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Détail de l'auteur
Auteur Natasha R. SAUNDERS |
Documents disponibles écrits par cet auteur (3)
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Assessing the validity of administrative health data for the identification of children and youth with autism spectrum disorder in Ontario / Jennifer D. BROOKS in Autism Research, 14-5 (May 2021)
[article]
Titre : Assessing the validity of administrative health data for the identification of children and youth with autism spectrum disorder in Ontario Type de document : Texte imprimé et/ou numérique Auteurs : Jennifer D. BROOKS, Auteur ; Jasleen ARNEJA, Auteur ; Longdi FU, Auteur ; Farah E. SAXENA, Auteur ; Karen TU, Auteur ; Virgiliu Bogdan PINZARU, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Kirk NYLEN, Auteur ; Natasha R. SAUNDERS, Auteur ; Hong LU, Auteur ; John MCLAUGHLIN, Auteur ; Susan E. BRONSKILL, Auteur Article en page(s) : p.1037-1045 Langues : Anglais (eng) Mots-clés : Ontario administrative health data algorithm autism Index. décimale : PER Périodiques Résumé : Population-level identification of children and youth with ASD is essential for surveillance and planning for required services. The objective of this study was to develop and validate an algorithm for the identification of children and youth with ASD using administrative health data. In this retrospective validation study, we linked an electronic medical record (EMR)-based reference standard, consisting 10,000 individuals aged 1-24?years, including 112 confirmed ASD cases to Ontario administrative health data, for the testing of multiple case-finding algorithms. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and corresponding 95% confidence intervals (CI) were calculated for each algorithm. The optimal algorithm was validated in three external cohorts representing family practice, education, and specialized clinical settings. The optimal algorithm included an ASD diagnostic code for a single hospital discharge or emergency department visit or outpatient surgery, or three ASD physician billing codes in 3?years. This algorithm's sensitivity was 50.0% (95%CI 40.7-88.7%), specificity 99.6% (99.4-99.7), PPV 56.6% (46.8-66.3), and NPV 99.4% (99.3-99.6). The results of this study illustrate limitations and need for cautious interpretation when using administrative health data alone for the identification of children and youth with ASD. LAY SUMMARY: We tested algorithms (set of rules) to identify young people with ASD using routinely collected administrative health data. Even the best algorithm misses more than half of those in Ontario with ASD. To understand this better, we tested how well the algorithm worked in different settings (family practice, education, and specialized clinics). The identification of individuals with ASD at a population level is essential for planning for support services and the allocation of resources. Autism Res 2021, 14: 1037-1045. © 2021 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2491 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=444
in Autism Research > 14-5 (May 2021) . - p.1037-1045[article] Assessing the validity of administrative health data for the identification of children and youth with autism spectrum disorder in Ontario [Texte imprimé et/ou numérique] / Jennifer D. BROOKS, Auteur ; Jasleen ARNEJA, Auteur ; Longdi FU, Auteur ; Farah E. SAXENA, Auteur ; Karen TU, Auteur ; Virgiliu Bogdan PINZARU, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Kirk NYLEN, Auteur ; Natasha R. SAUNDERS, Auteur ; Hong LU, Auteur ; John MCLAUGHLIN, Auteur ; Susan E. BRONSKILL, Auteur . - p.1037-1045.
Langues : Anglais (eng)
in Autism Research > 14-5 (May 2021) . - p.1037-1045
Mots-clés : Ontario administrative health data algorithm autism Index. décimale : PER Périodiques Résumé : Population-level identification of children and youth with ASD is essential for surveillance and planning for required services. The objective of this study was to develop and validate an algorithm for the identification of children and youth with ASD using administrative health data. In this retrospective validation study, we linked an electronic medical record (EMR)-based reference standard, consisting 10,000 individuals aged 1-24?years, including 112 confirmed ASD cases to Ontario administrative health data, for the testing of multiple case-finding algorithms. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and corresponding 95% confidence intervals (CI) were calculated for each algorithm. The optimal algorithm was validated in three external cohorts representing family practice, education, and specialized clinical settings. The optimal algorithm included an ASD diagnostic code for a single hospital discharge or emergency department visit or outpatient surgery, or three ASD physician billing codes in 3?years. This algorithm's sensitivity was 50.0% (95%CI 40.7-88.7%), specificity 99.6% (99.4-99.7), PPV 56.6% (46.8-66.3), and NPV 99.4% (99.3-99.6). The results of this study illustrate limitations and need for cautious interpretation when using administrative health data alone for the identification of children and youth with ASD. LAY SUMMARY: We tested algorithms (set of rules) to identify young people with ASD using routinely collected administrative health data. Even the best algorithm misses more than half of those in Ontario with ASD. To understand this better, we tested how well the algorithm worked in different settings (family practice, education, and specialized clinics). The identification of individuals with ASD at a population level is essential for planning for support services and the allocation of resources. Autism Res 2021, 14: 1037-1045. © 2021 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2491 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=444 Development of human blood-CSF-brain barrier / Natasha R. SAUNDERS in Developmental Medicine & Child Neurology, 28-2 (April 1986)
[article]
Titre : Development of human blood-CSF-brain barrier Type de document : Texte imprimé et/ou numérique Auteurs : Natasha R. SAUNDERS, Auteur ; Matteo ADINOLFI, Auteur Année de publication : 1986 Article en page(s) : p.261-263 Langues : Anglais (eng) Index. décimale : PER Périodiques Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=613
in Developmental Medicine & Child Neurology > 28-2 (April 1986) . - p.261-263[article] Development of human blood-CSF-brain barrier [Texte imprimé et/ou numérique] / Natasha R. SAUNDERS, Auteur ; Matteo ADINOLFI, Auteur . - 1986 . - p.261-263.
Langues : Anglais (eng)
in Developmental Medicine & Child Neurology > 28-2 (April 1986) . - p.261-263
Index. décimale : PER Périodiques Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=613 Primary Care Provider and Child Characteristics Associated with Age of Diagnosis of Autism Spectrum Disorder: A Population-Based Cohort Study / Ayesha SIDDIQUA in Journal of Autism and Developmental Disorders, 52-7 (July 2022)
[article]
Titre : Primary Care Provider and Child Characteristics Associated with Age of Diagnosis of Autism Spectrum Disorder: A Population-Based Cohort Study Type de document : Texte imprimé et/ou numérique Auteurs : Ayesha SIDDIQUA, Auteur ; Magdalena JANUS, Auteur ; Ronit MESTERMAN, Auteur ; Eric DUKU, Auteur ; Kathy GEORGIADES, Auteur ; Farah SAXENA, Auteur ; Haoyu ZHAO, Auteur ; Natasha R. SAUNDERS, Auteur Article en page(s) : p.2896-2910 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis/epidemiology Child Cohort Studies Family Humans Ontario/epidemiology Primary Health Care Autism spectrum disorder Developmental disabilities Diagnosis Early development instrument Kindergarten Paediatricians Primary care Index. décimale : PER Périodiques Résumé : In a cohort of kindergarten children in Ontario, Canada with Autism Spectrum Disorder (ASD) (n=1522), we tested the association of age at ASD diagnosis and characteristics of (1) the child's primary care provider and, (2) the child using health administrative databases. We tested the association of primary care practice model and time from developmental delay identification to age at ASD diagnosis. Older age of diagnosis was associated with provider foreign training (vs. domestic) (adjusted Hazard Ratio [aHR] 1.17, 95% CI 1.03, 1.33) but not sex, care model, and years of practice. After developmental delay identification, children with paediatricians had longer time to diagnosis than children with providers in care models (aHR 0.68, 95% CI 0.54, 0.86). Findings can be used to inform primary care provider ASD training. En ligne : http://dx.doi.org/10.1007/s10803-021-05165-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477
in Journal of Autism and Developmental Disorders > 52-7 (July 2022) . - p.2896-2910[article] Primary Care Provider and Child Characteristics Associated with Age of Diagnosis of Autism Spectrum Disorder: A Population-Based Cohort Study [Texte imprimé et/ou numérique] / Ayesha SIDDIQUA, Auteur ; Magdalena JANUS, Auteur ; Ronit MESTERMAN, Auteur ; Eric DUKU, Auteur ; Kathy GEORGIADES, Auteur ; Farah SAXENA, Auteur ; Haoyu ZHAO, Auteur ; Natasha R. SAUNDERS, Auteur . - p.2896-2910.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-7 (July 2022) . - p.2896-2910
Mots-clés : Autism Spectrum Disorder/diagnosis/epidemiology Child Cohort Studies Family Humans Ontario/epidemiology Primary Health Care Autism spectrum disorder Developmental disabilities Diagnosis Early development instrument Kindergarten Paediatricians Primary care Index. décimale : PER Périodiques Résumé : In a cohort of kindergarten children in Ontario, Canada with Autism Spectrum Disorder (ASD) (n=1522), we tested the association of age at ASD diagnosis and characteristics of (1) the child's primary care provider and, (2) the child using health administrative databases. We tested the association of primary care practice model and time from developmental delay identification to age at ASD diagnosis. Older age of diagnosis was associated with provider foreign training (vs. domestic) (adjusted Hazard Ratio [aHR] 1.17, 95% CI 1.03, 1.33) but not sex, care model, and years of practice. After developmental delay identification, children with paediatricians had longer time to diagnosis than children with providers in care models (aHR 0.68, 95% CI 0.54, 0.86). Findings can be used to inform primary care provider ASD training. En ligne : http://dx.doi.org/10.1007/s10803-021-05165-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477