Validation of the Developmental Check-In Tool for Low-Literacy Autism Screening

Screening Options in Autism Telediagnosis: Examination of TAP, M-CHAT-R, and DCI Concordance and Predictive Value in a Telediagnostic Model

Tele-assessment of autism in early childhood has increased. However, it is unclear how autism screening tools (M-CHAT-R, DCI) function as part of tele-assessment and relate to a commonly used tele-assessment instrument, the TAP. 361 families from a clinically referred sample of children (mean age: 27.63 months, sd = 4.86 months) completed the M-CHAT-R and DCI prior to a tele-assessment visit utilizing the TAP. Data was collected on demographic background, measure scores, and diagnostic outcome. No significant differences in measure scores or diagnostic findings emerged in age at referral, age group, age at diagnosis, or child sex, ethnicity, or racial background. The M-CHAT-R and DCI correlated strongly and positively. Older age was associated with lower risk scores on screening instruments. Children with autism had significantly higher scores on all screener and subdomain scores, with the exception of DCI Behavior. Subdomains of the DCI emerged as the strongest predictor of diagnostic outcome. Both the DCI total score and the M-CHAT-R significantly related to diagnostic outcome and TAP score in this tele-assessment model, regardless of child age or sex. Findings also support use of the DCI for children under 24 months of age.

Development of a Novel Telemedicine Tool to Reduce Disparities Related to the Identification of Preschool Children with Autism

The wait for ASD evaluation dramatically increases with age, with wait times of a year or more common as children reach preschool. Even when appointments become available, families from traditionally underserved groups struggle to access care. Addressing care disparities requires designing identification tools and processes specifically for and with individuals most at-risk for health inequities. This work describes the development of a novel telemedicine-based ASD assessment tool, the TELE-ASD-PEDS-Preschool (TAP-Preschool). We applied machine learning models to a clinical data set of preschoolers with ASD and other developmental concerns (n = 914) to generate behavioral targets that best distinguish ASD and non-ASD features. We conducted focus groups with clinicians, early interventionists, and parents of children with ASD from traditionally underrepresented racial/ethnic and linguistic groups. Focus group themes and machine learning analyses were used to generate a play-based instrument with assessment tasks and scoring procedures based on the child's language (i.e., TAP-P Verbal, TAP-P Non-verbal). TAP-P procedures were piloted with 30 families. Use of the instrument in isolation (i.e., without history or collateral information) yielded accurate diagnostic classification in 63% of cases. Children with existing ASD diagnoses received higher TAP-P scores, relative to children with other developmental concerns. Clinician diagnostic accuracy and certainty were higher when confirming existing ASD diagnoses (80% agreement) than when ruling out ASD in children with other developmental concerns (30% agreement). Utilizing an equity approach to understand the functionality and impact of tele-assessment for preschool children has potential to transform the ASD evaluation process and improve care access.

Autism spectrum disorder in the US: Have we done enough?

Autism spectrum disorders (ASD) are a collection of neurodevelopmental disabilities, defined by the presence of social, behavioral and communication deficits, that are typically recognized during the first three years of life. Autism has emerged as a significant public health concern, yet there are no answers to its increasing rates. Recent data from the Autism and Developmental Disability Monitoring (ADDM) Network reported that 1 in every 36 (2.8 %) 8-year-old children were found to have autism in 2020. The current research attempts to identify the major challenges around autism care across the US such as: Inconsistent diagnosis and referral leading to delayed start of service, unequal availability of trained licensed Applied Behavioral Analysis (ABA) therapist, Inconsistent implementation of ABA interventions at various settings, Lack of support, education services and vocational opportunities for children transitioning into adulthood. This article also proposes and discusses possible strategies for mitigating those challenges.

Sensitivity and Specificity of the Modified Checklist for Autism in Toddlers (Original and Revised): A Systematic Review and Meta-analysis

Importance

The Modified Checklist for Autism in Toddlers (M-CHAT) and the M-CHAT, Revised With Follow-up (M-CHAT-R/F)-henceforth referred to as M-CHAT(-R/F)-are the most commonly used toddler screeners for autism spectrum disorder (ASD). Their use often differs from that in the original validation studies, resulting in a range of estimates of sensitivity and specificity. Also, given the variability in reports of the clinical utility of the M-CHAT(-R/F), researchers and practitioners lack guidance to inform autism screening protocols.

Objective

To synthesize variability in sensitivity and specificity of M-CHAT(-R/F) across multiple factors, including procedures for identifying missed cases, likelihood level, screening age, and single compared with repeated screenings.

Data Sources

A literature search was conducted with PubMed, Web of Science, and Scopus to identify studies published between January 1, 2001, and August 31, 2022.

Study Selection

Articles were included if the studies used the M-CHAT(-R/F) (ie, original or revised version) to identify new ASD cases, were published in English-language peer-reviewed journals, included at least 10 ASD cases, reported procedures for false-negative case identification, screened children by 48 months, and included information (or had information provided by authors when contacted) needed to conduct the meta-analysis.

Data Extraction and Synthesis

The systematic review and meta-analysis was conducted within the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. The Quality Assessment of Diagnostic Accuracy Studies-2 tool evaluated bias in sample selection. Data extraction and quality assessment were performed by 2 authors independently. The overall diagnostic accuracy of the M-CHAT(-R/F) was assessed with the hierarchic summary receiver operating characteristic (HSROC) model.

Main Outcomes and Measures

Sensitivity, specificity, diagnostic odds ratios, and HSROC curves of M-CHAT(-R/F).

Results

The review included 50 studies with 51 samples. The pooled sensitivity of M-CHAT(-R/F) was 0.83 (95% CI, 0.77-0.88), and the pooled specificity was 0.94 (95% CI, 0.89-0.97). Heterogeneity analyses revealed greater diagnostic accuracy for low- vs high-likelihood samples, a concurrent vs prospective case confirmation strategy, a large vs small sample size, use of M-CHAT(-R/F) Follow-up, and non-English vs English only.

Conclusions and Relevance

Overall, results of this study suggest the utility of the M-CHAT(-R/F) as an ASD screener. The wide variability in psychometric properties of M-CHAT(-R/F) highlights differences in screener use that should be considered in research and practice.

Black Families' Experiences of Developmental Screening: Review of Well-Child Visits to Inform Enhanced Autism Spectrum Disorder Risk Assessment

OBJECTIVE

Black families face barriers to early diagnosis of autism spectrum disorder (ASD). Most work emphasizes systemic delays to diagnosis rather than how existing screening procedures may affect identification. Our goal was to examine pediatric care visits in which screening was most likely to occur to document behaviors of parents and providers.

METHODS

We examined 18- to 36-month primary care visits in our electronic health record system (n = 99) of thirty-nine 4- and 8-year-old Black children later diagnosed with ASD. We extracted qualitative and quantitative data and engaged in consensus coding. We captured whether formal screening occurred, the content of concerns of parents and providers, and referral patterns for follow-up care or evaluation.

RESULTS

Consistent with existing work, we found differences in parent and provider concerns and discrepancies in referral rates. Parents often endorsed concerns about language, sleeping or eating habits, behavior, or motor skills rather than ASD, but specific mention of ASD as a concern increased over time. Referrals for follow-up care were more likely when providers, not parents alone, expressed concerns about patient development.

CONCLUSION

Pediatric providers cannot place the burden on families to raise autism concerns. Although some level of developmental risk was noted at most visits for children later diagnosed with ASD, referrals were only made when providers were also concerned, and most of these were for speech-language evaluation. Ongoing work is necessary to better understand how existing care systems interact with diverse families to inform the creation of inclusive screening practices that mitigate diagnostic delays.

Examining Processes of Care Redesign: Direct Observation of Group Well-Child Care

We sought to describe processes of psychosocial screening and discussion with immigrant Latino families in the context of group well-child care. We conducted longitudinal direct observations of the 1-, 2-, 4-, and 6-month visits of 7 group well-child care cohorts at an academic pediatric clinic using unstructured observations of visit and group processes as well as structured observations to code facilitators' behavior. A range of psychosocial and social determinants of health topics were incorporated into discussions. In general, providers skillfully navigated group discussions, but inconsistently introduced the visit purpose. Asking participants to define psychosocial terms (eg, stress) and conversations about managing fussy infants were effective strategies to engage families in psychosocial discussions (eg, about postpartum depression). Some challenges with workflow were identified. Strategies to enhance screening and discussion of psychosocial topics may benefit from adaptation to maximize the effectiveness of this care mechanism.

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

ABSTRACT

This special article uses a biosocial-ecological framework to discuss findings in the literature on racial, ethnic, and sociodemographic diagnostic disparities in autism spectrum disorder. We draw explanations from this framework on the complex and cumulative influences of social injustices across interpersonal and systemic levels.

Get SET Early to Identify and Treatment Refer Autism Spectrum Disorder at 1 Year and Discover Factors That Influence Early Diagnosis

OBJECTIVES

To examine the impact of a new approach, Get SET Early, on the rates of early autism spectrum disorder (ASD) detection and factors that influence the screen-evaluate-treat chain.

STUDY DESIGN

After attending Get SET Early training, 203 pediatricians administered 57 603 total screens using the Communication and Symbolic Behavior Scales Infant-Toddler Checklist at 12-, 18-, and 24-month well-baby examinations, and parents designated presence or absence of concern. For screen-positive toddlers, pediatricians specified if the child was being referred for evaluation, and if not, why not.

RESULTS

Collapsed across ages, toddlers were evaluated and referred for treatment at a median age of 19 months, and those screened at 12 months (59.4% of sample) by 15 months. Pediatricians referred one-third of screen-positive toddlers for evaluation, citing lack of confidence in the accuracy of screen-positive results as the primary reason for nonreferral. If a parent expressed concerns, referral probability doubled, and the rate of an ASD diagnosis increased by 37%. Of 897 toddlers evaluated, almost one-half were diagnosed as ASD, translating into an ASD prevalence of 1%.

CONCLUSIONS

The Get SET Early model was effective at detecting ASD and initiating very early treatment. Results also underscored the need for change in early identification approaches to formally operationalize and incorporate pediatrician judgment and level of parent concern into the process.