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Healthcare Costs of Pediatric Autism Spectrum Disorder in the United States, 2003-2015 / S. H. ZUVEKAS in Journal of Autism and Developmental Disorders, 51-8 (August 2021)
[article]
Titre : Healthcare Costs of Pediatric Autism Spectrum Disorder in the United States, 2003-2015 Type de document : Texte imprimé et/ou numérique Auteurs : S. H. ZUVEKAS, Auteur ; S. D. GROSSE, Auteur ; T. A. LAVELLE, Auteur ; M. J. MAENNER, Auteur ; P. DIETZ, Auteur ; X. JI, Auteur Article en page(s) : p.2950-2958 Langues : Anglais (eng) Mots-clés : Adolescent Autism Spectrum Disorder/diagnosis/economics/therapy Child Child, Preschool Female Health Care Costs Health Expenditures Humans Male United States Autism spectrum disorder Cost analysis Health economics Health services research article to disclose. Index. décimale : PER Périodiques Résumé : Published healthcare cost estimates for children with autism spectrum disorder (ASD) vary widely. One possible contributor is different methods of case ascertainment. In this study, ASD case status was determined using two sources of parent reports among 45,944 children ages 3-17 years in the Medical Expenditure Panel Survey (MEPS) linked to the National Health Interview Survey (NHIS) Sample Child Core questionnaire. In a two-part regression model, the incremental annual per-child cost of ASD relative to no ASD diagnosis was $3930 (2018 US dollars) using ASD case status from the NHIS Child Core and $5621 using current-year ASD case status from MEPS. Both estimates are lower than some published estimates but still represent substantial costs to the US healthcare system. En ligne : http://dx.doi.org/10.1007/s10803-020-04704-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453
in Journal of Autism and Developmental Disorders > 51-8 (August 2021) . - p.2950-2958[article] Healthcare Costs of Pediatric Autism Spectrum Disorder in the United States, 2003-2015 [Texte imprimé et/ou numérique] / S. H. ZUVEKAS, Auteur ; S. D. GROSSE, Auteur ; T. A. LAVELLE, Auteur ; M. J. MAENNER, Auteur ; P. DIETZ, Auteur ; X. JI, Auteur . - p.2950-2958.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 51-8 (August 2021) . - p.2950-2958
Mots-clés : Adolescent Autism Spectrum Disorder/diagnosis/economics/therapy Child Child, Preschool Female Health Care Costs Health Expenditures Humans Male United States Autism spectrum disorder Cost analysis Health economics Health services research article to disclose. Index. décimale : PER Périodiques Résumé : Published healthcare cost estimates for children with autism spectrum disorder (ASD) vary widely. One possible contributor is different methods of case ascertainment. In this study, ASD case status was determined using two sources of parent reports among 45,944 children ages 3-17 years in the Medical Expenditure Panel Survey (MEPS) linked to the National Health Interview Survey (NHIS) Sample Child Core questionnaire. In a two-part regression model, the incremental annual per-child cost of ASD relative to no ASD diagnosis was $3930 (2018 US dollars) using ASD case status from the NHIS Child Core and $5621 using current-year ASD case status from MEPS. Both estimates are lower than some published estimates but still represent substantial costs to the US healthcare system. En ligne : http://dx.doi.org/10.1007/s10803-020-04704-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453 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)
[article]
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
in Journal of Autism and Developmental Disorders > 52-9 (September 2022) . - p.4150-4163[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