Developing Autism Screening Criteria for the Brief Infant Toddler Social Emotional Assessment (BITSEA)

Brief Report: Relationships Between Caregiver-Reported Externalizing and Internalizing Behaviors and the Modified Checklist for Autism in Toddlers

PURPOSE

Early detection and intervention are associated with improved outcomes for autistic children. Thus, it is important to understand factors influencing early screening tools designed to detect autism. This study examined the relationship between caregiver-reported emotional and behavioral symptoms and children's scores on a commonly used autism screening questionnaire, the Modified Checklist for Autism in Toddlers-Revised with Follow-Up (M-CHAT-R/F).

METHODS

Toddlers were recruited from four primary care clinics between 2018 and 2021. Their caregivers completed the M-CHAT-R/F as well as the Child Behavior Checklist (CBCL), a well-validated, normed measure of emotional and behavioral functioning. Correlational and group analyses were evaluated to examine relationships between CBCL scales and M-CHAT-R/F scores.

RESULTS

1765 toddlers were recruited for the study. CBCL scores for the internalizing, externalizing, autism, ADHD, and anxiety scales were all modestly positively correlated with M-CHAT-R/F scores. Compared to toddlers with elevated autism scale scores only, toddlers with elevations in both autism and ADHD/externalizing scales had higher M-CHAT-R/F scores. In contrast, no significant difference in scores were found between toddlers with elevated autism scale scores only compared to those with elevated scores on both autism and internalizing scales.

CONCLUSION

Findings suggest that, for children with elevated autism behaviors, the presence of externalizing symptoms, including ADHD-related concerns, is associated with elevated scores on the M-CHAT-R/F. In contrast, internalizing symptoms did not show an association with elevated M-CHAT-R/F scores among toddlers with elevated autism-related behaviors. Interpretation of the M-CHAT-R/F should include consideration of co-occurring psychiatric conditions, especially externalizing conditions such as ADHD.

Aperiodic electrophysiological activity in preterm infants is linked to subsequent autism risk

Approximately 7% of preterm infants receive an autism spectrum disorder (ASD) diagnosis. Yet, there is a significant gap in the literature in identifying prospective markers of neurodevelopmental risk in preterm infants. The present study examined two electroencephalography (EEG) parameters during infancy, absolute EEG power and aperiodic activity of the power spectral density (PSD) slope, in association with subsequent autism risk and cognitive ability in a diverse cohort of children born preterm in South Africa. Participants were 71 preterm infants born between 25 and 36 weeks gestation (34.60 ± 2.34 weeks). EEG was collected during sleep between 39 and 41 weeks postmenstrual age adjusted (40.00 ± 0.42 weeks). The Bayley Scales of Infant Development and Brief Infant Toddler Social Emotional Assessment (BITSEA) were administered at approximately 3 years of age adjusted (34 ± 2.7 months). Aperiodic activity, but not the rhythmic oscillatory activity, at multiple electrode sites was associated with subsequent increased autism risk on the BITSEA at three years of age. No associations were found between the PSD slope or absolute EEG power and cognitive development. Our findings highlight the need to examine potential markers of subsequent autism risk in high-risk populations other than infants at familial risk.

Effectiveness of Screening in Early Intervention Settings to Improve Diagnosis of Autism and Reduce Health Disparities

IMPORTANCE

The American Academy of Pediatrics recommends referring children at elevated risk of autism spectrum disorder (ASD) for Part C early intervention (EI) services, but notes that EI services often fail to provide ASD screening.

OBJECTIVE

To evaluate the hypothesis that a multistage screening protocol for ASD implemented in 3 EI settings will increase autism detection, especially among Spanish-speaking families.

DESIGN, SETTING, AND PARTICIPANTS

Difference-in-differences analyses with propensity score weighting of a quasi-experimental design using administrative data on 3 implementation EI agencies and 9 comparison EI agencies from 2012 to 2018 provided by the Massachusetts Department of Public Health. Eligible children were aged 14 to 36 months, enrolled in EI, had no prior ASD diagnosis or medical condition precluding participation, and had parents who spoke English or Spanish. The final analytic sample included 33 326 unique patients assessed across 150 200 person-quarters.

EXPOSURES

Multistage ASD assessment protocol including ASD screening questionnaires, observational screener, and diagnostic evaluation.

MAIN OUTCOMES AND MEASURES

Increased incidence of ASD diagnoses as documented in Department of Public Health records and reductions in language-associated health care disparities.

RESULTS

Implementation of screening at 3 EI sites was associated with a significant increase in the rate of ASD diagnoses (incidence rate ratios [IRR], 1.6; 95% CI, 1.3-2.1; P < .001), representing an additional 8.1 diagnoses per 1000 children per quarter. Among Spanish-speaking families, screening was also associated with a significant increase in the rate of ASD diagnoses (IRR, 2.6; 95% CI, 1.6-4.3; P < .001), representing 15.4 additional diagnoses per 1000 children per quarter-a larger increase than for non-Spanish-speaking families (interaction IRR, 1.8; 95% CI, 1.0-3.1; P = .005). Exploratory analyses revealed that screening was associated with a larger increase in the rate of ASD diagnoses among boys (IRR, 1.8; 95% CI, 1.4-2.3; P < .001) than among girls (IRR, 1.1; 95% CI, 0.6-1.7; P = .84).

CONCLUSIONS AND RELEVANCE

In this study, associations between increased rates of ASD diagnoses and reductions in disparities for Spanish-speaking households support the effectiveness of multistage screening in EI. This study provides a comprehensive evaluation of ASD screening in EI settings as well as a rigorous evaluation of ASD screening in any setting with a no-screening comparison condition. Given that the intervention included multiple components, mechanisms of action warrant further research, as do disparities by child sex.

A Taxonomy of Reported Harms in Pediatric Autism Spectrum Disorder Screening: Provider and Parent Perspectives

The U.S. Preventive Services Task Force (USPSTF) report on screening for Autism Spectrum Disorder (ASD) highlighted the need for research that examines the harms potentially associated with screening so as to assess the overall net benefit of universal screening. In response, this study engages qualitative, semi-structured interviews to generate a taxonomy outlining potential harms reported by parents and providers (pediatricians and Early Intervention providers) with experience in screening young children for ASD. Potential harms emerged including: physical, psychological, social, logistical/financial, opportunity cost, attrition, and exacerbation of non-targeted disparities. Respondents reported harms being experienced by the toddlers, parents, and providers. The harms reported highlight opportunities for providers to offer resources that mitigate the potential for these unintended consequences.

The Fort McMurray Mommy Baby Study: A Protocol to Reduce Maternal Stress Due to the 2016 Fort McMurray Wood Buffalo, Alberta, Canada Wildfire

Introduction: Data show that maternal stress triggered by exposure to a natural disaster before, during or just after pregnancy is associated with adverse pregnancy and newborn outcomes. In this paper, the first aim is to describe our efforts to test a simple, low-cost intervention to large numbers of women following a major natural disaster. The second aim is to outline the challenges faced and lessons learned during the execution of this natural disaster study. Methods: The setting was the May 2016 Fort McMurray Wood Buffalo wildfire in northern Alberta, Canada. Women who were pregnant or preconception at the time of the disaster were invited to participate via social media. This prospective cohort study included a randomized controlled trial to test the effectiveness of an expressive writing intervention on the levels of prenatal maternal stress and maternal, birth, and early childhood outcomes. At recruitment and at multiple timepoints postpartum, a battery of questionnaires was administered to evaluate objective and subjective stress exposure to the fire as well as maternal mental health, resilience and its contributing factors as well as infant developmental milestones. Qualitative content analysis of the expressive writing was conducted. Discussion: There is an increasing need to develop effective, wide-spread, rapid, and low-cost interventions to reduce prenatal maternal stress, increase resilience, and improve pregnancy outcomes following a natural disaster. Though analysis of data is ongoing, we highlight the strengths of this study which include strong community participation, rapid recruitment of eligible participants, low-cost intervention and data acquisition, and successful testing of the intervention. We acknowledge the challenges we encountered including the high rate of participant disqualifications or losses due to incomplete collection of online data; evacuation, dispersal, and inconsistent return to homes; and the high levels of stress accumulated post-disaster which led to inability to complete the study. Despite potential challenges, there remains a need for such research amid natural disasters.

Third trimester maternal vitamin D and early childhood socioemotional development

BACKGROUND

Whether maternal vitamin D affects offspring socioemotional development in early childhood has been underexplored.

OBJECTIVES

This study examined associations between maternal vitamin D during in the 3rd trimester and offspring socioemotional development between 30 and 59 months.

METHODS

Data from 87 maternal-offspring pairs enrolled in the National Children's Study were used. Total plasma maternal vitamin D (25-hydroxyergocalciferol + 25-hydroxycholecalciferol) was measured between 28 and 35 gestational weeks and categorised as quartiles (Q). Multivariable regression models, adjusting for maternal race/ethnicity, education, and prepregnancy body mass index (BMI [kg/m² ]), were used to estimate the association between vitamin D and offspring scores on the Brief Infant-Toddler Social and Emotional Assessment (BITSEA).

RESULTS

The mean (standard deviation) vitamin D concentration was 86.5 (27.8) nmol/L. The median (range) BITSEA problem score was 6.0 (0.0-30.0), and competence score was 19.0 (7.0-22.0). Maternal vitamin D was inversely related to offspring problem scores. Compared to offspring of women with 25(OH)D in Q1, offspring problem scores were -4.80 (95% confidence interval [CI] -8.29, -1.33) units lower for Q2 vs Q1, -5.64 (95% CI -9.60, -1.68) units lower for Q3 vs Q1, and -4.70 (95% CI -8.59, -0.82) units lower for Q4 vs Q1. Vitamin D was not associated with offspring competence score.

CONCLUSIONS

Higher maternal vitamin D was associated with lower offspring behaviour problems and not associated with socioemotional competence. These data indicate the association of maternal vitamin D and offspring development may be dependent on the specific developmental component being investigated.

Understanding How Parents Make Meaning of Their Child's Behaviors During Screening for Autism Spectrum Disorders: A Longitudinal Qualitative Investigation

A family's journey in understanding their child's behaviors in relation to Autism Spectrum Disorders (ASD) frequently begins with screening. This study aimed to characterize the interpretive processes that unfold for parents. We employed longitudinal interviews with 19 families engaged in a community-based multi-stage screening protocol. Parents participated in 1-6 interviews dependent upon children's length of engagement in the screening protocol; data were analyzed through modified grounded theory. Parents who moved towards understanding their child's behaviors as ASD expressed (1) sensitization to ASD symptoms, (2) differentiation from other developmental conditions, and (3) use of the ASD diagnosis to explain the etiology of concerning behaviors. Identifying interpretive processes involved during ASD screening provides new opportunities for shared decision-making.

Detection of Early Warning Signs in Autism Spectrum Disorders: A Systematic Review

Due to the exponential increase of autism spectrum disorders’ prevalence in Western countries, it is necessary to improve early detection and intervention to enhance developmental milestones. This systematic review identified the most effective screening instrument, which can be used at an early age and which identifies the maximum number of autism cases. We identified several instruments with adequate predictive properties—the Autism Parent Screen for Infants (APSI), Battelle Development Inventory, second edition (BDI-2); Brief Infant-Toddler Social and Emotional Assessment (BITSEA); First Year Inventory (FYI); Infant-Toddler Checklist/Communication and Symbolic Behavior Scales Developmental Profile (ITC/CSBS-DP); Program of Research and Studies on AUTISM (PREAUT-Grid); Checklist for Early Signs of Developmental Disorders (CESDD); Social Attention and Communication Study (SACS); and the Screening Tool for Autism in Toddlers and Young Children (STAT)—that can be applied from 12 months of age in Western countries. The ITC/CSBS-DP has been proposed for universal screening from 12 months of age onwards, complemented by the Modified Checklist for Autism in Toddlers, Revised/Revised with Follow-Up (M-CHAT-R/F), which can be used from 15 months of age onwards. This strategy could improve early detection in at-risk children within the current health system, thus allowing for early intervention.

Relationship Between Early Social-Emotional Behavior and Autism Spectrum Disorder: A High-Risk Sibling Study

Social-emotional behavior in autism spectrum disorder (ASD) was examined among high-risk (HR; siblings of children diagnosed with ASD) and low-risk (LR; no family history of ASD) toddlers. Caregivers completed the Infant-Toddler Social Emotional Assessment (ITSEA) at 18 months, and blind diagnostic assessment for ASD was conducted at 36 months. Results indicated impairment in social-emotional functioning among HR toddlers subsequently diagnosed with ASD compared to other HR and LR toddlers, such that ITSEA domains (Internalizing, Dysregulation, Competence) and subdomains predicted later ASD symptoms and diagnosis. Receiver operating curves of optimal ITSEA cutoffs ranged from 0.23 to 0.44 for sensitivity, and 0.74 to 0.89 for specificity. Although classification accuracy for ASD was limited, group differences highlight the importance of considering social-emotional development when assessing ASD risk.

A Model of Intervention and Implementation of Quality Building and Quality Control in Childcare Centers to Strengthen the Mental Health and Development of 1-3-Year Olds: Protocol for a Randomized Controlled Trial of Thrive by Three

BACKGROUND

Universal, high-quality childcare offers a unique opportunity to prevent developmental trajectories leading to mental health problems. Yet, growing evidence has shown that the process quality of Norwegian childcare centers varies considerably, and that research-based models for quality building are significantly lacking.

OBJECTIVE

To examine whether a model for quality building in childcare centers, Thrive by Three, increases the quality of child-caregiver interactions, and promotes child development, well-being, and mental health.

METHODS

The Thrive by Three study is a clustered randomized controlled trial involving 187 toddler groups in childcare centers across 7 municipalities within southern and central Norway. Each center is randomly allocated to the intervention or wait-list control group. Data are collected at 4 points: preintervention (T1), midway (T2), postintervention (T3), and 1-year postintervention (T4). Primary outcomes are changes in childcare quality measured by the Classroom Assessment Scoring System toddler version (CLASS), Student-Teacher Relationship Scale, Short Form (STRS-SF), and Life in Early Childhood Programs (LECP), as well as child development and mental health measured by The Brief Infant Toddler Social and Emotional Assessment (BITSEA, parent and teacher report), the Caregiver-Teacher Report Form (C-TRF), and Child Behavior Checklist (parent report) from the Achenbach System of Empirically Based Assessment (ASEBA) from 1.5 to 5 years, and child well-being measured by the Leiden Inventory for Child's Well-Being in Day Care (LICW-D). Secondary outcomes are child cortisol levels, assessed in a subsample of 372 children.

RESULTS

As of August 2020, a total of 1531 children and 769 staff from 187 toddler groups were recruited. Because of turnover, the recruitment of staff will be ongoing until August 2020. As of January 2020, the intervention group has been working with Thrive by Three for 1.5 years. Data at T1, T2, and T3 from both the intervention and control groups have been completed and T4 will be completed in August 2020.

CONCLUSIONS

This study makes an important contribution to the field of quality building in childcare centers. The results will provide greater insight into how high quality can be obtained and the effects of high-quality early childcare on child mental health. This in turn will be significant for policymakers and to the Norwegian society at large.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03879733; https://clinicaltrials.gov/ct2/show/NCT03879733 and Norwegian Research Council 260624/H10; https://prosjektbanken.forskningsradet.no/#/project/NFR/260624/Sprak=en.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/17726.

The association between social emotional development and symptom presentation in autism spectrum disorder

Understanding differences in social-emotional behavior can help identify atypical development. This study examined the differences in social-emotional development in children at increased risk of an autism spectrum disorder (ASD) diagnosis (infant siblings of children diagnosed with the disorder). Parents completed the Brief Infant-Toddler Social-Emotional Assessment (BITSEA) to determine its ability to flag children with later-diagnosed ASD in a high-risk (HR) sibling population. Parents of HR (n = 311) and low-risk (LR; no family history of ASD; n = 127) children completed the BITSEA when their children were 18 months old and all children underwent a diagnostic assessment for ASD at age 3 years. All six subscales of the BITSEA (Problems, Competence, ASD Problems, ASD Competence, Total ASD Score, and Red Flags) distinguished between those in the HR group who were diagnosed with ASD (n = 84) compared to non-ASD-diagnosed children (both HR-N and LR). One subscale (BITSEA Competence) differentiated between the HR children not diagnosed with ASD and the LR group. The results suggest that tracking early social-emotional development may have implications for all HR children, as they are at increased risk of ASD but also other developmental or mental health conditions.

Autism spectrum disorder risk prediction: A systematic review of behavioral and neural investigations

A reliable diagnosis of autism spectrum disorder (ASD) is difficult to make until after toddlerhood. Detection in an earlier age enables early intervention, which is typically more effective. Recent studies of the development of brain and behavior in infants and toddlers have provided important insights in the diagnosis of autism. This extensive review focuses on published studies of predicting the diagnosis of autism during infancy and toddlerhood younger than 3 years using behavioral and neuroimaging approaches. After screening a total of 782 papers, 17 neuroimaging and 43 behavioral studies were reviewed. The features for prediction consist of behavioral measures using screening tools, observational and experimental methods, brain volumetric measures, and neural functional activation and connectivity patterns. The classification approaches include logistic regression, linear discriminant function, decision trees, support vector machine, and deep learning based methods. Prediction performance has large variance across different studies. For behavioral studies, the sensitivity varies from 20% to 100%, and specificity ranges from 48% to 100%. The accuracy rates range from 61% to 94% in neuroimaging studies. Possible factors contributing to this inconsistency may be partially due to the heterogeneity of ASD, different targeted populations (i.e., high-risk group for ASD and general population), age when the features were collected, and validation procedures. The translation to clinical practice requires extensive further research including external validation with large sample size and optimized feature selection. The use of multi-modal features, e.g., combination of neuroimaging and behavior, is worth further investigation to improve the prediction accuracy.

Multi-stage Screening in Early Intervention: A Critical Strategy for Improving ASD Identification and Addressing Disparities

Health disparities in ASD detection affect children's access to subsequent interventions. We examined potential disparities in implementation of a multi-stage ASD screening and diagnostic evaluation protocol in Part C Early Intervention with 4943 children ages 14-36 months (mean 22.0 months; 62.9% boys, 73.3% children of color, 34.9% non-English-primary language, 64.5% publicly-insured). Participation and follow-through were high (64.9% and 65.3% at first- and second-stage screening, respectively, 84.6% at diagnostic evaluation). Logistic regressions identified predictors of screening participation and outcomes at each stage; demographic differences (race, language, public insurance) were observed only at first-stage screening and reflected higher participation for children of color and higher positive screens for publicly-insured children. Results suggest the multi-stage screening protocol shows promise in addressing disparities in early diagnosis.

What Drives Detection and Diagnosis of Autism Spectrum Disorder? Looking Under the Hood of a Multi-stage Screening Process in Early Intervention

U.S. guidelines for detecting autism emphasize screening and also incorporate clinical judgment. However, most research focuses on the former. Among 1,654 children participating in a multi-stage screening protocol for autism, we used mixed methods to evaluate: (1) the effectiveness of a clinical decision rule that encouraged further assessment based not only on positive screening results, but also on parent or provider concern, and (2) the influence of shared decision-making on screening administration. Referrals based on concern alone were cost-effective in the current study, and reported concerns were stronger predictors than positive screens of time-to-complete referrals. Qualitative analyses suggest a dynamic relationship between parents' concerns, providers' concerns, and screening results that is central to facilitating shared decision-making and influencing diagnostic assessment.

Implementing systems-based innovations to improve access to early screening, diagnosis, and treatment services for children with autism spectrum disorder: An Autism Spectrum Disorder Pediatric, Early Detection, Engagement, and Services network study

In 2013, the National Institute of Mental Health funded five trials of unique, multicomponent, systems-based innovations designed to improve access to early screening, diagnosis, and treatment of autism spectrum disorder-collectively known as the Autism Spectrum Disorder Pediatric, Early Detection, Engagement, and Services Network. As part of an ongoing effort to pool data and learn from shared experience, we collected information across all studies about innovation components and implementation strategies. First, each study group completed standardized checklists based on the Template for Intervention Description and Replication and the Expert Recommendation for Implementing Change. Then, we interviewed principal and co-investigators of each study (n = 9) to further explore innovation components and assess barriers and facilitators to implementation. Innovation strategies were diverse (five different autism spectrum disorder screeners were used, 40% included early intervention trainings, 60% involved new technology). Common implementation strategies included developing stakeholder relationships and provider trainings. Barriers included inefficient systems of care, difficulty engaging families in the innovations, provider attitudes, and organizational culture (e.g. difficulty changing clinic processes). These findings suggest that-despite diverse settings and a variety of innovation content-common facilitators and challenges exist in implementing innovations to enhance access to early autism spectrum disorder screening, diagnosis, and treatment.

Toddlers with Autism Spectrum Disorder Can Use Language to Update Their Expectations About the World

This study examined if two-year-olds with ASD can update mental representations on the basis of verbal input. In an eye-tracking study, toddlers with ASD and typically-developing nonverbal age-matched controls were exposed to visual or verbal information about a change in a recently encoded scene, followed by an outcome that was either congruent or incongruent with that information. Findings revealed that both groups looked longer at incongruent outcomes, regardless of information modality, and despite the fact that toddlers with ASD had significantly lower measured verbal abilities than TD toddlers. This demonstrates that, although there is heterogeneity on the individual level, young toddlers with ASD can succeed in updating their mental representations on the basis of verbal input in a low-demand task.

Early childhood behavioral features that discriminate autism from other developmental problems in Japan

PROBLEM

The criteria for early detection of autism spectrum disorder (ASD) and its discrimination from other developmental problems (ODP) are not clear. The Social Attention and Communication Study, which identified methods for early identification of ASD in community settings, was modified to the Japanese situation, and we examined its discriminant validity.

METHODS

This study followed a cohort of newborns in one town for 4 years. Structured behavioral assessments were added to the standardized health examination and performed five times during toddlerhood. Of the 264 children included in the statistical analysis, four were diagnosed with ASD, and four were diagnosed with ODP.

FINDINGS

A canonical discrimination analysis indicated two significant functions. Canonical 1, which involved disturbances of "eye contact" at 27 months and "concept comprehension" at 38 months, characterized both ASD and ODP. Canonical 2, which involved disturbances of "response name call" at 15 months, "showing" at 27 months, and negative loading of vocabulary development at 20 months, discriminated between ASD and ODP. The canonical plot showed good separation, but a few cases were misclassified.

CONCLUSIONS

Evaluations of early behavioral signs by public health nurses during general toddler examinations could be useful and convenient.

Screening Accuracy of the Brief Infant Toddler Social-Emotional Assessment to Identify Autism Spectrum Disorder in Toddlers Born at Less Than 30 Weeks' Gestation

Despite the higher prevalence of autism spectrum disorder (ASD) in children born preterm, valid screening tools for use in preterm populations are lacking. We aimed to evaluate the screening accuracy of the Brief Infant Toddler Social-Emotional Assessment (BITSEA) and to compare it to the Pervasive Developmental Disorders Screening Test-II, Stage 2, Developmental Clinic Screener (PDDST-II-DCS) in identifying ASD diagnosis in toddlers born at < 30 weeks' gestation. Caregivers (94% mothers) of 555 children completed questionnaires (BITSEA, PDDST-II-DCS, socio-demographics) when the children (58% male) were 18-36 months. Medical charts were abstracted 3.5 years later and showed that 4% (n = 24) of children had an ASD diagnosis. BITSEA competence (sensitivity = .74; specificity = .76) and ASD (sensitivity = .70; specificity = .73) subscales demonstrated better accuracy in identifying ASD compared to the recommended PDDST-II-DCS cut-score (sensitivity = .73; specificity = .64), specifically as it related to specificity. Additional studies are needed in other preterm populations to replicate these findings.