Increasing Access to and Utilization of Behavioral Health Care Through Integrated Primary Care.

OBJECTIVES: To evaluate changes in access to and utilization of behavioral health (BH) services after the integration of psychologists into primary care clinics compared with clinics without integrated psychologists. METHODS: We integrated 4 of 12 primary care clinics within our academic health system. We used the median wait time for BH services as a proxy for changes in access and defined BH utilization as the percentage of primary care visits that resulted in contact with a BH clinician within 180 days. We compared changes in access and utilization from the year before integration (September 2015 to September 2016) with the 2 years after integration (October 2016 to October 2018) within integrated clinics and between integrated and nonintegrated clinics. We used difference-in-difference analysis to test the association of study outcomes with the presence of integrated psychologists. RESULTS: Access and utilization were similar across all practices before integration. After integration, BH utilization increased by 143% in integrated clinics compared with 12% in nonintegrated clinics. The utilization of BH services outside of the medical home (ie, specialty BH service) decreased for integrated clinics only. In clinics with integrated psychologists, 93% of initial BH visits happened on the same day as a need was identified. The median wait time for the 7% in integrated clinics who were not seen on the same day was 11.4 days (interquartile range = 5.3-17.7) compared with 48.3 days (interquartile range = 20.4-93.6) for nonintegrated clinics. CONCLUSIONS: A team-based integration model increased BH utilization and access.

Measuring intelligence in Autism and ADHD: Measurement invariance of the-Binet 5th edition and impact of subtest scatter on abbreviated IQ accuracy.

Scatter and heterogeneity in cognitive profiles is thought to be common in autism spectrum disorder (ASD), which may indicate differences in the construct of IQ. However, less research has investigated IQ scatter in attention-deficit/hyperactivity disorder (ADHD). Scatter is also thought to negatively impact the predictive validity of IQ summary scores, although there is research refuting this notion. Abbreviated IQ tests, such as the Stanford-Binet fifth edition (SB-5) abbreviated battery IQ (ABIQ), may be especially susceptible to the influence of scatter. We tested the measurement invariance of the SB-5 as well as the predictive validity of the ABIQ in predicting FSIQ in 1679 youth (21% female) ages 2-16 years with a clinical diagnosis of ASD or ADHD. Results indicated the SB-5 is measuring IQ the same way in ASD and ADHD. There were no differences between diagnostic groups in scatter between ABIQ (i.e., routing) subtests. Additionally, scatter was not related to dimensional autistic traits. Higher degree of scatter was associated with poorer predictive validity of the ABIQ and a higher likelihood of overestimating FSIQ, regardless of diagnosis. Overall, we found more similarities than differences between the ASD and ADHD groups. Our results show that the SB-5 ABIQ is generally a strong predictor of FSIQ in youth with neurodevelopmental disorders. However, the use of the SB-5 ABIQ in research and clinical applications, without consideration of scatter on routing subtests, is potentially problematic.

Provider Perspectives on Telehealth Services for Children With Autism Spectrum Disorder During the Coronavirus Disease 2019 Pandemic.

OBJECTIVE: The purpose of the current study was to explore provider perspectives on the strengths and challenges of telehealth services (e.g., behavioral interventions, physical, speech, and occupational therapy, medication management) for children with autism spectrum disorder during coronavirus disease 2019 related shutdowns. METHODS: From September 2020 to May 2021, we conducted qualitative interviews with 35 providers across multiple disciplines from 17 sites in the Autism Care Network. Qualitative data were analyzed using a framework approach and common themes were identified. RESULTS: Providers across clinical disciplines identified strengths of the virtual model, such as its flexibility and the opportunity it provided to see children in their home environment. They also indicated that some interventions worked better virtually than others, and that there were several factors that impacted their success. Respondents were generally satisfied providing parent-mediated interventions but expressed mixed satisfaction in using telehealth for direct-to-patient care. CONCLUSIONS: Results suggest that telehealth services for children with autism spectrum disorder could be a helpful tool in decreasing barriers and improving service delivery, especially when tailored to the individual needs of the patient. More research is needed on the factors contributing to its success in order to eventually inform clinical guidelines regarding the prioritization of children seen for in-person visits.

Sex-Based Differences in Autism Symptoms in a Large, Clinically-Referred Sample of Preschool-Aged Children with ASD.

Previous research has identified possible sex-based differences in restricted and repetitive behaviors in autism spectrum disorder (ASD). However, this finding is mixed, particularly among preschool-aged children. We investigated the presence of sex-based differences in parent-rated ASD symptomatology, using the Autism Spectrum Rating Scale (ASRS). Participants consisted of a large (n = 481,100 female), clinically-referred sample of preschoolers (ages 2-5) diagnosed with ASD (NVIQ: M = 67.11, SD = 21.79). Females had less severe symptoms on the Total, Unusual Behaviors, DSM-5, and Stereotypy scales on the ASRS. The effects were small-to-medium, but statistically significant. There was evidence of differential relationships between nonverbal IQ and ASRS scores among males and females. This study provides additional evidence of sex-based differences in ASD symptoms present from an early age.

Optimizing Parent Training to Improve Oral Health Behavior and Outcomes in Underserved Children with Autism Spectrum Disorder.

A randomized controlled trial established initial efficacy of a novel parent training (PT) intervention for improving oral hygiene and oral health in underserved children with ASD (Fenning et al., 2022), a population at risk for unmet dental needs. The present study describes our emic approach to PT development alongside treatment outcome data examining feasibility, acceptability, and engagement. Families with Medicaid-eligible children with ASD ages 3 to 13 years (85% male, 62% with intellectual disability) were assigned to receive PT (n = 60) or a psychoeducational toolkit (n = 59). Results indicate strong retention, fidelity, and adherence, with quantitative and qualitative metrics revealing high treatment satisfaction and utilization. Discussion focuses on implications for individualizing treatment to optimize engagement of underrepresented families.

Child Behavior Problems and Parenting Stress in Underserved Families of Children with ASD: Investigation of Family Resources and Parenting Self-efficacy.

Behavior problems in children with autism spectrum disorder (ASD) may exacerbate parenting stress. Parenting self-efficacy and family resources may influence this association. We examined cross-sectional statistical mediation effects of parenting self-efficacy on the relationship between child behavior problems and parenting stress and hypothesized that family-level resources moderated this indirect effect. Participants included 132 underserved (Medicaid-eligible) children with ASD (ages 3-13) with racial/ethnic diversity; many (63%) had intellectual disability. Greater externalizing problems were linked with lower parenting self-efficacy, which in turn was associated with increased parenting stress. A larger mediation effect was observed for families with fewer resources. A plausible alternative model (parenting stress mediating parenting self-efficacy) exhibited poorer fit. Implications for family supports and benefits of longitudinal follow-up are discussed.

Parent Training for Dental Care in Underserved Children With Autism: A Randomized Controlled Trial.

OBJECTIVE: Children with autism spectrum disorder (ASD) have difficulty participating in dental care and experience significant unmet dental needs. We examined the efficacy of parent training (PT) for improving oral hygiene and oral health in underserved children with ASD. METHOD: Families of Medicaid-eligible children with ASD (ages 3-13 years, 85% boys, 62% with intellectual disability) reporting difficulty with dental care participated in a 6-month randomized controlled trial comparing PT (n = 60) with a psychoeducational dental toolkit (n = 59). Primary outcomes were parent-reported frequency of twice-daily toothbrushing and dentist-rated visible plaque. Secondary outcomes included parent-reported child behavior problems during home oral hygiene and dentist-rated caries. Dentists were blind to intervention assignment. Analyses were intention to treat. RESULTS: Retention was high at posttreatment (3 months, 93%) and 6-month follow-up (90%). Compared with the toolkit intervention, PT was associated with increased twice-daily toothbrushing at 3 (78% vs 55%, respectively; P < .001) and 6 (78% vs 62%; P = .002) months and a reduction in plaque at 3 months (intervention effect, -0.19; 95% confidence interval [CI], -0.36 to -0.02; P = .03) and child problem behaviors at 3 (-0.90; 95% CI, -1.52 to -0.28; P = .005) and 6 (-0.77; 95% CI, -1.39 to -0.14; P = .02) months. Comparatively fewer caries developed in children receiving the PT intervention over 3 months (ratio of rate ratios, 0.73; 95% CI, 0.54 to 0.99; P = .04). CONCLUSIONS: PT represents a promising approach for improving oral hygiene and oral health in underserved children with ASD at risk for dental problems.

Preliminary Validation and Feasibility of the Autism Detection in Early Childhood-Virtual (ADEC-V) for Autism Telehealth Evaluations in a Hospital Setting.

This study provided preliminary validation of the Autism Detection in Early Childhood-Virtual (ADEC-V) for telehealth assessment of possible autism. Participants were 121 children (24.79% female) aged 18-47 months who completed telehealth evaluations at a large pediatric hospital in the Midwestern United States between October 2020 and February 2021. The ADEC-V showed good sensitivity (0.82) and specificity (0.78) and was significantly correlated with other ASD symptom measures (i.e., CARS-2, ADI-R). Internal consistency was acceptable (α = 0.77). These results need replication in a larger and broader sample including more children without ASD. This preliminary validation study identifies the ADEC-V as a promising measure for telehealth ASD assessments in young children.

Clinician Perspectives on Telehealth Assessment of Autism Spectrum Disorder During the COVID-19 Pandemic.

This study examined clinician insights into telehealth assessment services for autism spectrum disorder implemented during the COVID-19 pandemic. 35 clinicians from multiple disciplines across 17 sites in the Autism Care Network were interviewed. Themes identified through qualitative analyses included factors related to confidence in diagnosis (impressions of in-home observation; child and family factors that affected diagnostic confidence; changes in rapport); patient and family factors related to telehealth (perceived family benefits of and barriers to telehealth; factors related to healthcare disparities; factors specific to non-native English speakers); and institutional and workplace factors related to transitioning to telehealth (institutional support; changes to efficacy, attendance, and work satisfaction). Results suggest that telehealth has potential to be an effective tool in autism assessment practice.

Facilitator Reflections on Shared Expertise and Adaptive Leadership in ECHO Autism: Center Engagement.

INTRODUCTION: Project Extension for Community Healthcare Outcomes (ECHO) is used to increase provider capacity in a wide range of health care specialties. ECHO Autism: Center Engagement is a program that promotes improvement in autism care by improving the management of autism care centers. The program's focus brought experienced clinicians together as both facilitators and participants in an ECHO series. ECHO Autism: Center Engagement facilitators devised a reflective writing exercise to prospectively study their experience leading this new curriculum. METHODS: Drawing on a qualitative thematic analysis of longitudinal reflective writing exercises from seven "Hub Team" facilitators, we describe how ECHO leaders cultivate a learning environment that emphasizes shared learning and acknowledges the expertise of ECHO participants. RESULTS: The analysis generated three main themes: (1) Hub Team facilitators valued reciprocal exchange with Spoke sites, a theme we name "shared learning," (2) Hub Team facilitators demonstrated high levels of awareness about their facilitation styles, and (3) Hub Team facilitators cultivated an interactional style they described as "all teach, all learn." DISCUSSION: Examining the experiences of ECHO facilitators produces qualitative accounts of continuing professional development that may not be captured in other program evaluation approaches. In the case of ECHO Autism: Center Engagement, facilitators cultivated an environment of shared learning, which acknowledged the expertise of both facilitators and participants. These findings are pertinent for scholars of continuing education in health professions who lead educational programs where participants and facilitators have high levels of overlap in their areas of expertise and years of experience.

Screening for Anxiety in Pediatric Primary Care: A Systematic Review.

CONTEXT: Anxiety is common, screening tools are available, and treatment can be effective. Recently, anxiety screening has been recommended for adolescent girls beginning at 13 years of age. OBJECTIVE: To evaluate the evidence regarding anxiety screening test accuracy in primary care for children and adolescents and assess the effectiveness of treatment of individuals identified through screening. DATA SOURCES: We searched PubMed, the Cochrane library, and references to potentially eligible studies cited in other articles. STUDY SELECTION: Screening studies were included if they were conducted in primary care or a similar population and employed a reference standard based on DSM criteria. Treatment studies were included if subjects were identified through screening and there was at least 1 comparator intervention or a placebo arm. DATA EXTRACTION: At least 2 reviewers evaluated each identified reference. RESULTS: Two screening studies (1 with low risk of bias and 1 with high risk of bias) and 1 treatment study with a low risk of bias were included. The screening study with a low risk of bias reported a sensitivity of 56% and specificity of 80%. The treatment study found individual cognitive behavioral therapy to be effective for screen-detected adolescents with social phobia. LIMITATIONS: This review only included screening or treatment studies with clear evidence that the study populations were derived from an unselected population reflective of typical primary care. Relevant studies not indexed in PubMed or the Cochrane library could have been missed. CONCLUSIONS: There are significant gaps in evidence related to anxiety screening in the primary care setting.

Validity of the WISC-V in Youth with Autism Spectrum Disorder: Factor Structure and Measurement Invariance.

Objective: Assessment of intellectual abilities in individuals with autism spectrum disorder (ASD) is a core component of a comprehensive diagnostic evaluation. However, relatively limited information is available regarding the validity of one of the most commonly-used measures of intelligence, the Wechsler Intelligence Scale for Children - 5th Edition (WISC-V) in ASD.Method: We investigated the factor structure and measurement invariance of the WISC-V in a sample of 349 children aged 6-16 diagnosed with ASD using single- and multi-group confirmatory factor analysis. The comparison group was the WISC-V standardization sample.Results: A four-index bifactor solution best fit the ASD group data. Measurement invariance analyses indicated support for configural and metric, but not scalar, invariance of the published 5-index structure, suggesting systematic differences in performance among some subscales in ASD. The 7-subtest FSIQ scale had partial scalar invariance after relaxing equality constraints on the Coding and Digit Span subtest intercepts, suggesting sources other than theorized IQ ability contribute to lower scores on these subtests within ASD. The Cognitive Proficiency Index (CPI) failed to demonstrate appropriate fit in baseline models. The General Ability Index (GAI) had full configural, metric, and scalar invariance.Conclusions: Statistical bias on the WISC-V within ASD in processing speed and working memory subtests creates significant limitations for the use of FSIQ and especially CPI index scores in ASD populations. The GAI showed strong measurement properties and should be considered as the preferred indicator of overall intellectual functioning when assessing children with ASD using the WISC-V.

Correlates of oral health fatalism in caregivers of children with autism spectrum disorder.

AIMS: To study correlates of oral health fatalism (OHF) in caregivers of children with autism spectrum disorder (ASD). METHODS AND RESULTS: This exploratory analysis used baseline data from 118 Medicaid-eligible families of children with ASD in a multi-site randomized clinical trial of a parent training intervention supporting home oral hygiene and dental visits. About half (46%) of caregivers agreed with the statement "most children eventually develop dental cavities," endorsing OHF. Hispanic caregivers more strongly endorsed OHF than non-Hispanics (cumulative odds ratio = 2.4, 95% confidence interval [CI]: 1.2-4.7, P = .014). Caregivers living alone with children less strongly endorsed OHF than caregivers cohabitating with other adults (cumulative odds ratio = 0.39, 95% CI 0.17-0.86, P = .019). Multivariable analysis maintained significance of ethnicity (P = .030) but not living situation (P = .052). Additional analyses included demographics, parenting beliefs, and children's oral hygiene and oral health status. CONCLUSION: About half the caregivers endorsed OHF, with Hispanic caregivers more strongly endorsing OHF. OHF was not significantly associated with oral health behaviors or status, consistent with emerging literature suggesting fatalism is not necessarily linked to health behavior. Further exploration of OHF correlates in families of children with ASD is needed; ethnicity, living situation, child age, and caries status are of interest.

The Autism Impact Measure (AIM): Examination of Sensitivity to Change.

The Autism Impact Measure (AIM) was designed specifically for treatment-outcome assessment in children with ASD, focusing on treatment-relevant aspects of symptom presentation and efficient detection of short-term improvement. The AIM demonstrated strong reliability and validity in initial psychometric studies. The current study evaluated the AIM's sensitivity to change across well-established treatments. The sample included 471 children with ASD (ages 2-14) participating in one of six treatments. The AIM was administered at baseline and 6-week intervals and a battery of domain-specific concurrent measures was also administered. A longitudinal repeated measures design examined the degree to which: (a) AIM domain scores changed over time in response to treatment and (b) change in AIM domains was associated with change in measures of similar constructs. Results across growth curve models indicated that AIM domains are sensitive to change in symptoms across treatment. Across all models, symptoms decreased over time, with some deceleration in rate of improvement. For all AIM domains except Repetitive Behavior, symptoms improved as a function of treatment group. Correlations of change between AIM and other measures varied across domains (from 0.01-0.43 across measures). This was the first large-scale study to systematically evaluate sensitivity to change in a measure of core ASD symptoms. The results provide support for the AIM's ability to detect short-term improvement across symptom domains and indicate that AIM domains are sensitive to change overall and as a function of different treatment conditions. The brief repeated assessment window also highlights the AIM's utility for detecting improvements across short-term treatments. Autism Res 2020, 13: 1867-1879. © 2020 International Society for Autism Research and Wiley Periodicals LLC LAY SUMMARY: Good measures are important for assessing outcomes in children with autism. However, there are few tools for tracking short-term changes in autism symptoms. This study tested a new measure, the Autism Impact Measure (AIM), in a large group of children with autism. The results showed that the AIM appears to be a valid and accurate tool for measuring autism symptoms. The AIM may be a helpful tool for researchers and clinicians interested in tracking short-term improvements in autism symptoms.

Figure Correction: Detecting Screams From Home Audio Recordings to Identify Tantrums: Exploratory Study Using Transfer Machine Learning.

[This corrects the article DOI: 10.2196/18279.].

Pediatric Telebehavioral Health: A Transformational Shift in Care Delivery in the Era of COVID-19.

The use of telebehavioral health has been expanding in the past decade to improve access to psychiatric care and address critical shortages in the psychiatric workforce. The coronavirus (COVID-19) pandemic forced a sudden shift from traditional in-person visits to alternative modalities. There are key factors associated with successful transitional and large-scale implementation of telehealth with existing resources. We describe the experience of a large health care system using telehealth technology, and we identify strategies and discuss considerations for long-term sustainability after the pandemic.

Detecting Screams From Home Audio Recordings to Identify Tantrums: Exploratory Study Using Transfer Machine Learning.

BACKGROUND: Qualitative self- or parent-reports used in assessing children's behavioral disorders are often inconvenient to collect and can be misleading due to missing information, rater biases, and limited validity. A data-driven approach to quantify behavioral disorders could alleviate these concerns. This study proposes a machine learning approach to identify screams in voice recordings that avoids the need to gather large amounts of clinical data for model training. OBJECTIVE: The goal of this study is to evaluate if a machine learning model trained only on publicly available audio data sets could be used to detect screaming sounds in audio streams captured in an at-home setting. METHODS: Two sets of audio samples were prepared to evaluate the model: a subset of the publicly available AudioSet data set and a set of audio data extracted from the TV show Supernanny, which was chosen for its similarity to clinical data. Scream events were manually annotated for the Supernanny data, and existing annotations were refined for the AudioSet data. Audio feature extraction was performed with a convolutional neural network pretrained on AudioSet. A gradient-boosted tree model was trained and cross-validated for scream classification on the AudioSet data and then validated independently on the Supernanny audio. RESULTS: On the held-out AudioSet clips, the model achieved a receiver operating characteristic (ROC)-area under the curve (AUC) of 0.86. The same model applied to three full episodes of Supernanny audio achieved an ROC-AUC of 0.95 and an average precision (positive predictive value) of 42% despite screams only making up 1.3% (n=92/7166 seconds) of the total run time. CONCLUSIONS: These results suggest that a scream-detection model trained with publicly available data could be valuable for monitoring clinical recordings and identifying tantrums as opposed to depending on collecting costly privacy-protected clinical data for model training.

Access to Dental Visits and Correlates of Preventive Dental Care in Children with Autism Spectrum Disorder.

Dental care received by children in the Autism Speaks Autism Treatment Network (ATN) was compared to National Survey of Children's Health (NSCH) data for children without special healthcare needs and children with parent-reported ASD. Correlates of obtained preventive dental services were examined within the ATN sample. Participants included 375 families of children ages 4 to 17 enrolled in the ATN. ATN families reported levels of preventive dental care that were similar to, or exceeded, NSCH-reported care. However, disparities in obtained preventive dental services emerged within the ATN sample. Lower intellectual functioning was the most consistent correlate of reduced access to and completion of preventive dental care. Implications for developing system-wide supports and targeted interventions are discussed.