Children's social preference for teachers versus peers in autism inclusion classrooms: An objective perspective / Madison DRYE ; Chitra BANARJEE ; Lynn K. PERRY ; Alyssa VIGGIANO ; Dwight W. IRVIN ; Daniel S. MESSINGER in Autism Research, 18-1 (January 2025)  

Public ISBD [article]  inAutism Research > 18-1 (January 2025) . - p.179-194 Titre : Children's social preference for teachers versus peers in autism inclusion classrooms: An objective perspective : Autism Research Type de document : texte imprimé Auteurs : Madison DRYE, Auteur ; Chitra BANARJEE, Auteur ; Lynn K. PERRY, Auteur ; Alyssa VIGGIANO, Auteur ; Dwight W. IRVIN, Auteur ; Daniel S. MESSINGER, Auteur Article en page(s) : p.179-194 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  developmental disabilities  inclusion classrooms  objective measurement  social interaction Index. décimale : PER Périodiques Résumé : Abstract In inclusive preschools, children with autism spectrum disorder (ASD) and other developmental disabilities (DD) are less socially engaged with peers than are typically developing (TD) children. However, there is limited objective information describing how children with ASD engage with teachers, or how teacher engagement compares to engagement with peers. We tracked over 750 hours' worth of children's (N 77; NASD 24, NDD 23, NTD 30; Mage 43.98 months) and teachers' (N 12) locations and orientations across eight inclusion preschool classrooms to quantify child-teacher and child-peer social preference. Social approach velocity and time in social contact were computed for each child and compared across social partners to index children's preference for teachers over peers. Children with ASD approached teachers?-but not peers?more quickly than children with TD, and children with ASD were approached more quickly by teachers and more slowly by peers than children with TD. Children with ASD spent less time in social contact with peers and did not differ from children with TD in their time in social contact with teachers. Overall, children with ASD showed a greater preference for approaching, being approached by, and being in social contact with teachers (relative to peers) than children with TD. No significant differences emerged between children with DD and children with TD. In conclusion, children with ASD exhibited a stronger preference for engaging with teachers over peers, re-emphasizing the need for classroom-based interventions that support the peer interactions of children with ASD. En ligne : https://doi.org/10.1002/aur.3276 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=546 [article] Children's social preference for teachers versus peers in autism inclusion classrooms: An objective perspective : Autism Research [texte imprimé] / Madison DRYE, Auteur ; Chitra BANARJEE, Auteur ; Lynn K. PERRY, Auteur ; Alyssa VIGGIANO, Auteur ; Dwight W. IRVIN, Auteur ; Daniel S. MESSINGER, Auteur . - p.179-194. Langues : Anglais (eng) in Autism Research > 18-1 (January 2025) . - p.179-194 Mots-clés : autism spectrum disorder  developmental disabilities  inclusion classrooms  objective measurement  social interaction Index. décimale : PER Périodiques Résumé : Abstract In inclusive preschools, children with autism spectrum disorder (ASD) and other developmental disabilities (DD) are less socially engaged with peers than are typically developing (TD) children. However, there is limited objective information describing how children with ASD engage with teachers, or how teacher engagement compares to engagement with peers. We tracked over 750 hours' worth of children's (N 77; NASD 24, NDD 23, NTD 30; Mage 43.98 months) and teachers' (N 12) locations and orientations across eight inclusion preschool classrooms to quantify child-teacher and child-peer social preference. Social approach velocity and time in social contact were computed for each child and compared across social partners to index children's preference for teachers over peers. Children with ASD approached teachers?-but not peers?more quickly than children with TD, and children with ASD were approached more quickly by teachers and more slowly by peers than children with TD. Children with ASD spent less time in social contact with peers and did not differ from children with TD in their time in social contact with teachers. Overall, children with ASD showed a greater preference for approaching, being approached by, and being in social contact with teachers (relative to peers) than children with TD. No significant differences emerged between children with DD and children with TD. In conclusion, children with ASD exhibited a stronger preference for engaging with teachers over peers, re-emphasizing the need for classroom-based interventions that support the peer interactions of children with ASD. En ligne : https://doi.org/10.1002/aur.3276 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=546

Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records / Mengge ZHAO in Journal of Neurodevelopmental Disorders, 14 (2022)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 14 (2022) Titre : Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records Type de document : texte imprimé Auteurs : Mengge ZHAO, Auteur ; James HAVRILLA, Auteur ; Jacqueline PENG, Auteur ; Madison DRYE, Auteur ; Maddie FECHER, Auteur ; Whitney GUTHRIE, Auteur ; Birkan TUNC, Auteur ; Robert SCHULTZ, Auteur ; Kai WANG, Auteur ; Yunyun ZHOU, Auteur Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis/genetics  Electronic Health Records  Humans  Natural Language Processing  Phenotype  Vocabulary  Autism  Autism spectrum disorder  Electronic health record  Natural language processing  Phenotype ontology  Terminology set Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by restricted, repetitive behavior, and impaired social communication and interactions. However, significant challenges remain in diagnosing and subtyping ASD due in part to the lack of a validated, standardized vocabulary to characterize clinical phenotypic presentation of ASD. Although the human phenotype ontology (HPO) plays an important role in delineating nuanced phenotypes for rare genetic diseases, it is inadequate to capture characteristic of behavioral and psychiatric phenotypes for individuals with ASD. There is a clear need, therefore, for a well-established phenotype terminology set that can assist in characterization of ASD phenotypes from patients' clinical narratives. METHODS: To address this challenge, we used natural language processing (NLP) techniques to identify and curate ASD phenotypic terms from high-quality unstructured clinical notes in the electronic health record (EHR) on 8499 individuals with ASD, 8177 individuals with non-ASD psychiatric disorders, and 8482 individuals without a documented psychiatric disorder. We further performed dimensional reduction clustering analysis to subgroup individuals with ASD, using nonnegative matrix factorization method. RESULTS: Through a note-processing pipeline that includes several steps of state-of-the-art NLP approaches, we identified 3336 ASD terms linking to 1943 unique medical concepts, which represents among the largest ASD terminology set to date. The extracted ASD terms were further organized in a formal ontology structure similar to the HPO. Clustering analysis showed that these terms could be used in a diagnostic pipeline to differentiate individuals with ASD from individuals with other psychiatric disorders. CONCLUSION: Our ASD phenotype ontology can assist clinicians and researchers in characterizing individuals with ASD, facilitating automated diagnosis, and subtyping individuals with ASD to facilitate personalized therapeutic decision-making. En ligne : https://dx.doi.org/10.1186/s11689-022-09442-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574 [article] Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records [texte imprimé] / Mengge ZHAO, Auteur ; James HAVRILLA, Auteur ; Jacqueline PENG, Auteur ; Madison DRYE, Auteur ; Maddie FECHER, Auteur ; Whitney GUTHRIE, Auteur ; Birkan TUNC, Auteur ; Robert SCHULTZ, Auteur ; Kai WANG, Auteur ; Yunyun ZHOU, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 14 (2022) Mots-clés : Autism Spectrum Disorder/diagnosis/genetics  Electronic Health Records  Humans  Natural Language Processing  Phenotype  Vocabulary  Autism  Autism spectrum disorder  Electronic health record  Natural language processing  Phenotype ontology  Terminology set Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by restricted, repetitive behavior, and impaired social communication and interactions. However, significant challenges remain in diagnosing and subtyping ASD due in part to the lack of a validated, standardized vocabulary to characterize clinical phenotypic presentation of ASD. Although the human phenotype ontology (HPO) plays an important role in delineating nuanced phenotypes for rare genetic diseases, it is inadequate to capture characteristic of behavioral and psychiatric phenotypes for individuals with ASD. There is a clear need, therefore, for a well-established phenotype terminology set that can assist in characterization of ASD phenotypes from patients' clinical narratives. METHODS: To address this challenge, we used natural language processing (NLP) techniques to identify and curate ASD phenotypic terms from high-quality unstructured clinical notes in the electronic health record (EHR) on 8499 individuals with ASD, 8177 individuals with non-ASD psychiatric disorders, and 8482 individuals without a documented psychiatric disorder. We further performed dimensional reduction clustering analysis to subgroup individuals with ASD, using nonnegative matrix factorization method. RESULTS: Through a note-processing pipeline that includes several steps of state-of-the-art NLP approaches, we identified 3336 ASD terms linking to 1943 unique medical concepts, which represents among the largest ASD terminology set to date. The extracted ASD terms were further organized in a formal ontology structure similar to the HPO. Clustering analysis showed that these terms could be used in a diagnostic pipeline to differentiate individuals with ASD from individuals with other psychiatric disorders. CONCLUSION: Our ASD phenotype ontology can assist clinicians and researchers in characterizing individuals with ASD, facilitating automated diagnosis, and subtyping individuals with ASD to facilitate personalized therapeutic decision-making. En ligne : https://dx.doi.org/10.1186/s11689-022-09442-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574

Prevalence of autism spectrum disorder in a large pediatric primary care network / Kate E. WALLIS in Autism, 27-6 (August 2023)  

Public ISBD [article]  inAutism > 27-6 (August 2023) . - p.1840-1846 Titre : Prevalence of autism spectrum disorder in a large pediatric primary care network Type de document : texte imprimé Auteurs : Kate E. WALLIS, Auteur ; Toore ADEBAJO, Auteur ; Amanda E. BENNETT, Auteur ; Madison DRYE, Auteur ; Marsha GERDES, Auteur ; Judith S. MILLER, Auteur ; Whitney GUTHRIE, Auteur Article en page(s) : p.1840-1846 Langues : Anglais (eng) Mots-clés : autism spectrum disorder;diagnosis;prevalence;screening Index. décimale : PER Périodiques Résumé : In this retrospective cohort study using data from an integrated primary care and subspecialty network, we examined medical records of children seen in primary care at eligible autism spectrum disorder (ASD) screening ages and followed through at least 4 years of age. We examined the prevalence of ASD; age of first documented ASD diagnosis; and whether the prevalence and age of documented diagnosis varied by race, ethnicity, socio-economic status (SES) and site of care (urban versus suburban/rural). The prevalence of ASD across the cohort was 3.2%, with a median age of diagnosis of 3.93 years. ASD prevalence was unexpectedly higher among Asian children, non-Hispanic Black children, children with higher Social Vulnerability Index scores (a neighborhood-level proxy of socio-economic risk), and children who received care in urban primary care sites. There were no statistically significant differences in age at which ASD diagnosis was documented across socio-demographic groups. Receiving primary care at an urban site accounted for most other socio-demographic differences in ASD prevalence rates, except among Asian children, who were found to have higher adjusted odds of ASD diagnosis compared to White children (aOR=1.82, p<.001). Determining what clinical-, individual- or systems-level factors contribute to ASD diagnosis remains important to improve equity.Lay AbstractHistorically, children from non-Hispanic Black and Hispanic backgrounds, those from lower-income families, and girls are less likely to be diagnosed with autism spectrum disorder. Under-identification among these historically and contemporaneously marginalized groups can limit their access to early, autism spectrum disorder-specific interventions, which can have long-term negative impacts. Recent data suggest that some of these trends may be narrowing, or even reversing. Using electronic health record data, we calculated autism spectrum disorder prevalence rates and age of first documented diagnosis across socio-demographic groups. Our cohort included children seen at young ages (when eligible for screening in early childhood) and again at least after 4 years of age in a large primary care network. We found that autism spectrum disorder prevalence was unexpectedly higher among Asian children, non-Hispanic Black children, children with higher Social Vulnerability Index scores (a measure of socio-economic risk at the neighborhood level), and children who received care in urban primary care sites. We did not find differences in the age at which autism spectrum disorder diagnoses were documented in children s records across these groups. Receiving primary care at an urban site (regardless of location of specialty care) appeared to account for most other socio-demographic differences in autism spectrum disorder prevalence rates, except among Asian children, who remained more likely to be diagnosed with autism spectrum disorder after controlling for other factors. We must continue to better understand the process by which children with autism spectrum disorder from traditionally under-identified and under-served backgrounds come to be recognized, to continue to improve the equity of care. En ligne : http://dx.doi.org/10.1177/13623613221147396 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=509 [article] Prevalence of autism spectrum disorder in a large pediatric primary care network [texte imprimé] / Kate E. WALLIS, Auteur ; Toore ADEBAJO, Auteur ; Amanda E. BENNETT, Auteur ; Madison DRYE, Auteur ; Marsha GERDES, Auteur ; Judith S. MILLER, Auteur ; Whitney GUTHRIE, Auteur . - p.1840-1846. Langues : Anglais (eng) in Autism > 27-6 (August 2023) . - p.1840-1846 Mots-clés : autism spectrum disorder;diagnosis;prevalence;screening Index. décimale : PER Périodiques Résumé : In this retrospective cohort study using data from an integrated primary care and subspecialty network, we examined medical records of children seen in primary care at eligible autism spectrum disorder (ASD) screening ages and followed through at least 4 years of age. We examined the prevalence of ASD; age of first documented ASD diagnosis; and whether the prevalence and age of documented diagnosis varied by race, ethnicity, socio-economic status (SES) and site of care (urban versus suburban/rural). The prevalence of ASD across the cohort was 3.2%, with a median age of diagnosis of 3.93 years. ASD prevalence was unexpectedly higher among Asian children, non-Hispanic Black children, children with higher Social Vulnerability Index scores (a neighborhood-level proxy of socio-economic risk), and children who received care in urban primary care sites. There were no statistically significant differences in age at which ASD diagnosis was documented across socio-demographic groups. Receiving primary care at an urban site accounted for most other socio-demographic differences in ASD prevalence rates, except among Asian children, who were found to have higher adjusted odds of ASD diagnosis compared to White children (aOR=1.82, p<.001). Determining what clinical-, individual- or systems-level factors contribute to ASD diagnosis remains important to improve equity.Lay AbstractHistorically, children from non-Hispanic Black and Hispanic backgrounds, those from lower-income families, and girls are less likely to be diagnosed with autism spectrum disorder. Under-identification among these historically and contemporaneously marginalized groups can limit their access to early, autism spectrum disorder-specific interventions, which can have long-term negative impacts. Recent data suggest that some of these trends may be narrowing, or even reversing. Using electronic health record data, we calculated autism spectrum disorder prevalence rates and age of first documented diagnosis across socio-demographic groups. Our cohort included children seen at young ages (when eligible for screening in early childhood) and again at least after 4 years of age in a large primary care network. We found that autism spectrum disorder prevalence was unexpectedly higher among Asian children, non-Hispanic Black children, children with higher Social Vulnerability Index scores (a measure of socio-economic risk at the neighborhood level), and children who received care in urban primary care sites. We did not find differences in the age at which autism spectrum disorder diagnoses were documented in children s records across these groups. Receiving primary care at an urban site (regardless of location of specialty care) appeared to account for most other socio-demographic differences in autism spectrum disorder prevalence rates, except among Asian children, who remained more likely to be diagnosed with autism spectrum disorder after controlling for other factors. We must continue to better understand the process by which children with autism spectrum disorder from traditionally under-identified and under-served backgrounds come to be recognized, to continue to improve the equity of care. En ligne : http://dx.doi.org/10.1177/13623613221147396 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=509

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