Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses / Scott D. GROSSE in Journal of Autism and Developmental Disorders, 52-9 (September 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-9 (September 2022) . - p.4150-4163 Titre : Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses Type de document : Texte imprimé et/ou numérique Auteurs : Scott D. GROSSE, Auteur ; Phyllis NICHOLS, Auteur ; Kwame NYARKO, Auteur ; Matthew MAENNER, Auteur ; Melissa L. DANIELSON, Auteur ; Lindsay SHEA, Auteur Article en page(s) : p.4150-4163 Langues : Anglais (eng) Mots-clés : Algorithms  Autism Spectrum Disorder/diagnosis/epidemiology  Databases, Factual  Humans  Insurance Coverage  United States/epidemiology  Autism spectrum disorder  Case-finding algorithms  Claims data  Health services research  article to disclose. Index. décimale : PER Périodiques Résumé : Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD. Researchers have employed varying strategies to identify individuals with ASD in administrative data. Differences in these strategies can limit the comparability of results across studies. This review describes implications of the varying strategies that have been employed to identify individuals with ASD in US claims databases, with consideration of the strengths and limitations of each approach. En ligne : http://dx.doi.org/10.1007/s10803-021-05269-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 [article] Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses [Texte imprimé et/ou numérique] / Scott D. GROSSE, Auteur ; Phyllis NICHOLS, Auteur ; Kwame NYARKO, Auteur ; Matthew MAENNER, Auteur ; Melissa L. DANIELSON, Auteur ; Lindsay SHEA, Auteur . - p.4150-4163. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-9 (September 2022) . - p.4150-4163 Mots-clés : Algorithms  Autism Spectrum Disorder/diagnosis/epidemiology  Databases, Factual  Humans  Insurance Coverage  United States/epidemiology  Autism spectrum disorder  Case-finding algorithms  Claims data  Health services research  article to disclose. Index. décimale : PER Périodiques Résumé : Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD. Researchers have employed varying strategies to identify individuals with ASD in administrative data. Differences in these strategies can limit the comparability of results across studies. This review describes implications of the varying strategies that have been employed to identify individuals with ASD in US claims databases, with consideration of the strengths and limitations of each approach. En ligne : http://dx.doi.org/10.1007/s10803-021-05269-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486

National and State Estimates of Adults with Autism Spectrum Disorder / Patricia M. DIETZ in Journal of Autism and Developmental Disorders, 50-12 (December 2020)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 50-12 (December 2020) . - p.4258-4266 Titre : National and State Estimates of Adults with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Patricia M. DIETZ, Auteur ; Charles E. ROSE, Auteur ; Dedria MCARTHUR, Auteur ; Matthew MAENNER, Auteur Article en page(s) : p.4258-4266 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Developmental disabilities  Intellectual disability  Modeling  Prevalence estimates Index. décimale : PER Périodiques Résumé : U.S. national and state population-based estimates of adults living with autism spectrum disorder (ASD) are nonexistent due to the lack of existing surveillance systems funded to address this need. Therefore, we estimated national and state prevalence of adults 18-84 years living with ASD using simulation in conjunction with Bayesian hierarchal models. In 2017, we estimated that approximately 2.21% (95% simulation interval (SI) 1.95%, 2.45%) or 5,437,988 U.S. adults aged 18 and older have ASD, with state prevalence ranging from 1.97% (95% SI 1.55%, 2.45%) in Louisiana to 2.42% (95% SI 1.93%, 2.99%) in Massachusetts. Prevalence and case estimates of adults living with ASD (diagnosed and undiagnosed) can help states estimate the need for diagnosing and providing services to those unidentified. En ligne : http://dx.doi.org/10.1007/s10803-020-04494-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 [article] National and State Estimates of Adults with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Patricia M. DIETZ, Auteur ; Charles E. ROSE, Auteur ; Dedria MCARTHUR, Auteur ; Matthew MAENNER, Auteur . - p.4258-4266. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 50-12 (December 2020) . - p.4258-4266 Mots-clés : Autism spectrum disorder  Developmental disabilities  Intellectual disability  Modeling  Prevalence estimates Index. décimale : PER Périodiques Résumé : U.S. national and state population-based estimates of adults living with autism spectrum disorder (ASD) are nonexistent due to the lack of existing surveillance systems funded to address this need. Therefore, we estimated national and state prevalence of adults 18-84 years living with ASD using simulation in conjunction with Bayesian hierarchal models. In 2017, we estimated that approximately 2.21% (95% simulation interval (SI) 1.95%, 2.45%) or 5,437,988 U.S. adults aged 18 and older have ASD, with state prevalence ranging from 1.97% (95% SI 1.55%, 2.45%) in Louisiana to 2.42% (95% SI 1.93%, 2.99%) in Massachusetts. Prevalence and case estimates of adults living with ASD (diagnosed and undiagnosed) can help states estimate the need for diagnosing and providing services to those unidentified. En ligne : http://dx.doi.org/10.1007/s10803-020-04494-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434

The role of intellectual disability with autism spectrum disorder and the documented cooccurring conditions: A population-based study / Semra ETYEMEZ in Autism Research, 15-12 (December 2022)  

Public ISBD [article]  inAutism Research > 15-12 (December 2022) . - p.2399-2408 Titre : The role of intellectual disability with autism spectrum disorder and the documented cooccurring conditions: A population-based study Type de document : Texte imprimé et/ou numérique Auteurs : Semra ETYEMEZ, Auteur ; Amy ESLER, Auteur ; Aniket KINI, Auteur ; Peng-Chou TSAI, Auteur ; Monica DIRIENZO, Auteur ; Matthew MAENNER, Auteur ; Li-Ching LEE, Auteur Article en page(s) : p.2399-2408 Langues : Anglais (eng) Mots-clés : Child  Humans  Autism Spectrum Disorder/complications/epidemiology  Intellectual Disability/complications/epidemiology  Prevalence  Research  Autistic Disorder  autism spectrum disorder  autistic disorder  developmental disabilities  intellectual disability  nervous system diseases Index. décimale : PER Périodiques Résumé : Previous research has identified that patterns of cooccurring conditions (CoCs) associated with autism spectrum disorder (ASD) differ based on the presence of intellectual disability (ID). This study explored the association of documented CoCs among 8-year-old children with ASD and ID (ASD+ID, n = 2416) and ASD without ID (ASD-ID, n = 5372) identified by the Autism and Developmental Disabilities Monitoring Network, surveillance years (SYs) 2012 and 2014. After adjusting for demographic variables, record source, surveillance site, and SY, children with ASD+ID, as compared with children with ASD-ID, were more likely to have histories of nonspecific developmental delays and neurological disorders documented in their records but were less likely to have behavioral and psychiatric disorders. ID plays a key role on how children with ASD would experience other CoCs. Our results emphasize how understanding the pattern of CoCs in ASD+ID and ASD-ID can inform comprehensive and multidisciplinary approaches in assessment and management of children in order to develop targeted interventions to reduce possible CoCs or CoCs-related impairments. En ligne : http://dx.doi.org/10.1002/aur.2831 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 [article] The role of intellectual disability with autism spectrum disorder and the documented cooccurring conditions: A population-based study [Texte imprimé et/ou numérique] / Semra ETYEMEZ, Auteur ; Amy ESLER, Auteur ; Aniket KINI, Auteur ; Peng-Chou TSAI, Auteur ; Monica DIRIENZO, Auteur ; Matthew MAENNER, Auteur ; Li-Ching LEE, Auteur . - p.2399-2408. Langues : Anglais (eng) in Autism Research > 15-12 (December 2022) . - p.2399-2408 Mots-clés : Child  Humans  Autism Spectrum Disorder/complications/epidemiology  Intellectual Disability/complications/epidemiology  Prevalence  Research  Autistic Disorder  autism spectrum disorder  autistic disorder  developmental disabilities  intellectual disability  nervous system diseases Index. décimale : PER Périodiques Résumé : Previous research has identified that patterns of cooccurring conditions (CoCs) associated with autism spectrum disorder (ASD) differ based on the presence of intellectual disability (ID). This study explored the association of documented CoCs among 8-year-old children with ASD and ID (ASD+ID, n = 2416) and ASD without ID (ASD-ID, n = 5372) identified by the Autism and Developmental Disabilities Monitoring Network, surveillance years (SYs) 2012 and 2014. After adjusting for demographic variables, record source, surveillance site, and SY, children with ASD+ID, as compared with children with ASD-ID, were more likely to have histories of nonspecific developmental delays and neurological disorders documented in their records but were less likely to have behavioral and psychiatric disorders. ID plays a key role on how children with ASD would experience other CoCs. Our results emphasize how understanding the pattern of CoCs in ASD+ID and ASD-ID can inform comprehensive and multidisciplinary approaches in assessment and management of children in order to develop targeted interventions to reduce possible CoCs or CoCs-related impairments. En ligne : http://dx.doi.org/10.1002/aur.2831 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488

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