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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 Diagnosing autism in low-income countries: Clinical record-based analysis in Sri Lanka / Hashan PEIRIS in Autism Research, 15-7 (July 2022)
[article]
Titre : Diagnosing autism in low-income countries: Clinical record-based analysis in Sri Lanka Type de document : Texte imprimé et/ou numérique Auteurs : Hashan PEIRIS, Auteur ; Darshana Chitraka WICKRAMARACHCHI, Auteur ; Pradeepa SAMARASINGHE, Auteur ; Philip VANCE, Auteur ; Dulangi DAHANAYAKE, Auteur ; Veerandi KULASEKARA, Auteur ; Madhuka NADEESHANI, Auteur Article en page(s) : p.1358-1367 Langues : Anglais (eng) Mots-clés : Asd ASD diagnosing standards ASD predictors Cars autism classification cultural factors logistic regression low-income countries Index. décimale : PER Périodiques Résumé : Use of autism diagnosing standards in low-income countries (LICs) are restricted due to the high price and unavailability of trained health professionals. Furthermore, these standards are heavily skewed towards developed countries and LICs are underrepresented. Due to such constraints, many LICs use their own ways of assessing autism. This is the first retrospective study to analyze such local practices in Sri Lanka. The study was conducted at Ward 19B of Lady Ridgeway Hospital (LRH) using the clinical forms filled for diagnosing ASD. In this study, 356 records were analyzed, from which 79.5% were boys and the median age was 33?months. For each child, the clinical form together with the Childhood Autism Rating Scale (CARS) value were recorded. In this study, a Clinically Derived Autism Score (CDAS) is obtained from the clinical forms. Scatter plot and Pearson product moment correlation coefficient were used to benchmark CDAS with CARS, and it was found CDAS to be positively and moderately correlated with CARS. In identifying the significant variables, a logistic regression model was built based on clinically observed data and it evidenced that "Eye Contact," "Interaction with Others," "Pointing," "Flapping of Hands," "Request for Needs," "Rotate Wheels," and "Line up Things" variables as the most significant variables in diagnosing autism. Based on these significant predictors, the classification tree was built. The pruned tree depicts a set of rules, which could be used in similar clinical environments to screen for autism. LAY SUMMARY: Screening and diagnosing autism in low-income countries such as Sri Lanka has always been a challenge due to limited resources and not being able to afford global standards. Due to these challenges, locally developed clinical forms have been used. This study is the first to analyze a clinical record set for autism in Sri Lanka to benchmark the local clinic form with a global standard. Furthermore, this study identifies the most significant diagnostic symptoms for children and based on these significant features, a simple set of IF-THEN rules are derived which could be used for screening autism in a similar clinical environment by health officials in the absence of consultants. En ligne : http://dx.doi.org/10.1002/aur.2765 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477
in Autism Research > 15-7 (July 2022) . - p.1358-1367[article] Diagnosing autism in low-income countries: Clinical record-based analysis in Sri Lanka [Texte imprimé et/ou numérique] / Hashan PEIRIS, Auteur ; Darshana Chitraka WICKRAMARACHCHI, Auteur ; Pradeepa SAMARASINGHE, Auteur ; Philip VANCE, Auteur ; Dulangi DAHANAYAKE, Auteur ; Veerandi KULASEKARA, Auteur ; Madhuka NADEESHANI, Auteur . - p.1358-1367.
Langues : Anglais (eng)
in Autism Research > 15-7 (July 2022) . - p.1358-1367
Mots-clés : Asd ASD diagnosing standards ASD predictors Cars autism classification cultural factors logistic regression low-income countries Index. décimale : PER Périodiques Résumé : Use of autism diagnosing standards in low-income countries (LICs) are restricted due to the high price and unavailability of trained health professionals. Furthermore, these standards are heavily skewed towards developed countries and LICs are underrepresented. Due to such constraints, many LICs use their own ways of assessing autism. This is the first retrospective study to analyze such local practices in Sri Lanka. The study was conducted at Ward 19B of Lady Ridgeway Hospital (LRH) using the clinical forms filled for diagnosing ASD. In this study, 356 records were analyzed, from which 79.5% were boys and the median age was 33?months. For each child, the clinical form together with the Childhood Autism Rating Scale (CARS) value were recorded. In this study, a Clinically Derived Autism Score (CDAS) is obtained from the clinical forms. Scatter plot and Pearson product moment correlation coefficient were used to benchmark CDAS with CARS, and it was found CDAS to be positively and moderately correlated with CARS. In identifying the significant variables, a logistic regression model was built based on clinically observed data and it evidenced that "Eye Contact," "Interaction with Others," "Pointing," "Flapping of Hands," "Request for Needs," "Rotate Wheels," and "Line up Things" variables as the most significant variables in diagnosing autism. Based on these significant predictors, the classification tree was built. The pruned tree depicts a set of rules, which could be used in similar clinical environments to screen for autism. LAY SUMMARY: Screening and diagnosing autism in low-income countries such as Sri Lanka has always been a challenge due to limited resources and not being able to afford global standards. Due to these challenges, locally developed clinical forms have been used. This study is the first to analyze a clinical record set for autism in Sri Lanka to benchmark the local clinic form with a global standard. Furthermore, this study identifies the most significant diagnostic symptoms for children and based on these significant features, a simple set of IF-THEN rules are derived which could be used for screening autism in a similar clinical environment by health officials in the absence of consultants. En ligne : http://dx.doi.org/10.1002/aur.2765 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 Investigation of Individual Factors Associated with Anxiety in Youth with Autism Spectrum Disorders / Ashley H. DUBIN in Journal of Autism and Developmental Disorders, 45-9 (September 2015)
[article]
Titre : Investigation of Individual Factors Associated with Anxiety in Youth with Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Ashley H. DUBIN, Auteur ; Rebecca LIEBERMAN-BETZ, Auteur ; A. MICHELE LEASE, Auteur Article en page(s) : p.2947-2960 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Anxiety Cognitive functioning Logistic regression Index. décimale : PER Périodiques Résumé : As youth with autism spectrum disorder (ASD) are more likely to experience anxiety than youth in the general population, investigation of associated factors is important for diagnosis and treatment. The present study extended prior research by examining factors associated with caregiver-reported anxiety in 2662 youth (mean age = 8.82 years) with ASD. Logistic regression analyses indicated increases in age, social problems, and cognitive functioning predicted high anxiety group membership. Cognitive functioning moderated the relation of adaptive social behaviors and anxiety. Results from the present study provide support for previously identified factors associated with anxiety; however, further investigation is necessary to uncover additional factors and to explore their relation to anxiety across individuals with ASD with varying levels of cognitive functioning. En ligne : http://dx.doi.org/10.1007/s10803-015-2458-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267
in Journal of Autism and Developmental Disorders > 45-9 (September 2015) . - p.2947-2960[article] Investigation of Individual Factors Associated with Anxiety in Youth with Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Ashley H. DUBIN, Auteur ; Rebecca LIEBERMAN-BETZ, Auteur ; A. MICHELE LEASE, Auteur . - p.2947-2960.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 45-9 (September 2015) . - p.2947-2960
Mots-clés : Autism spectrum disorder Anxiety Cognitive functioning Logistic regression Index. décimale : PER Périodiques Résumé : As youth with autism spectrum disorder (ASD) are more likely to experience anxiety than youth in the general population, investigation of associated factors is important for diagnosis and treatment. The present study extended prior research by examining factors associated with caregiver-reported anxiety in 2662 youth (mean age = 8.82 years) with ASD. Logistic regression analyses indicated increases in age, social problems, and cognitive functioning predicted high anxiety group membership. Cognitive functioning moderated the relation of adaptive social behaviors and anxiety. Results from the present study provide support for previously identified factors associated with anxiety; however, further investigation is necessary to uncover additional factors and to explore their relation to anxiety across individuals with ASD with varying levels of cognitive functioning. En ligne : http://dx.doi.org/10.1007/s10803-015-2458-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267 Predictors of Trauma Exposure and Trauma Diagnoses for Children with Autism and Developmental Disorders Served in a Community Mental Health Clinic / John D. HOCH in Journal of Autism and Developmental Disorders, 50-2 (February 2020)
[article]
Titre : Predictors of Trauma Exposure and Trauma Diagnoses for Children with Autism and Developmental Disorders Served in a Community Mental Health Clinic Type de document : Texte imprimé et/ou numérique Auteurs : John D. HOCH, Auteur ; Adriana M. YOUSSEF, Auteur Article en page(s) : p.634-649 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders Developmental disabilities Logistic regression Potentially traumatic experiences Trauma Index. décimale : PER Périodiques Résumé : Exposure to potentially traumatic events (PTEs), and trauma related diagnoses are poorly understood in autism spectrum disorders (ASD) and developmental disabilities (DD). The current study examined N = 7695 cases seen by a community mental health provider to compare exposure to PTEs and trauma-related diagnoses between children with ASD, children with DD, and children with other mental health diagnoses (e.g., depression). Predictors included demographics, exposure to negative life events, living situations, and subscales of the strengths and difficulties questionnaire (SDQ). Logistic regressions showed that diagnostic group, number and type of negative life events and locations lived, and SDQ subscale scores predicted trauma reports and trauma diagnoses. The findings suggest screener questions that may be useful across diagnostic groups. En ligne : http://dx.doi.org/10.1007/s10803-019-04331-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=416
in Journal of Autism and Developmental Disorders > 50-2 (February 2020) . - p.634-649[article] Predictors of Trauma Exposure and Trauma Diagnoses for Children with Autism and Developmental Disorders Served in a Community Mental Health Clinic [Texte imprimé et/ou numérique] / John D. HOCH, Auteur ; Adriana M. YOUSSEF, Auteur . - p.634-649.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 50-2 (February 2020) . - p.634-649
Mots-clés : Autism spectrum disorders Developmental disabilities Logistic regression Potentially traumatic experiences Trauma Index. décimale : PER Périodiques Résumé : Exposure to potentially traumatic events (PTEs), and trauma related diagnoses are poorly understood in autism spectrum disorders (ASD) and developmental disabilities (DD). The current study examined N = 7695 cases seen by a community mental health provider to compare exposure to PTEs and trauma-related diagnoses between children with ASD, children with DD, and children with other mental health diagnoses (e.g., depression). Predictors included demographics, exposure to negative life events, living situations, and subscales of the strengths and difficulties questionnaire (SDQ). Logistic regressions showed that diagnostic group, number and type of negative life events and locations lived, and SDQ subscale scores predicted trauma reports and trauma diagnoses. The findings suggest screener questions that may be useful across diagnostic groups. En ligne : http://dx.doi.org/10.1007/s10803-019-04331-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=416 Maternal risk factors vary between subpopulations of children with autism spectrum disorder / Genevieve GRIVAS in Autism Research, 15-11 (November 2022)
[article]
Titre : Maternal risk factors vary between subpopulations of children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Genevieve GRIVAS, Auteur ; Richard E. FRYE, Auteur ; Juergen HAHN, Auteur Article en page(s) : p.2038-2055 Langues : Anglais (eng) Mots-clés : Child Pregnancy Female Humans Autism Spectrum Disorder/complications/epidemiology/diagnosis Case-Control Studies Pregnancy Complications Risk Factors Immune System Diseases/complications Seizures/complications associated risk autism spectrum disorder co-occurring conditions logistic regression medical claims retrospective analysis subgroups Index. décimale : PER Périodiques Résumé : Previous work identified three subgroups of children with ASD based upon co-occurring conditions (COCs) diagnosed during the first 5 years of life. This work examines prenatal risk factors, given by maternal medical claims, for each of the three subgroups: children with a High-Prevalence of COCs, children with mainly developmental delay and seizures (DD/Seizure COCs), and children with a Low-Prevalence of COCs. While some risk factors are shared by all three subgroups, the majority of the factors identified for each subgroup were unique; infections, anti-inflammatory and other complex medications were associated with the High-Prevalence COCs group; immune deregulatory conditions such as asthma and joint disorders were associated with the DD/Seizure COCs group; and overall pregnancy complications were associated with the Low-Prevalence COCs group. Thus, we have found that the previously identified subgroups of children with ASD have distinct associated prenatal risk factors. As such, this work supports subgrouping children with ASD based upon COCs, which may provide a framework for elucidating some of the heterogeneity associated with ASD. En ligne : http://dx.doi.org/10.1002/aur.2809 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488
in Autism Research > 15-11 (November 2022) . - p.2038-2055[article] Maternal risk factors vary between subpopulations of children with autism spectrum disorder [Texte imprimé et/ou numérique] / Genevieve GRIVAS, Auteur ; Richard E. FRYE, Auteur ; Juergen HAHN, Auteur . - p.2038-2055.
Langues : Anglais (eng)
in Autism Research > 15-11 (November 2022) . - p.2038-2055
Mots-clés : Child Pregnancy Female Humans Autism Spectrum Disorder/complications/epidemiology/diagnosis Case-Control Studies Pregnancy Complications Risk Factors Immune System Diseases/complications Seizures/complications associated risk autism spectrum disorder co-occurring conditions logistic regression medical claims retrospective analysis subgroups Index. décimale : PER Périodiques Résumé : Previous work identified three subgroups of children with ASD based upon co-occurring conditions (COCs) diagnosed during the first 5 years of life. This work examines prenatal risk factors, given by maternal medical claims, for each of the three subgroups: children with a High-Prevalence of COCs, children with mainly developmental delay and seizures (DD/Seizure COCs), and children with a Low-Prevalence of COCs. While some risk factors are shared by all three subgroups, the majority of the factors identified for each subgroup were unique; infections, anti-inflammatory and other complex medications were associated with the High-Prevalence COCs group; immune deregulatory conditions such as asthma and joint disorders were associated with the DD/Seizure COCs group; and overall pregnancy complications were associated with the Low-Prevalence COCs group. Thus, we have found that the previously identified subgroups of children with ASD have distinct associated prenatal risk factors. As such, this work supports subgrouping children with ASD based upon COCs, which may provide a framework for elucidating some of the heterogeneity associated with ASD. En ligne : http://dx.doi.org/10.1002/aur.2809 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488