Publications by authors named "Judy Reinhold"

Objective: Cohort selection is challenging for large-scale electronic health record (EHR) analyses, as International Classification of Diseases 9th edition (ICD-9) diagnostic codes are notoriously unreliable disease predictors. Our objective was to develop, evaluate, and validate an automated algorithm for determining an Autism Spectrum Disorder (ASD) patient cohort from EHR. We demonstrate its utility via the largest investigation to date of the co-occurrence patterns of medical comorbidities in ASD.

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Introduction: The number of children with autism spectrum disorder (ASD) is rising, along with the potential for challenging behaviors during health care encounters.

Method: We present an overview of the emerging science related to ASD diagnosis and interventions for children with ASD.

Results: Emerging science on ASD reveals common associated challenging behaviors, increasing prevalence, emphasis on early diagnosis at 18 to 24 months of age, changes in the diagnostic process with criteria from the Diagnostic and Statistical Manual of Mental Disorders, 5th edition, and interventions with medication, education, and behavior management.

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Introduction: Managing home and health care for children with autism spectrum disorder can be challenging because of the range of symptoms and behaviors exhibited.

Method: This article presents an overview of the emerging science related to the methods to foster family self-management of common concerns regarding activities of daily living and behaviors, as well as for the health care provider in primary and acute health care settings.

Results: Recommendations are provided to enhance the overall delivery of services, including understanding and managing a child's challenging behaviors, and supporting family management of common activities of daily living and behaviors.

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Autism spectrum disorders are being diagnosed with increasing frequency. The likelihood that a primary care provider will see a patient with autism spectrum disorder in their clinic is high. In this article, current diagnostic criteria and expected changes in DSM criteria, as well as prevalence rates and epidemiologic studies are reviewed.

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Children with an autism spectrum disorder (ASD) often are evaluated with electroencephalogram (EEG) studies to assess their risk for seizures or other underlying abnormalities. Their risk is estimated at 7% - 42%. EEG studies were conducted on a subgroup of children while following established practice parameters for evaluating children for ASD.

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