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Utility of Diagnostic Classification for Children 0-5 to Assess Features of Autism: Comparing In-person and COVID-19 Telehealth Evaluations / Sara JULSRUD HOLTMAN in Journal of Autism and Developmental Disorders, 52-12 (December 2022)
[article]
Titre : Utility of Diagnostic Classification for Children 0-5 to Assess Features of Autism: Comparing In-person and COVID-19 Telehealth Evaluations Type de document : Texte imprimé et/ou numérique Auteurs : Sara JULSRUD HOLTMAN, Auteur ; Katherine SKILLESTAD WINANS, Auteur ; John D. HOCH, Auteur Année de publication : 2022 Article en page(s) : p.5114-5125 Langues : Anglais (eng) Mots-clés : Child Humans Autistic Disorder/diagnosis Autism Spectrum Disorder/diagnosis COVID-19/diagnosis Child Development Disorders, Pervasive Telemedicine Autism spectrum disorder Covid-19 Dc: 0-5 Diagnostic decision making Logistic regression Telehealth Index. décimale : PER Périodiques Résumé : Logistic regression was used to examine the use of Autism Spectrum diagnostic categories from pre-COVID-19 in-person evaluations and COVID-19 telehealth evaluations at a specialist community mental health clinic. The diagnostic classification for children 0-5 (DC: 0-5) affords a wider range of diagnoses that allowed for inferences of clinician certainty of diagnosis. Use of full criteria diagnoses was significantly lower from telehealth evaluations during the pandemic, and was less certain for younger children, some non-English speakers, and children reporting Native American/Alaska Native race. Higher Child Behavior Checklist (CBCL) ASD subscale scores, lower CBCL total scores, and global developmental delay diagnoses predicted greater use of full ASD diagnoses. Findings suggest factors that could identify children appropriate for telehealth evaluations. En ligne : http://dx.doi.org/10.1007/s10803-022-05606-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489
in Journal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5114-5125[article] Utility of Diagnostic Classification for Children 0-5 to Assess Features of Autism: Comparing In-person and COVID-19 Telehealth Evaluations [Texte imprimé et/ou numérique] / Sara JULSRUD HOLTMAN, Auteur ; Katherine SKILLESTAD WINANS, Auteur ; John D. HOCH, Auteur . - 2022 . - p.5114-5125.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5114-5125
Mots-clés : Child Humans Autistic Disorder/diagnosis Autism Spectrum Disorder/diagnosis COVID-19/diagnosis Child Development Disorders, Pervasive Telemedicine Autism spectrum disorder Covid-19 Dc: 0-5 Diagnostic decision making Logistic regression Telehealth Index. décimale : PER Périodiques Résumé : Logistic regression was used to examine the use of Autism Spectrum diagnostic categories from pre-COVID-19 in-person evaluations and COVID-19 telehealth evaluations at a specialist community mental health clinic. The diagnostic classification for children 0-5 (DC: 0-5) affords a wider range of diagnoses that allowed for inferences of clinician certainty of diagnosis. Use of full criteria diagnoses was significantly lower from telehealth evaluations during the pandemic, and was less certain for younger children, some non-English speakers, and children reporting Native American/Alaska Native race. Higher Child Behavior Checklist (CBCL) ASD subscale scores, lower CBCL total scores, and global developmental delay diagnoses predicted greater use of full ASD diagnoses. Findings suggest factors that could identify children appropriate for telehealth evaluations. En ligne : http://dx.doi.org/10.1007/s10803-022-05606-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489 Identifying Patient Characteristics to Understand Which Children May Receive Diagnostic Clarity in a Virtual Autism Spectrum Disorder Evaluation / Randi A. PHELPS in Journal of Autism and Developmental Disorders, 52-12 (December 2022)
[article]
Titre : Identifying Patient Characteristics to Understand Which Children May Receive Diagnostic Clarity in a Virtual Autism Spectrum Disorder Evaluation Type de document : Texte imprimé et/ou numérique Auteurs : Randi A. PHELPS, Auteur ; Erika SAMPLE, Auteur ; Rachel K. GREENE, Auteur ; Susanne W. DUVALL, Auteur Année de publication : 2022 Article en page(s) : p.5126-5138 Langues : Anglais (eng) Mots-clés : Child Humans Autism Spectrum Disorder/diagnosis/epidemiology Pandemics COVID-19/diagnosis Autism spectrum disorder Diagnosis Telemedicine Virtual assessment Index. décimale : PER Périodiques Résumé : Given long waitlists for autism spectrum disorder (ASD) evaluation coupled with the COVID-19 pandemic, it is crucial to triage patients to services they are likely to receive diagnostic clarity (i.e., virtual, in-person evaluation). Participants attended a virtual ASD assessment. A subset also attended in-person evaluation. Results suggest younger children with educational services for ASD may benefit from virtual assessment while older patients with a history of psychiatric conditions may benefit from in-person evaluation. An ASD symptom severity tool related to virtual and in-person diagnostic clarity. Family history of ASD related to in-person diagnosis while other variables (e.g., age, educational services) did not. The study suggests patient characteristics may be used to determine for whom virtual ASD assessment may be appropriate. En ligne : http://dx.doi.org/10.1007/s10803-022-05434-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489
in Journal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5126-5138[article] Identifying Patient Characteristics to Understand Which Children May Receive Diagnostic Clarity in a Virtual Autism Spectrum Disorder Evaluation [Texte imprimé et/ou numérique] / Randi A. PHELPS, Auteur ; Erika SAMPLE, Auteur ; Rachel K. GREENE, Auteur ; Susanne W. DUVALL, Auteur . - 2022 . - p.5126-5138.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5126-5138
Mots-clés : Child Humans Autism Spectrum Disorder/diagnosis/epidemiology Pandemics COVID-19/diagnosis Autism spectrum disorder Diagnosis Telemedicine Virtual assessment Index. décimale : PER Périodiques Résumé : Given long waitlists for autism spectrum disorder (ASD) evaluation coupled with the COVID-19 pandemic, it is crucial to triage patients to services they are likely to receive diagnostic clarity (i.e., virtual, in-person evaluation). Participants attended a virtual ASD assessment. A subset also attended in-person evaluation. Results suggest younger children with educational services for ASD may benefit from virtual assessment while older patients with a history of psychiatric conditions may benefit from in-person evaluation. An ASD symptom severity tool related to virtual and in-person diagnostic clarity. Family history of ASD related to in-person diagnosis while other variables (e.g., age, educational services) did not. The study suggests patient characteristics may be used to determine for whom virtual ASD assessment may be appropriate. En ligne : http://dx.doi.org/10.1007/s10803-022-05434-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489