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1.
J Pediatr ; 262: 113343, 2023 11.
Article in English | MEDLINE | ID: mdl-36736890

ABSTRACT

OBJECTIVE: To examine the classification rates and screening properties, including sensitivity and specificity, of the web-based Modified Checklist for Autism in Toddler, Revised with Follow-Up (M-CHAT-R/F) compared with paper-phone administration, and to determine the extent to which electronic M-CHAT-R/F streamlines screening, increases screening fidelity, increases diagnostic evaluation participation, and decreases waiting time from screening to evaluation compared with paper-phone modality. STUDY DESIGN: Primary-care practices in urban and suburban settings administered either the web-based or paper-phone M-CHAT-R/F using a prospective nonrandomized control design. Toddlers (n = 17 900) were screened between 2009 and 2016 at routine well-child check-ups. Toddlers who screened at risk on the M-CHAT-R/F were invited to complete diagnostic evaluations; 176 children were diagnosed with autism. The χ2, Fisher exact, and t-tests, as well as regression and screening properties, were used to compare outcome distributions, screening properties, and implementation by modality. RESULTS: Classification rates of the initial M-CHAT-R into low, medium, and high risk were significantly different across modalities with very small effect sizes. Sensitivity and specificity were high across both modalities. For children in the medium-risk range, the web-based modality had a greater rate of predicting risk for autism after Follow-Up compared with the paper-phone modality, and the web eliminated delay between initial screen and Follow-Up. The web-based modality showed increased screening fidelity, no data loss, and similar rates of evaluation attendance and time to evaluation from Follow-Up administration. CONCLUSIONS: The web-based M-CHAT-R/F is a valid tool for universal autism screening. Systems-level decisions should balance the increased feasibility of the electronic administration with the increase in Follow-Up accuracy provided by skilled clinician interview.


Subject(s)
Autism Spectrum Disorder , Autistic Disorder , Humans , Child, Preschool , Infant , Autistic Disorder/diagnosis , Mass Screening , Checklist , Prospective Studies , Sensitivity and Specificity , Autism Spectrum Disorder/diagnosis
2.
Autism ; 27(1): 173-187, 2023 01.
Article in English | MEDLINE | ID: mdl-35403446

ABSTRACT

LAY ABSTRACT: The early detection of autism spectrum disorder can lead to access to autism spectrum disorder-specific services that have been shown to have a large impact on a child's overall development. Although a stable diagnosis of autism spectrum disorder can be made by age 2 years, most children are not diagnosed until much later. To address this issue, this study examined the effectiveness of training Part C Early Intervention providers to use an interactive autism spectrum disorder screening tool, the Screening Tool for Autism in Toddlers. Sixty-nine providers attended a 1-day training workshop on the use of the Screening Tool for Autism in Toddlers. After the workshop, providers reported increased knowledge about recognizing the early signs of autism spectrum disorder, and about 45% of the providers reported using the Screening Tool for Autism in Toddlers with families in their caseloads 18 months after the training. These results suggest that the Screening Tool for Autism in Toddlers is feasible for use within Early Intervention settings. In addition, they suggest that specific providers might serve as a screening "point-person," rather than expecting the Screening Tool for Autism in Toddlers to be used by all providers. Future research should aim to identify specific characteristics of agencies or providers that might be best suited for using the Screening Tool for Autism in Toddlers.


Subject(s)
Autism Spectrum Disorder , Autistic Disorder , Humans , Child, Preschool , Autistic Disorder/diagnosis , Autism Spectrum Disorder/diagnosis , Mass Screening/methods , Follow-Up Studies , Early Medical Intervention
3.
J Autism Dev Disord ; 53(8): 3065-3076, 2023 Aug.
Article in English | MEDLINE | ID: mdl-35579791

ABSTRACT

Prior studies suggest autism-specific and general developmental screens are complementary for identifying both autism and developmental delay (DD). Parents completed autism and developmental screens before 18-month visits. Children with failed screens for autism (n = 167) and age, gender, and practice-matched children passing screens (n = 241) completed diagnostic evaluations for autism and developmental delay. When referral for autism and/or DD was considered, overall false positives from the autism screens were less frequent than for referral for autism alone. Presence of a failed communication subscale in the developmental screen was a red flag for autism and/or DD. An ordinally-scored autism screen had more favorable characteristics when considering autism and/or DD, yet none of the screens achieved recommended standards at 18 months, reinforcing the need for recurrent screening as autism emerges in early development.


Subject(s)
Autism Spectrum Disorder , Autistic Disorder , Child , Humans , Infant , Autistic Disorder/diagnosis , Autism Spectrum Disorder/diagnosis , Surveys and Questionnaires , Parents , Mass Screening
4.
Autism Res ; 15(11): 2069-2080, 2022 11.
Article in English | MEDLINE | ID: mdl-36073529

ABSTRACT

The Screening Tool for Autism in Toddlers (STAT) is a validated stage-2 autism spectrum disorder (ASD) screening measure that takes 20 minutes to administer and comprises 12 play-based items that are scored according to specific criteria. This study examines an expanded version (STAT-E) that includes the examiner's subjective ratings of children's social engagement (SE) and atypical behaviors (AB) in the scoring algorithm. The sample comprised 238 children who were 24-35 months old. The STAT-E assessors had limited ASD experience to mimic its use by community-based non-specialists, and were trained using a scalable web-based platform. A diagnostic evaluation was completed by clinical experts who were blind to the STAT-E results. Logistic regression, ROC curves, and classification matrices and metrics were used to determine the screening properties of STAT-E when scored using the original STAT scoring algorithm versus a new algorithm that included the SE and AB ratings. Inclusion of the SE and AB ratings improved positive risk classification appreciably, while the specificity declined. These results suggest that the STAT-E using the original STAT scoring algorithm optimizes specificity, while the STAT-E scoring algorithm with the two new ratings optimizes the positive risk classification. Using multiple scoring algorithms on the STAT may provide improved screening accuracy for diverse contexts, and a scalable web-based tutorial may be a pathway for increasing the number of community providers who can administer the STAT and contribute toward increased rates of autism screening.


Subject(s)
Autism Spectrum Disorder , Autistic Disorder , Child, Preschool , Humans , Autism Spectrum Disorder/diagnosis , Autistic Disorder/diagnosis , Mass Screening/methods , Algorithms , ROC Curve
5.
Mol Autism ; 13(1): 2, 2022 01 03.
Article in English | MEDLINE | ID: mdl-34980240

ABSTRACT

BACKGROUND: Autism screening is recommended at 18- and 24-month pediatric well visits. The Modified Checklist for Autism in Toddlers-Revised (M-CHAT-R) authors recommend a follow-up interview (M-CHAT-R/F) when positive. M-CHAT-R/F may be less accurate for 18-month-olds than 24-month-olds and accuracy for identification prior to two years is not known in samples that include children screening negative. Since autism symptoms may emerge gradually, ordinally scoring items based on the full range of response options, such as in the 10-item version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT-10), might better capture autism signs than the dichotomous (i.e., yes/no) items in M-CHAT-R or the pass/fail scoring of Q-CHAT-10 items. The aims of this study were to determine and compare the accuracy of the M-CHAT-R/F and the Q-CHAT-10 and to describe the accuracy of the ordinally scored Q-CHAT-10 (Q-CHAT-10-O) for predicting autism in a sample of children who were screened at 18 months. METHODS: This is a community pediatrics validation study with screen positive (n = 167) and age- and practice-matched screen negative children (n = 241) recruited for diagnostic evaluations completed prior to 2 years old. Clinical diagnosis of autism was based on results of in-person diagnostic autism evaluations by research reliable testers blind to screening results and using the Autism Diagnostic Observation Schedule-Second Edition (ADOS-2) Toddler Module and Mullen Scales of Early Learning (MSEL) per standard guidelines. RESULTS: While the M-CHAT-R/F had higher specificity and PPV compared to M-CHAT-R, Q-CHAT-10-O showed higher sensitivity than M-CHAT-R/F and Q-CHAT-10. LIMITATIONS: Many parents declined participation and the sample is over-represented by higher educated parents. Results cannot be extended to older ages. CONCLUSIONS: Limitations of the currently recommended two-stage M-CHAT-R/F at the 18-month visit include low sensitivity with minimal balancing benefit of improved PPV from the follow-up interview. Ordinal, rather than dichotomous, scoring of autism screening items appears to be beneficial at this age. The Q-CHAT-10-O with ordinal scoring shows advantages to M-CHAT-R/F with half the number of items, no requirement for a follow-up interview, and improved sensitivity. Yet, Q-CHAT-10-O sensitivity is less than M-CHAT-R (without follow-up) and specificity is less than the two-stage procedure. Such limitations are consistent with recognition that screening needs to recur beyond this age.


Subject(s)
Autistic Disorder , Autistic Disorder/diagnosis , Checklist , Child , Humans , Mass Screening/methods
6.
J Autism Dev Disord ; 52(1): 423-434, 2022 Jan.
Article in English | MEDLINE | ID: mdl-33606157

ABSTRACT

The COVID-19 pandemic, and associated social distancing mandates, has placed significant limitations on in-person health services, requiring creative solutions for supporting clinicians engaged in the diagnosis of autism spectrum disorder (ASD). This report describes the five virtual instruments available at the time of manuscript development for use by experienced clinicians making diagnostic determinations of ASD for toddlers across the 12- to 36-months age range. We focus on synchronous virtual assessments in which clinicians guide the child's caregiver through a range of assessment activities and observe spontaneous and elicited behaviors. Assessments are compared on dimensions of targeted behavioral domains, specific activities and presses employed, scoring approaches, and other key logistical considerations to guide instrument selection for use in varied clinical and research contexts.


Subject(s)
Autism Spectrum Disorder , COVID-19 , Autism Spectrum Disorder/diagnosis , Autism Spectrum Disorder/epidemiology , Caregivers , Child, Preschool , Humans , Pandemics , SARS-CoV-2
7.
Acad Pediatr ; 22(2): 263-270, 2022 03.
Article in English | MEDLINE | ID: mdl-33901728

ABSTRACT

OBJECTIVE: To determine whether an intervention addressing both logistical and knowledge barriers to early screening for autism spectrum disorder (ASD) increases evidence-based screening during 18-month well-child visits and primary care providers' (PCPs') perceived self-efficacy in caring for children with ASD. METHODS: Forty-six PCPs from 10 diverse practices across four counties in Washington State participated. PCPs attended a 2-hour training workshop on early recognition and care for toddlers with ASD and use of a REDCap-based version of the Modified Checklist for Autism in Toddlers-Revised with Follow-up (webM-CHAT-R/F) that provided automated presentation and scoring of follow-up questions. Data were collected at baseline and 6 months following each county's training window. PCPs' screening methods and rates and perceived self-efficacy regarding ASD care were measured by self-report and webM-CHAT-R/F use was measured via REDCap records. RESULTS: At follow-up, 8 of the 10 practices were using the webM-CHAT-R/F routinely at 18-month visits. The proportion of PCPs reporting routine M-CHAT screening increased from 82% at baseline to 98% at follow-up (16% increase, 95% confidence interval [CI] 3%-28%; McNemar exact P = .02). The proportion using the M-CHAT-R/F follow-up interview questions increased from 33% to 82% (49% increase, 95% CI 30%-68%, exact McNemar test, P < .001). Significant increases in self-efficacy were found for all seven areas assessed (Ps ≤ .008). CONCLUSIONS: This brief intervention increased PCPs' self-reported valid use of the M-CHAT-R/F at 18 months and their self-efficacy regarding ASD care. Combining educational information with a web-based ASD screen incorporating the M-CHAT-R/F follow-up questions may increase universal ASD screening with improved fidelity.


Subject(s)
Autism Spectrum Disorder , Autistic Disorder , Autism Spectrum Disorder/diagnosis , Autism Spectrum Disorder/therapy , Autistic Disorder/diagnosis , Checklist , Humans , Infant , Internet , Mass Screening/methods , Primary Health Care/methods
8.
J Autism Dev Disord ; 52(9): 4181-4190, 2022 Sep.
Article in English | MEDLINE | ID: mdl-34510314

ABSTRACT

Family-centered care represents a collaborative partnership between caregivers and service providers, and is associated with positive caregiver and child outcomes. This approach may be especially important for caregivers with early concerns about autism, as service providers are often the gateway to appropriately-specialized intervention. Perceptions of family-centered care received from primary care providers (PCPs) and Part C Early Intervention (EI) providers were rated by two groups of caregivers: those concerned about autism (n = 37) and those concerned about another developmental problem (n = 22), using the Measure of Processes of Care (MPOC-20). Ratings did not differ across caregiver groups, but both groups rated EI providers significantly higher than PCPs, which may reflect systems-level differences between primary care and EI.


Subject(s)
Autism Spectrum Disorder , Caregivers , Child, Preschool , Early Intervention, Educational , Family , Humans , Patient-Centered Care
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