Developmental profiles of children at risk for autism spectrum disorder at school entry / Angie IP in Autism Research, 15-7 (July 2022)  

Public ISBD [article]  inAutism Research > 15-7 (July 2022) . - p.1301-1310 Titre : Developmental profiles of children at risk for autism spectrum disorder at school entry Type de document : texte imprimé Auteurs : Angie IP, Auteur ; Brenda T. POON, Auteur ; Gillian E. HANLEY, Auteur ; Martin GUHN, Auteur ; Tim F. OBERLANDER, Auteur Article en page(s) : p.1301-1310 Langues : Anglais (eng) Mots-clés : attention deficit disorder  autism spectrum disorder  child development  cohort studies  diagnosis  functional status  health equity Index. décimale : PER Périodiques Résumé : Functional abilities in children with autism spectrum disorder (ASD) are highly heterogenous, and impairments can overlap with non-ASD neurodevelopmental disorders. We compared the profiles of children assessed for ASD with and without an ASD diagnosis using a retrospective cohort study of 101,739 children born in British Columbia (2000-2008). The children were grouped into the following five comparison groups: (1) ASD- (n = 1131), (2) ASD+ (n = 1583), (3) Ministry of Education designated ASD+ (n = 654), (4) special need other than ASD (n = 11,663), and (5) typically developing (n = 86,708). Five developmental domains were assessed using the Early Development Instrument. ANCOVA was used to control for covariates, Tukey's HSD test for multiple comparisons, and Cohen's d for effect size. The ASD- group had slightly higher scores than the ASD+ group with small to medium effect sizes in all domains (d = 0.20-0.48). The ASD- group had slightly higher scores than the Ministry of Education ASD+ group in only three domains with small effect sizes (d = 0.21-0.25). The ASD- group had lower scores in all domains compared to the typically developing group with large effect sizes in all domains (d = 1.12-1.77). The ASD- group received less education funding at school entry than both ASD+ groups. Overall, only small to medium differences in development were detected between the ASD- and ASD+ groups. While these children differ diagnostically, they share similar functional profiles and have substantially more difficulties than typically developing children. Therefore, differences in levels of support at school entry raise critical questions of equity. LAY SUMMARY: Comparison of children in British Columbia who have been referred for an autism assessment, with or without a diagnosis, shows similarities in their functional and developmental profiles in kindergarten. Furthermore, both groups of children have more difficulties than typically developing children. However, children who have been referred for assessment without an autism diagnosis receive less financial support at school entry, raising important questions on equity. En ligne : http://dx.doi.org/10.1002/aur.2742 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 [article] Developmental profiles of children at risk for autism spectrum disorder at school entry [texte imprimé] / Angie IP, Auteur ; Brenda T. POON, Auteur ; Gillian E. HANLEY, Auteur ; Martin GUHN, Auteur ; Tim F. OBERLANDER, Auteur . - p.1301-1310. Langues : Anglais (eng) in Autism Research > 15-7 (July 2022) . - p.1301-1310 Mots-clés : attention deficit disorder  autism spectrum disorder  child development  cohort studies  diagnosis  functional status  health equity Index. décimale : PER Périodiques Résumé : Functional abilities in children with autism spectrum disorder (ASD) are highly heterogenous, and impairments can overlap with non-ASD neurodevelopmental disorders. We compared the profiles of children assessed for ASD with and without an ASD diagnosis using a retrospective cohort study of 101,739 children born in British Columbia (2000-2008). The children were grouped into the following five comparison groups: (1) ASD- (n = 1131), (2) ASD+ (n = 1583), (3) Ministry of Education designated ASD+ (n = 654), (4) special need other than ASD (n = 11,663), and (5) typically developing (n = 86,708). Five developmental domains were assessed using the Early Development Instrument. ANCOVA was used to control for covariates, Tukey's HSD test for multiple comparisons, and Cohen's d for effect size. The ASD- group had slightly higher scores than the ASD+ group with small to medium effect sizes in all domains (d = 0.20-0.48). The ASD- group had slightly higher scores than the Ministry of Education ASD+ group in only three domains with small effect sizes (d = 0.21-0.25). The ASD- group had lower scores in all domains compared to the typically developing group with large effect sizes in all domains (d = 1.12-1.77). The ASD- group received less education funding at school entry than both ASD+ groups. Overall, only small to medium differences in development were detected between the ASD- and ASD+ groups. While these children differ diagnostically, they share similar functional profiles and have substantially more difficulties than typically developing children. Therefore, differences in levels of support at school entry raise critical questions of equity. LAY SUMMARY: Comparison of children in British Columbia who have been referred for an autism assessment, with or without a diagnosis, shows similarities in their functional and developmental profiles in kindergarten. Furthermore, both groups of children have more difficulties than typically developing children. However, children who have been referred for assessment without an autism diagnosis receive less financial support at school entry, raising important questions on equity. En ligne : http://dx.doi.org/10.1002/aur.2742 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

Identification of Pediatric Autism Spectrum Disorder Cases Using Health Administrative Data / Celeste D. BICKFORD in Autism Research, 13-3 (March 2020)  

Public ISBD [article]  inAutism Research > 13-3 (March 2020) . - p.456-463 Titre : Identification of Pediatric Autism Spectrum Disorder Cases Using Health Administrative Data Type de document : texte imprimé Auteurs : Celeste D. BICKFORD, Auteur ; Tim F. OBERLANDER, Auteur ; Nancy E. LANPHEAR, Auteur ; Whitney M. WEIKUM, Auteur ; Patricia A. JANSSEN, Auteur ; Hélène OUELLETTE-KUNTZ, Auteur ; Gillian E. HANLEY, Auteur Article en page(s) : p.456-463 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  diagnostic accuracy  health administrative data  validation Index. décimale : PER Périodiques Résumé : Administrative data are frequently used to identify Autism Spectrum Disorder (ASD) cases in epidemiological studies. However, validation studies on this mode of case ascertainment have lacked access to high-quality clinical diagnostic data and have not followed published reporting guidelines. We report on the diagnostic accuracy of using readily available health administrative data for pediatric ASD case ascertainment. The validation cohort included almost all the ASD-positive children born in British Columbia, Canada from April 1, 2000 to December 31, 2009 and consisted of 8,670 children in total. 4,079 ASD-positive and 2,787 ASD-negative children were identified using Autism Diagnostic Observation Schedule (ADOS) and Autism Diagnostic Interview-Revised (ADI-R) assessments done through the British Columbia Autism Assessment Network (BCAAN). An additional 1,804 ADOS/ADI-R assessed ASD-positive children were identified using Ministry of Education records. This prospectively collected clinical data (the diagnostic gold standard) was then linked to each child's physician billing and hospital discharge data. The diagnostic accuracy of 11 algorithms that used the administrative data to assign ASD case status was assessed. For all algorithms, high positive predictive values (PPVs) were observed alongside low values for other measures of diagnostic accuracy illustrating that PPVs alone are not an adequate measure of diagnostic accuracy. We show that British Columbia's health administrative data cannot reliably be used to discriminate between children with ASD and children with other developmental disorders. Utilizing these data may result in misclassification bias. Methodologically sound, region-specific validation studies are needed to support the use of administrative data for ASD case ascertainment. Autism Res 2020, 13: 456-463. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Health administrative data are frequently used to identify Autism Spectrum Disorder (ASD) cases for research purposes. However, previous validation studies on this sort of case identification have lacked access to high-quality clinical diagnostic data and have not followed published reporting guidelines. We show that British Columbia's health administrative data cannot reliably be used to discriminate between children with ASD and children with other developmental disorders. En ligne : http://dx.doi.org/10.1002/aur.2252 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=421 [article] Identification of Pediatric Autism Spectrum Disorder Cases Using Health Administrative Data [texte imprimé] / Celeste D. BICKFORD, Auteur ; Tim F. OBERLANDER, Auteur ; Nancy E. LANPHEAR, Auteur ; Whitney M. WEIKUM, Auteur ; Patricia A. JANSSEN, Auteur ; Hélène OUELLETTE-KUNTZ, Auteur ; Gillian E. HANLEY, Auteur . - p.456-463. Langues : Anglais (eng) in Autism Research > 13-3 (March 2020) . - p.456-463 Mots-clés : Autism spectrum disorder  diagnostic accuracy  health administrative data  validation Index. décimale : PER Périodiques Résumé : Administrative data are frequently used to identify Autism Spectrum Disorder (ASD) cases in epidemiological studies. However, validation studies on this mode of case ascertainment have lacked access to high-quality clinical diagnostic data and have not followed published reporting guidelines. We report on the diagnostic accuracy of using readily available health administrative data for pediatric ASD case ascertainment. The validation cohort included almost all the ASD-positive children born in British Columbia, Canada from April 1, 2000 to December 31, 2009 and consisted of 8,670 children in total. 4,079 ASD-positive and 2,787 ASD-negative children were identified using Autism Diagnostic Observation Schedule (ADOS) and Autism Diagnostic Interview-Revised (ADI-R) assessments done through the British Columbia Autism Assessment Network (BCAAN). An additional 1,804 ADOS/ADI-R assessed ASD-positive children were identified using Ministry of Education records. This prospectively collected clinical data (the diagnostic gold standard) was then linked to each child's physician billing and hospital discharge data. The diagnostic accuracy of 11 algorithms that used the administrative data to assign ASD case status was assessed. For all algorithms, high positive predictive values (PPVs) were observed alongside low values for other measures of diagnostic accuracy illustrating that PPVs alone are not an adequate measure of diagnostic accuracy. We show that British Columbia's health administrative data cannot reliably be used to discriminate between children with ASD and children with other developmental disorders. Utilizing these data may result in misclassification bias. Methodologically sound, region-specific validation studies are needed to support the use of administrative data for ASD case ascertainment. Autism Res 2020, 13: 456-463. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Health administrative data are frequently used to identify Autism Spectrum Disorder (ASD) cases for research purposes. However, previous validation studies on this sort of case identification have lacked access to high-quality clinical diagnostic data and have not followed published reporting guidelines. We show that British Columbia's health administrative data cannot reliably be used to discriminate between children with ASD and children with other developmental disorders. En ligne : http://dx.doi.org/10.1002/aur.2252 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=421

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