A population-based examination of maltreatment referrals and substantiation for children with autism spectrum disorder / M. H. FISHER in Autism, 23-5 (July 2019)  

Public ISBD [article]  inAutism > 23-5 (July 2019) . - p.1335-1340 Titre : A population-based examination of maltreatment referrals and substantiation for children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : M. H. FISHER, Auteur ; R. A. EPSTEIN, Auteur ; R. C. URBANO, Auteur ; A. VEHORN, Auteur ; M. J. CULL, Auteur ; Zachary WARREN, Auteur Article en page(s) : p.1335-1340 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  child abuse  child protective services  maltreatment Index. décimale : PER Périodiques Résumé : Children with disabilities experience elevated rates of maltreatment, but little is known about the interaction of children with autism spectrum disorder with child protection systems. A population-based dataset of 24,306 children born in 2008 in Tennessee, which included 387 children with autism spectrum disorder identified through the Autism and Developmental Disabilities Monitoring network, was linked with state child protection records. Rates of maltreatment referrals, screening for further action, and substantiated maltreatment were examined for children with versus without autism spectrum disorder. Significantly more children with autism spectrum disorder (17.3%) than without (7.4%) were referred to the Child Abuse Hotline. Children with autism spectrum disorder were less likely than children without autism spectrum disorder to have referrals screened in for further action (62% vs 91.6%, respectively), but substantiated maltreatment rates were similar across groups (3.9% vs 3.4%, respectively). Girls versus boys with autism spectrum disorder were more likely to have substantiated maltreatment (13.6% vs 1.9%, respectively). The high percentage of children with autism spectrum disorder referred for allegations of maltreatment, the differential pattern of screening referrals in for further action, and the high levels of substantiated maltreatment of girls with autism spectrum disorder highlights the need for enhanced training and knowledge of the complex issues faced by children with autism spectrum disorder, their families, and state welfare agencies. En ligne : http://dx.doi.org/10.1177/1362361318813998 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=401 [article] A population-based examination of maltreatment referrals and substantiation for children with autism spectrum disorder [Texte imprimé et/ou numérique] / M. H. FISHER, Auteur ; R. A. EPSTEIN, Auteur ; R. C. URBANO, Auteur ; A. VEHORN, Auteur ; M. J. CULL, Auteur ; Zachary WARREN, Auteur . - p.1335-1340. Langues : Anglais (eng) in Autism > 23-5 (July 2019) . - p.1335-1340 Mots-clés : autism spectrum disorder  child abuse  child protective services  maltreatment Index. décimale : PER Périodiques Résumé : Children with disabilities experience elevated rates of maltreatment, but little is known about the interaction of children with autism spectrum disorder with child protection systems. A population-based dataset of 24,306 children born in 2008 in Tennessee, which included 387 children with autism spectrum disorder identified through the Autism and Developmental Disabilities Monitoring network, was linked with state child protection records. Rates of maltreatment referrals, screening for further action, and substantiated maltreatment were examined for children with versus without autism spectrum disorder. Significantly more children with autism spectrum disorder (17.3%) than without (7.4%) were referred to the Child Abuse Hotline. Children with autism spectrum disorder were less likely than children without autism spectrum disorder to have referrals screened in for further action (62% vs 91.6%, respectively), but substantiated maltreatment rates were similar across groups (3.9% vs 3.4%, respectively). Girls versus boys with autism spectrum disorder were more likely to have substantiated maltreatment (13.6% vs 1.9%, respectively). The high percentage of children with autism spectrum disorder referred for allegations of maltreatment, the differential pattern of screening referrals in for further action, and the high levels of substantiated maltreatment of girls with autism spectrum disorder highlights the need for enhanced training and knowledge of the complex issues faced by children with autism spectrum disorder, their families, and state welfare agencies. En ligne : http://dx.doi.org/10.1177/1362361318813998 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=401

Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise / L. L. CORONA in Journal of Autism and Developmental Disorders, 51-11 (November 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.4003-4012 Titre : Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise Type de document : Texte imprimé et/ou numérique Auteurs : L. L. CORONA, Auteur ; L. WAGNER, Auteur ; J. WADE, Auteur ; Amy S. WEITLAUF, Auteur ; J. HINE, Auteur ; A. NICHOLSON, Auteur ; C. STONE, Auteur ; A. VEHORN, Auteur ; Zachary WARREN, Auteur Article en page(s) : p.4003-4012 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  Child, Preschool  Humans  Mass Screening  Outcome Assessment, Health Care  Assessment  Autism spectrum disorder  Machine learning  Young children  has served as a Consultant for Adaptive Technology Consulting and Roche. Dr.  Weitlauf has served as a Consultant for Adaptive Technology Consulting. Index. décimale : PER Périodiques Résumé : Barriers to identifying autism spectrum disorder (ASD) in young children in a timely manner have led to calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity for identifying patterns within large clinical datasets that can inform new assessment paradigms. The present study describes an analytic approach used to identify key features predictive of ASD in young children, drawn from large amounts of data from comprehensive diagnostic evaluations. A team of expert clinicians used these predictive features to design a set of assessment activities allowing for observation of these core behaviors. The resulting brief assessment underlies several novel approaches to the identification of ASD that are the focus of ongoing research. En ligne : http://dx.doi.org/10.1007/s10803-020-04857-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454 [article] Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise [Texte imprimé et/ou numérique] / L. L. CORONA, Auteur ; L. WAGNER, Auteur ; J. WADE, Auteur ; Amy S. WEITLAUF, Auteur ; J. HINE, Auteur ; A. NICHOLSON, Auteur ; C. STONE, Auteur ; A. VEHORN, Auteur ; Zachary WARREN, Auteur . - p.4003-4012. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.4003-4012 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  Child, Preschool  Humans  Mass Screening  Outcome Assessment, Health Care  Assessment  Autism spectrum disorder  Machine learning  Young children  has served as a Consultant for Adaptive Technology Consulting and Roche. Dr.  Weitlauf has served as a Consultant for Adaptive Technology Consulting. Index. décimale : PER Périodiques Résumé : Barriers to identifying autism spectrum disorder (ASD) in young children in a timely manner have led to calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity for identifying patterns within large clinical datasets that can inform new assessment paradigms. The present study describes an analytic approach used to identify key features predictive of ASD in young children, drawn from large amounts of data from comprehensive diagnostic evaluations. A team of expert clinicians used these predictive features to design a set of assessment activities allowing for observation of these core behaviors. The resulting brief assessment underlies several novel approaches to the identification of ASD that are the focus of ongoing research. En ligne : http://dx.doi.org/10.1007/s10803-020-04857-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454

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