8 research outputs found

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

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    BACKGROUND: Persistent disparities exist in early identification of autism spectrum disorder (ASD) among children from low-income families who are racial and/or ethnic minorities and where English is not the primary language. Parental literacy and level of maternal education may contribute to disparities. The Developmental Check-In (DCI) is a visually based ASD screening tool created to reduce literacy demands and to be easily administered and scored across settings. In a previous study, the DCI showed acceptable discriminative ability between ASD versus non-ASD in a young, underserved sample at high-risk for ASD. In this study, we tested the DCI among an unselected, general sample of young underserved children. METHODS: Six hundred twenty-four children ages 24 to 60 months were recruited through Head Start and Early Head Start. Parents completed the DCI, Modified Checklist for Autism in Toddlers, Revised with Follow-Up, and Social Communication Questionnaire. Children scoring positive on any measure received evaluation for ASD. Those screening negative on both Modified Checklist for Autism in Toddlers, Revised with Follow-Up and Social Communication Questionnaire were considered non-ASD. RESULTS: Parents were primarily Hispanic, reported high school education or less, and had public or no insurance. The DCI demonstrated good discriminative power (area under the curve = 0.80), performing well across all age groups, genders, levels of maternal education, primary language, and included ethnic and racial groups. Item-level analyses indicated that 24 of 26 DCI items discriminated ASD from non-ASD. CONCLUSIONS: The DCI is a promising ASD screening tool for young, underserved children and may be of particular value in screening for ASD for those with low literacy levels or with limited English proficiency

    Screening for autism spectrum disorder in underserved communities: Early childcare providers as reporters.

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    Early diagnosis of autism typically is associated with earlier access to intervention and improved outcomes. Daycares and preschools largely have been ignored as possible venues for early identification. This may be especially important for minority children in the United States who are typically diagnosed with autism later than White children, limiting their access to early specialized interventions and possibly resulting in poorer outcomes. Early childcare providers within underserved communities completed autism screening tools for a sample of low-risk young children (n = 967) in their programs. Early childcare providers returned screening tools for 90% of the children for whom parental consent had been received. A total of 14% of children screened positive for autism spectrum disorder and 3% of the sample met criteria for autism spectrum disorder. Among those who screened positive, 34% were lost to follow-up. Findings suggest that early childcare providers can effectively screen young children for autism spectrum disorder in preschool/daycare settings, thus improving access to early diagnosis and reducing potential healthcare disparities among underserved populations

    Supplementary Material, AUT770430_Lay_Abstract – The Developmental Check-In: Development and initial testing of an autism screening tool targeting young children from underserved communities

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    <p>Supplementary Material, AUT770430_Lay_Abstract for The Developmental Check-In: Development and initial testing of an autism screening tool targeting young children from underserved communities by Yvette M Janvier, Caroline N Coffield, Jill F Harris, David S Mandell and Zuleyha Cidav in Autism</p

    JAKE® Multimodal Data Capture System: Insights from an Observational Study of Autism Spectrum Disorder

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    Objective: To test usability and optimize the Janssen Autism Knowledge Engine (JAKE®) system's components, biosensors, and procedures used for objective measurement of core and associated symptoms of autism spectrum disorder (ASD) in clinical trials.Methods: A prospective, observational study of 29 children and adolescents with ASD using the JAKE system was conducted at three sites in the United States. This study was designed to establish the feasibility of the JAKE system and to learn practical aspects of its implementation. In addition to information collected by web and mobile components, wearable biosensor data were collected both continuously in natural settings and periodically during a battery of experimental tasks administered in laboratory settings. This study is registered at clinicaltrials.gov, NCT02299700.Results: Feedback collected throughout the study allowed future refinements to be planned for all components of the system. The Autism Behavior Inventory (ABI), a parent-reported measure of ASD core and associated symptoms, performed well. Among biosensors studied, the eye-tracker, sleep monitor, and electrocardiogram were shown to capture high quality data, whereas wireless electroencephalography was difficult to use due to its form factor. On an exit survey, the majority of parents rated their overall reaction to JAKE as positive/very positive. No significant device-related events were reported in the study.Conclusion: The results of this study, with the described changes, demonstrate that the JAKE system is a viable, useful, and safe platform for use in clinical trials of ASD, justifying larger validation and deployment studies of the optimized system

    JAKE® Multimodal Data Capture System: Insights from an Observational Study of Autism Spectrum Disorder

    No full text
    Objective: To test usability and optimize the Janssen Autism Knowledge Engine (JAKE®) system's components, biosensors, and procedures used for objective measurement of core and associated symptoms of autism spectrum disorder (ASD) in clinical trials.Methods: A prospective, observational study of 29 children and adolescents with ASD using the JAKE system was conducted at three sites in the United States. This study was designed to establish the feasibility of the JAKE system and to learn practical aspects of its implementation. In addition to information collected by web and mobile components, wearable biosensor data were collected both continuously in natural settings and periodically during a battery of experimental tasks administered in laboratory settings. This study is registered at clinicaltrials.gov, NCT02299700.Results: Feedback collected throughout the study allowed future refinements to be planned for all components of the system. The Autism Behavior Inventory (ABI), a parent-reported measure of ASD core and associated symptoms, performed well. Among biosensors studied, the eye-tracker, sleep monitor, and electrocardiogram were shown to capture high quality data, whereas wireless electroencephalography was difficult to use due to its form factor. On an exit survey, the majority of parents rated their overall reaction to JAKE as positive/very positive. No significant device-related events were reported in the study.Conclusion: The results of this study, with the described changes, demonstrate that the JAKE system is a viable, useful, and safe platform for use in clinical trials of ASD, justifying larger validation and deployment studies of the optimized system
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