite eye-tracking biomarker was associated with a best-estimate clinical diagnosis of autism, and an integrated diagnostic model including PCP diagnosis and diagnostic certainty demonstrated improved sensitivity and specificity. These findings suggest that equipping PCPs with a multimethod diagnostic approach has the potential to substantially improve access to timely, accurate diagnosis in local communities.

Foster Care Involvement Among Youth With Intellectual and Developmental Disabilities

Importance

Youth with intellectual and developmental disabilities (I/DD) are more likely to be placed in foster care than other youth. Examining the clinical and sociodemographic characteristics of youth with I/DD in the foster care system is critical for identifying disparities and understanding service needs.

Objective

To produce a population-level analysis of youth with I/DD in foster care that examines differences in rates of foster care involvement based on race, ethnicity, age, and sex.

Design, Setting, and Participants

This cross-sectional study involved all individuals with I/DD 21 years and younger enrolled in Medicaid through foster care in 2016 via data from Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) for all 50 US states and Washington, DC. As a key insurer of I/DD services and foster care, Medicaid claims offer a timely population-level analysis. Youth with I/DD were grouped into diagnostic subgroups: autism spectrum disorder (ASD) only, intellectual disability only, or ASD and ID. The data analysis took place from July 2022 to September 2023.

Exposure

TAF data contain Medicaid enrollment information by month with a binary indicator of foster care involvement, and eligibility files identify race, ethnicity, age, and sex.

Main Outcomes and Measures

The period prevalence of foster care involvement was determined among I/DD youth by diagnostic subgroups using an intersectional approach across race, ethnicity, age, and sex. Logistic regression examined associations between risk for foster care involvement and race, ethnicity, age, and sex.

Results

A total of 39 143 youth with I/DD had foster care involvement in 2016. Black youth (adjusted odds ratio [aOR], 1.37; 95% CI, 1.28-1.47) and females (aOR, 1.18; 95% CI, 1.1-1.27) had increased likelihood for foster care involvement. The likelihood for foster care involvement increased with age in all groups relative to the age group 0 to 5 years old.

Conclusions and Relevance

This study found that among youth with I/DD, Black youth and females faced higher risk for foster care involvement, and the likelihood of foster care involvement increased with age. There is an urgent need for research that focuses on addressing system-level factors that drive increased risk. Understanding the specific health needs of Black and female youth with I/DD is critical to ensure the formation, implementation, and monitoring of equitable delivery of health services.

Mind the NIH-Funding Gap: Structural Discrimination in Physical Health-Related Research for Cognitively Able Autistic Adults

Autistic adults experience disparities in physical health and health care access. A major barrier to addressing these disparities is a lack of federal funding for research on this topic. In seeking funding from the National Institutes of Health (NIH), we discovered nodes that contribute to structural discrimination in physical health-related research for autistic adults. To examine this structural discrimination, we systematically searched funded research on all physical health-disparity conditions in autistic adults using NIH RePORTER. Among 61 unique studies, none focused on improving the relevant physical health condition through intervention, programs, or services for autistic adults. Thus, we need updated policies and procedures that support research on physical health disparities in populations with developmental or mental health conditions.

Exploring Factors of Diagnostic Timing Among Black Autistic Youth

The goal of the present study was to compare profiles among Black families of autistic youth who were identified Early (≤ 2 years of age), Mid (age 3 or 4), and Delayed (≥ 5 years of age) to better identify the characteristics that contribute to early ASD identification and delayed ASD identification. Black caregivers with autistic youth (N = 101) were divided into Early (N = 34), Mid (N = 39), and Delayed (N = 28) groups and compared on (a) the age at which signs of autism signs were first noticed, (b) wait times, (c) previous misdiagnoses rates, and (d) racial barriers experienced during the diagnostic process. The results revealed differences between the diagnostic profiles. Specifically, (a) Delayed families noticed the first signs of autism significantly later, (b) Early families had significantly smaller wait times between age of noticing signs of autism and age of receiving the diagnosis, (c) the odds of receiving a later or delayed autism diagnosis was nearly three times higher for caregivers who reported receiving a misdiagnosis, and (d) there were no significant differences in racial barriers experienced between Early, Mid, and Delayed families. Challenges in receiving a timely diagnosis remain for some Black autistic youth. To improve early identification for Black autistic youth who are at risk for receiving delayed diagnostic care, further research should examine factors and practices that improve autism knowledge among professionals and caregivers, enhance assessment practices, and integrate culturally responsive practices into assessment and screening procedures.

Career progression for autistic people: A scoping review

LAY ABSTRACT

Lots of autistic people are unemployed. Even when they are employed, autistic people might be given fewer opportunities than non-autistic people to progress in their careers. For example, assumptions about autistic people's differences in social communication might mean they are not given as many promotions. Indeed, we know that many autistic people are in jobs lower than their abilities (known as 'underemployment'). We reviewed 33 studies that tell us something about career progression for autistic people. Our review found that lots of autistic people want to progress in their careers, but there are many barriers in their way. For example, when they told their employer about being autistic, some people were given fewer opportunities. Research has also shown that autistic people do not get enough support to progress and that gaps in their employment history can make it difficult to progress. Our review suggested that good employment support (e.g. mentors) might help autistic people to progress in their careers. However, not much research has evaluated employment support for autistic people, which means we do not know how useful it is. Future research should find the best support that allows autistic people to live and work in ways that are meaningful to them.

Possible unintended consequences of pediatric clinician strategies for communicating about social-emotional and developmental concerns in diverse young children

INTRODUCTION

Screening to promote social-emotional well-being in toddlers has positive effects on long-term health and functioning. Communication about social-emotional well-being can be challenging for primary care clinicians for various reasons including lack of time, training and expertise, resource constraints, and cognitive burden. Therefore, we explored clinicians' perspectives on identifying and communicating with caregivers about social-emotional risk in toddlers.

METHOD

In 2021, semistructured interviews were conducted with pediatric clinicians (N = 20) practicing in Federally Qualified Health Centers in a single metropolitan area. Most participants identified as female (n = 15; 75%), white non-Hispanic/Latino (n = 14; 70%), and were Doctors of Medicine or Osteopathic Medicine (n = 14; 70%). Thematic analysis was conducted on audio-recorded interview transcripts.

RESULTS

Clinicians used various approaches to identify social-emotional concerns which were sometimes difficult to distinguish from other developmental concerns. The clinician-caregiver relationship guided identification and communication practices and cut-across themes. Themes include: starting with caregivers' concerns, communicating concerns with data and sensitivity, navigating labels, culture, and stigma, and limiting communication based on family capacity and interest.

DISCUSSION

Prioritizing the clinician-caregiver relationship is consistent with best practice and family-centered care. Yet, the dearth of standardized decision support may undermine clinician confidence and impede timely conversations about social-emotional concerns. An evidence-based approach with developmentally based culturally informed quantitative tools and standardized decision supports could help ensure equitable management and decision making about young children's social and emotional well-being and development. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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.

Racial and ethnic inequities in the quality of paediatric care in the USA: a review of quantitative evidence

Racial and ethnic inequities in paediatric care have received increased research attention over the past two decades, particularly in the past 5 years, alongside an increased societal focus on racism. In this Series paper, the first in a two-part Series focused on racism and child health in the USA, we summarise evidence on racial and ethnic inequities in the quality of paediatric care. We review studies published between Jan 1, 2017 and July 31, 2022, that are adjusted for or stratified by insurance status to account for group differences in access, and we exclude studies in which differences in access are probably driven by patient preferences or the appropriateness of intervention. Overall, the literature reveals widespread patterns of inequitable treatment across paediatric specialties, including neonatology, primary care, emergency medicine, inpatient and critical care, surgery, developmental disabilities, mental health care, endocrinology, and palliative care. The identified studies indicate that children from minoritised racial and ethnic groups received poorer health-care services relative to non-Hispanic White children, with most studies drawing on data from multiple sites, and accounting for indicators of family socioeconomic position and clinical characteristics (eg, comorbidities or condition severity). The studies discussed a range of potential causes for the observed disparities, including implicit biases and differences in site of care or clinician characteristics. We outline priorities for future research to better understand and address paediatric treatment inequities and implications for practice and policy. Policy changes within and beyond the health-care system, discussed further in the second paper of this Series, are essential to address the root causes of treatment inequities and to promote equitable and excellent health for all children.

Using normalization process theory to inform practice: evaluation of a virtual autism training for clinicians

Background

There is growing demand for developmental and behavioral pediatric services including autism evaluation and care management. Clinician trainings have been found to result in an increase of knowledge and attitudes. This study utilizes Normalization Process theory (NPT) to evaluate a clinician training program and its effects on practice.

Methods

The year-long virtual training program about autism screening and care management included didactic portions and case presentations. Focus groups and interviews were conducted with primary care clinicians (n = 10) from community health centers (n = 6) across an urban area five months post-training. Transcripts were deductively coded using NPT to uncover barriers to implementation of autism screening and care, benefits of the training program, and areas for future training.

Results

Participants were motivated by the benefits of expanding and improving support for autistic patients but noted this effort requires effective collaboration within a complex network of care providers including clinicians, insurance agencies, and therapy providers. Although there were support that participants could provide to families there were still barriers including availability of behavior therapy and insufficient staffing. Overall, participants positively viewed the training and reported implementing new strategies into practice.

Conclusion

Despite the small sample size, application of NPT allowed for assessment of both training delivery and implementation of strategies, and identification of recommendations for future training and practice sustainability. Follow-up focus groups explored participants' practice five months post-program. Variations in participants' baseline experience and context at follow-up to enable application of skills should be considered when using NPT to evaluate clinician trainings.

Spectrofluorometric quantitative analysis of aripiprazole based on quenching of natural derived carbon quantum dots in spiked human plasma

Autism spectrum disorder is a significant concern worldwide, particularly in Middle Eastern countries. Aripiprazole, a psychiatric medicine that works as a partial agonist at D2 receptors, is often used for autism-related behavior issues in children. Monitoring the therapy of aripiprazole could enhance the safety and effectiveness of treatment for autistic individuals. The purpose of this study was to develop a highly sensitive and environmentally friendly method for analysis of aripiprazole in plasma matrix. To achieve this, water-soluble N-carbon quantum dots were produced from a natural green precursor, guava fruit, and used in fluorescence quenching spectroscopy to determine the presence of aripiprazole. The synthesized dots were analyzed and characterized using transmission electron microscopy and Fourier transform infrared spectroscopy, and they showed a strong fluorescence emission peak at 475 nm. The proposed method was validated according to ICH M10 guidelines and was shown to be highly sensitive, allowing for nanoscale determination of aripiprazole in plasma matrix. Additionally, the method was compared to a previously reported spectrophotometric method, and it was found to be more sensitive and consistent with the principles of green analytical chemistry.

App Characteristics and Accuracy Metrics of Available Digital Biomarkers for Autism: Scoping Review

BACKGROUND

Diagnostic delays in autism are common, with the time to diagnosis being up to 3 years from the onset of symptoms. Such delays have a proven detrimental effect on individuals and families going through the process. Digital health products, such as mobile apps, can help close this gap due to their scalability and ease of access. Further, mobile apps offer the opportunity to make the diagnostic process faster and more accurate by providing additional and timely information to clinicians undergoing autism assessments.

OBJECTIVE

The aim of this scoping review was to synthesize the available evidence about digital biomarker tools to aid clinicians, researchers in the autism field, and end users in making decisions as to their adoption within clinical and research settings.

METHODS

We conducted a structured literature search on databases and search engines to identify peer-reviewed studies and regulatory submissions that describe app characteristics, validation study details, and accuracy and validity metrics of commercial and research digital biomarker apps aimed at aiding the diagnosis of autism.

RESULTS

We identified 4 studies evaluating 4 products: 1 commercial and 3 research apps. The accuracy of the identified apps varied between 28% and 80.6%. Sensitivity and specificity also varied, ranging from 51.6% to 81.6% and 18.5% to 80.5%, respectively. Positive predictive value ranged from 20.3% to 76.6%, and negative predictive value fluctuated between 48.7% and 97.4%. Further, we found a lack of details around participants' demographics and, where these were reported, important imbalances in sex and ethnicity in the studies evaluating such products. Finally, evaluation methods as well as accuracy and validity metrics of available tools were not clearly reported in some cases and varied greatly across studies. Different comparators were also used, with some studies validating their tools against the Diagnostic and Statistical Manual of Mental Disorders criteria and others through self-reported measures. Further, while in most cases, 2 classes were used for algorithm validation purposes, 1 of the studies reported a third category (indeterminate). These discrepancies substantially impact the comparability and generalizability of the results, thus highlighting the need for standardized validation processes and the reporting of findings.

CONCLUSIONS

Despite their popularity, systematic evaluations and syntheses of the current state of the art of digital health products are lacking. Standardized and transparent evaluations of digital health tools in diverse populations are needed to assess their real-world usability and validity, as well as help researchers, clinicians, and end users safely adopt novel tools within clinical and research practices.

Factors Associated with Pre-Research Recruitment in Autism and Related Developmental Disorders

PURPOSE

Access to research programs and increased diversity in research enrollment may be key to improving diverse populations' health and healthcare outcomes. To facilitate research recruitment, a Research Registry ("Registry"), a pre-recruitment database, was developed at an urban tertiary Autism Center ("Autism Center"). In this study, we examined whether disparities in research participation occur in the pre-research recruitment (pre-recruitment) stage.

METHODS

We compared demographic factors of patients seen at the Autism Center (but not enrolled in the Registry) vs. patients enrolled in the Registry. We also examined whether demographic factors differ among the Registry participants who were enrolled in the Registry by signing an informed consent form (ICF) vs. by returning a research interest form (RIF).

RESULTS

A total of 18,522 patients (including 1092 patients in the Registry with 403 patients via ICF and 689 patients via RIF) were included in this study. English as the primary language, White race, Non-Hispanic ethnicity, and younger age at their first clinic encounter were associated with the Registry. In the Registry sample, the RIF group had a higher proportion of non-English as a primary language, Medicaid insurance, longer distance from the Autism Center, and lower median household income (based on their ZIP code) than the ICF group.

CONCLUSIONS

This study suggests that disparities may have existed in the pre-research recruitment stage. To achieve equity in both clinical and research advancements in autism and related developmental disorders, further efforts are needed to equitably disseminate research opportunities to patients of diverse backgrounds.

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.

Aging on the Autism Spectrum: Physical Activity in Individuals Receiving State Services in the United States

This study explores factors associated with participation in moderate physical activity and muscle strengthening activity in adults with autism receiving state services (age: 18-78 years). Researchers analyzed the National Core Indicators-In Person Survey (2017-2018) data using multilevel mixed effects logistic regression. Older adults on the autism spectrum engaged in both moderate physical activity and muscle strengthening activity less often than younger adults on the autism spectrum (OR 0.99; p < 0.05; OR 0.98; p < 0.001). Individuals reportedly in fair/poor health had 50% lower odds of engaging in moderate physical activity and 30% lower odds of engaging in muscle strengthening compared to those in good/ excellent health (OR 0.50; p < 0.001; OR 0.70; p < 0.001). Moderate physical activity/muscle strengthening initiatives may help foster this group's healthy aging.

A nationwide, prospective, cohort study on exogenous oxytocin and delays in early child development: the Japan environment and children's study

Although it remains debatable, exogenous oxytocin, commonly used for labour induction and augmentation, reportedly increases risks of neurodevelopment delay, attention-deficit/hyperactivity disorder, and autism spectrum disorder among children prenatally exposed to exogenous oxytocin. However, only few studies have objectively examined exogenous oxytocin's impact on early childhood development through scoring evaluations. This study investigated the association between exogenous oxytocin exposure and neurodevelopment in 3-year-old children using the Ages and Stages Questionnaires, Third Edition. In this nationwide prospective cohort study, we extracted data from 104,062 foetal records regarding exogenous oxytocin use during labour from the Japan Environment and Children's Study. Participants completed questionnaires throughout the pregnancy and postpartum periods. Outcomes comprised the developmental status less than each cut-off value for the five domains of the Ages and Stages Questionnaire, Third Edition. We conducted multivariable logistic regression analyses on the data of 55,400 children after controlling for confounders. Among the 55,400 included women, 19.0% (n = 10,506) used exogenous oxytocin during labour and 81.0% (n = 44,894) did not. Children exposed to exogenous oxytocin showed no significantly increased risk of developmental delay in any domain (communication: odds ratio [OR] 1.04, 95% confidence interval [CI] 0.92-1.16; gross motor: OR 0.97, 95% CI 0.87-1.08; fine motor: OR 1.00, 95% CI 0.92-1.09; problem-solving: OR 1.02, 95% CI 0.94-1.11; personal-social: OR 0.91, 95% CI 0.80-1.03).   Conclusion: Exogenous oxytocin for labour induction did not adversely affect early childhood development. Further studies accounting for the degree of exogenous oxytocin exposure are required to confirm these results. What is Known: • In developed countries, labour is induced in 20-25% of all pregnancies, for which oxytocin is commonly used. • Studies have associated risks of neurodevelopment delay, attention-deficit/hyperactivity disorder, and autism spectrum disorder with exposure to exogenous oxytocin. What is New: • Evaluation with the Ages and Stages Questionnaire, Third Edition, revealed that exogenous oxytocin use did not adversely affect early childhood development. • This prospective study reinforced the lack of evidence of an association between exogenous oxytocin use and early childhood development after adjustment for confounding and rigorous bias elimination.

Sociocultural factors associated with detection of autism among culturally and linguistically diverse communities in Australia

BACKGROUND

The age at which parents or caregivers first develop concerns about their child's development has significant implications on formal diagnosis and intervention. This study aims to determine the sociocultural factors that are associated with the age and type of first concern reported by parents of autistic children among culturally and linguistically diverse (CALD) communities in Australia. We also assessed whether sociocultural factors predict autism traits measured in terms of social affect (SA), restricted and repetitive behaviours (RRB), and calibrated severity scores (CSS).

METHODS

This study is a secondary data analysis of the data collected from six Autism Specific Early Learning and Care Centres (ASELCCs) as part of the Autism Co-operative Research Centre (CRC) program between 2015 and 2019. Data analysed in this study included a family history questionnaire with sociodemographic and sociocultural information, parent-reported age and type of first concern, and clinician/researcher administered Autism Diagnostic Observation Schedule - Second Edition (ADOS-2) which includes standardised domain-wise scores of social affect (SA) and restricted and repetitive behaviours (RRB) as well as calibrated severity scores (CSS), a measure of severity of autism. Primary analysis included multivariable linear regression models to examine the predictive influence of sociodemographic and sociocultural factors on the dependant variables of age of concern (AOC) and the autism traits (SA, RRB, and CSS).

RESULTS

The mean AOC in the sample was 18.18 months and the most common concerns were speech/language delay, limited social interaction, and hyperactivity/behavioural changes. The multivariable linear regression models showed factors such as increase in age of child, those from a CALD background, annual family income, sibling's autism diagnosis, and developmental concerns to be significantly associated with parental AOC. Additionally, we also found that increase in child's age and CALD status to be significant predictors of autism trait (RRB) and severity measured in terms of the CSS score. Further, females (compared to males) were associated with higher difficulties with social communication and interaction skills.

CONCLUSION

Understanding key factors that contribute to early identification of autism can help tailor awareness programs for parents and caregivers, whilst also informing the development of services focused on serving all CALD communities.

Diagnostic Accuracy of Primary Care Clinicians Across a Statewide System of Autism Evaluation

OBJECTIVES

To evaluate the diagnostic accuracy of the Early Autism Evaluation (EAE) Hub system, a statewide network that provides specialized training and collaborative support to community primary care providers in the diagnosis of young children at risk for autism spectrum disorder (ASD).

METHODS

EAE Hub clinicians referred children, aged 14 to 48 months, to this prospective diagnostic study for blinded follow-up expert evaluation including assessment of developmental level, adaptive behavior, and ASD symptom severity. The primary outcome was agreement on categorical ASD diagnosis between EAE Hub clinician (index diagnosis) and ASD expert (reference standard).

RESULTS

Among 126 children (mean age: 2.6 years; 77% male; 14% Latinx; 66% non-Latinx white), 82% (n = 103) had consistent ASD outcomes between the index and reference evaluation. Sensitivity was 81.5%, specificity was 82.4%, positive predictive value was 92.6%, and negative predictive value was 62.2%. There was no difference in accuracy by EAE Hub clinician or site. Across measures of development, there were significant differences between true positive and false negative (FN) cases (all Ps < .001; Cohen's d = 1.1-1.4), with true positive cases evidencing greater impairment.

CONCLUSIONS

Community-based primary care clinicians who receive specialty training can make accurate ASD diagnoses in most cases. Diagnostic disagreements were predominately FN cases in which EAE Hub clinicians had difficulty differentiating ASD and global developmental delay. FN cases were associated with a differential diagnostic and phenotypic profile. This research has significant implications for the development of future population health solutions that address ASD diagnostic delays.

"Know Your Children, Who They Are, Their Weakness, and Their Strongest Point": A Qualitative Study on Diné Parent Experiences Accessing Autism Services for Their Children

BACKGROUND AND OBJECTIVE

Marked inequities in access to autism services and related health outcomes persist for U.S. children, undermining broader initiatives to advance the population's health. At the intersection of culture, poverty, and ruralness little remains known about autism in many Indigenous communities. This qualitative study on the lived experiences of Navajo (Diné) parents raising a child with autism sought to identify factors affecting access to services.

METHODS

A Diné researcher conducted in-depth interviews with 15 Diné parents of children with autism living in or around the Navajo Nation. A directed content analysis approach was used to identify themes, subthemes, and connections between themes.

RESULTS

Twelve overarching themes emerged on Diné parents' experiences accessing autism diagnostic and treatment services, as well as ways access to autism services can be improved. The following themes were related to diagnosis: the diagnostic process was often emotionally fraught; long wait times of up to years for diagnostic services were commonplace; limited clinician training and cultural humility impeded access to diagnostic services; and adequate health insurance, Indian Health Service referrals, care coordination, financial aid for travel, and efficient evaluation facilitated diagnosis. Themes on treatment access were as follows: parent perceptions of the extent to which an autism service helped their child affected access; social support helped parents to access treatment; obtaining referrals and care coordination influenced treatment access; treatment costs affected access; and service availability and geographic proximity impacted treatment access. Themes on ways to improve access to autism services were as follows: greater autism awareness is needed; autism-focused support groups may be helpful; and increased availability and quality of autism services across and around the Navajo Nation is paramount.

CONCLUSIONS

Diné parents' access to autism services was dynamically affected by sociocultural factors that must be addressed in future health equity-oriented initiatives.

Prevalence and treatment of mental, behavioral, and developmental disorders in children with co-occurring autism spectrum disorder and attention-deficit/hyperactivity disorder: A population-based study

There is a lack of nationally representative studies examining the co-occurrence of autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) in children. This study examines comorbid mental, behavioral, and developmental disorders (MBDDs) and associated treatment modalities for children with co-occurring ASD and ADHD. Cross-sectional analyses were conducted using data from the pooled 2016-2018 National Survey of Children's Health (sample n = 102,341). Nationally representative prevalences were estimated for sociodemographic variables, comorbidities, psychotropic medication, and behavioral treatment. We assessed multivariable associations between co-occurring ASD + ADHD and MBDDs, use of psychotropic medication, and receipt of behavioral treatment after adjustment for sociodemographic confounders. Compared to children with ASD without co-occurring ADHD, children with ASD + ADHD had higher prevalence of most MBDDs, including anxiety (AOR 4.03 [95% CI 2.77, 4.87]), depression (AOR 3.08 [95% CI 1.77, 5.36]), behavior or conduct problems (AOR 4.06 [95% CI 2.72, 6.06]), and other mental health conditions. Similarly, compared to children with ADHD without ASD, children with ASD + ADHD had higher odds of anxiety (AOR 3.49 [95% CI 2.65, 4.61]), depression (AOR 1.67 [95% CI 1.21, 2.29]), behavior or conduct problems (AOR 2.31 [95% CI 1.68, 3.17]), and other mental health conditions. Children with ASD + ADHD were significantly more likely to take psychotropic medication than children with ASD without ADHD. Among children with ASD + ADHD, males had higher odds of receiving behavioral treatment, whereas older children and adolescents were more likely to take psychotropic medication. A multidisciplinary approach is necessary to support the complex needs of these children.

Prevalence and Disparities in the Detection of Autism Without Intellectual Disability

BACKGROUND

Intellectual ability predicts functional outcomes for children with autism spectrum disorder (ASD). It is essential to classify ASD children with and without intellectual disability (ID) to aid etiological research, provide services, and inform evidence-based educational and health planning.

METHODS

Using a cross-sectional study design, data from 2000 to 2016 active ASD surveillance among 8-year-olds residing in the New York-New Jersey Metropolitan Area were analyzed to determine ASD prevalence with and without ID. Multivariable Poisson regression models were used to identify trends for ASD with ID (ASD-I) and without ID (ASD-N).

RESULTS

Overall, 4661 8-year-olds were identified with ASD. Those that were ASI-I were 1505 (32.3%) and 2764 (59.3%) were ASD-N. Males were 3794 (81.4%), 946 (20.3%) were non-Hispanic Black (Black), 1230 (26.4%) were Hispanic, and 2114 (45.4%) were non-Hispanic white (white). We observed 2-fold and 5-fold increases in the prevalence of ASD-I and ASD-N, respectively, from 2000-2016. Black children were 30% less likely to be identified with ASD-N compared with white children. Children residing in affluent areas were 80% more likely to be identified with ASD-N compared with children in underserved areas. A greater proportion of children with ASD-I resided in vulnerable areas compared with children with ASD-N. Males had higher prevalence compared with females regardless of ID status; however, male-to-female ratios were slightly lower among ASD-I compared with ASD-N cases.

CONCLUSIONS

One-in-3 children with ASD had ID. Disparities in the identification of ASD without ID were observed among Black and Hispanic children as well as among children residing in underserved areas.

An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics

ABSTRACT

Technological breakthroughs, together with the rapid growth of medical information and improved data connectivity, are creating dramatic shifts in the health care landscape, including the field of developmental and behavioral pediatrics. While medical information took an estimated 50 years to double in 1950, by 2020, it was projected to double every 73 days. Artificial intelligence (AI)-powered health technologies, once considered theoretical or research-exclusive concepts, are increasingly being granted regulatory approval and integrated into clinical care. In the United States, the Food and Drug Administration has cleared or approved over 160 health-related AI-based devices to date. These trends are only likely to accelerate as economic investment in AI health care outstrips investment in other sectors. The exponential increase in peer-reviewed AI-focused health care publications year over year highlights the speed of growth in this sector. As health care moves toward an era of intelligent technology powered by rich medical information, pediatricians will increasingly be asked to engage with tools and systems underpinned by AI. However, medical students and practicing clinicians receive insufficient training and lack preparedness for transitioning into a more AI-informed future. This article provides a brief primer on AI in health care. Underlying AI principles and key performance metrics are described, and the clinical potential of AI-driven technology together with potential pitfalls is explored within the developmental and behavioral pediatric health context.

Autism Spectrum Disorder: The New Asthma?

While autism spectrum disorder (ASD) has traditionally been diagnosed in specialty care, rising prevalence rates have strained specialist capacity and created significant diagnostic bottlenecks. With long wait times for specialist evaluations, pediatricians are increasingly being asked to play a greater role in identifying, diagnosing, and managing ASD within the medical home. In this commentary we draw parallels between the challenges pediatricians faced two decades ago learning how to manage pediatric asthma in the medical home, to those faced today in the field of primary care ASD management. Reflecting on the lessons learnt in primary care asthma management may help us construct a roadmap towards a higher and more consistent standard of ASD primary care for patients and their families.

The Scholarly Neglect of Black Autistic Adults in Autism Research

Black autistic individuals, regardless of age, have not been centered in autism research. Instead, they often exist on the margins-on the periphery of autism research. In fact, Black autistic adults are largely absent from the literature. Most participants in autism research are majority-white autistic individuals and families. In this conceptual article, we use intersectionality and Dis/ability Studies and Critical Race Theory theories to contextualize Black autistic adults' experiences. Second, we argue that systemic disparities and methodological concerns are two contributors to the scholarly neglect of Black autistic adults in autism research. Third, we provide guidelines to support researchers in moving from neglect to inclusive research with Black autistic adults.

Racial and Ethnic Differences in Rates and Age of Diagnosis of Autism Spectrum Disorder

This cohort study uses electronic health record data to assess racial and ethnic disparities in prevalence or median age of diagnosis of autism spectrum disorder in children.

A Retrospective Chart Review of Factors Impacting Psychotropic Prescribing Patterns and Polypharmacy Rates in Youth with Autism Spectrum Disorder during the COVID-19 Pandemic

High but variable rates of psychotropic polypharmacy (PP) in youth with autism spectrum disorder (ASD) have been reported in previous studies. The effect of the COVID-19 pandemic on prescribing patterns has not been well described. This study aims to examine the factors associated with psychotropic prescribing patterns, including rates of PP and multiclass polypharmacy (MPP) in youth with ASD during the COVID-19 pandemic. We examined the prescription records and clinical characteristics of youth aged between 3−21 years with a clinical diagnosis of ASD who were followed at an urban tertiary autism center psychiatry clinic between 1 January 2019, and 31 December 2020. For study purposes, we treated 2019 as the pre-pandemic year and 2020 as the pandemic year and compared the clinical characteristics of the “total clinic cohort (n = 898)” across two years. We examined the clinical characteristics of patients seen in both years (“paired-sample,” n = 473) and those seen only in 219 (“not-paired sample,” n = 378) to identify factors associated with the likelihood of patients’ return to clinic in 2020. As the total clinic cohort was a naturalistic sample containing duplicate patients, we created a separate data set by randomly assigning duplicate patients to one of the years (“random unique sample,” n = 898) and examined the clinical characteristics across two years. We defined PP and MPP broadly as the use of ≥2 unique medications (PP) and ≥2 unique medication classes (MPP) within a calendar year in this study. In the total clinic cohort, increased rates of PP (71.6% to 75.6%), MPP (61.9% to 67.8%, p = 0.027), and antidepressant prescriptions (56.9% to 62.9%, p = 0.028) were noted, although only the latter two were nominally significant. The paired-sample had a higher proportion of teens (31.0% vs. 39.7%, p < 0.001 and persons who self-identified as non-Hispanic (77.8% vs. 85.4%, p = 0.016)), higher rates of anxiety (78.9% vs. 48.7%, p < 0.001), ADHD (71.0% vs. 44.4%, p < 0.001), depression (23.9% vs. 13.0%, p < 0.001) and disruptive behavior (63.3% vs. 33.3%, p < 0.001) diagnoses, higher rates of antidepressants (63.4% vs. 48.7%, p < 0.001), ADHD medications (72.5% vs. 59.8%, p < 0.001), and antipsychotics (36.8% vs. 26.2%, p < 0.001) prescribed, and higher rates of PP (81.6% vs. 59.0%, p < 0.001) and MPP (71.0% vs. 50.5%, p < 0.001) than the not-paired sample. In the random unique sample, the patient group assigned to 2020 had higher rates of anxiety (75.0% vs. 60.2%, p < 0.001), ADHD (69.9% vs. 54.6%, p < 0.001), and disruptive behavior (57.9% vs. 45.4%, p < 0.001) diagnoses but the PP and MPP rates did not differ across years. Overall, we found high rates of PP and MPP, likely due to the broader definition of PP and MPP used in this study than those in other studies as well as the study site being a tertiary clinic. While our study suggests a possible impact of the COVID-19 pandemic on comorbidity rates and prescribing patterns, a replication study is needed to confirm how pandemic-related factors impact prescribing patterns and polypharmacy rates in youth with ASD.

Duration of untreated autism in rural America: emerging public health crisis

The rural areas have been at the receiving end amidst mental health disparity across the USA. There is a serious and concerning divide among ones with autism spectrum disorders (ASDs) living in underserved areas as compared to urban residents. With the higher than ever prevalence of ASD as per the recent reports of the Centers for Disease Control and Prevention; there is a need for a closer look at the prevailing issues. The trends are reflecting marked underdiagnosis, late diagnosis, lack of evidence-based diagnostic measures and interventions. These factors interplay in worsening the mental health crisis and there is an urgent need for corrective measures to address these highly modifiable problems.