1 recherche sur le mot-clé '*case identification'

Autism spectrum disorder/Takiw?tanga: An Integrated Data Infrastructure-based approach to autism spectrum disorder research in New Zealand / Nicholas J. BOWDEN in Autism, 24-8 (November 2020)  

Public ISBD [article]  inAutism > 24-8 (November 2020) . - p.2213-2227 Titre : Autism spectrum disorder/Takiw?tanga: An Integrated Data Infrastructure-based approach to autism spectrum disorder research in New Zealand Type de document : Texte imprimé et/ou numérique Auteurs : Nicholas J. BOWDEN, Auteur ; Hiran THABREW, Auteur ; Jesse KOKAUA, Auteur ; Richard AUDAS, Auteur ; Barry MILNE, Auteur ; Kirsten SMILER, Auteur ; Hilary STACE, Auteur ; Barry TAYLOR, Auteur ; Sheree GIBB, Auteur Article en page(s) : p.2213-2227 Langues : Anglais (eng) Mots-clés : *Integrated Data Infrastructure  *autism spectrum disorder  *big data  *case identification  *mental health Index. décimale : PER Périodiques Résumé : New Zealand has few estimates of the prevalence autism spectrum disorder and no national registry or data set to identify and track cases. This hinders the ability to make informed, evidence-based decisions relating to autism spectrum disorder. In this study, we utilised linked health and non-health data to develop a method for identifying cases of autism spectrum disorder among children and young people in New Zealand. In addition, we examined rates of co-occurring mental health, neurodevelopmental and related conditions among this cohort and compared these to the general population. The method identified almost 10,000 children and young people with autism spectrum disorder in New Zealand. Co-occurring mental health or related problems were found in over 68% of this group (nearly seven times higher than the general population), and around half were identified with multiple co-occurring conditions. The most frequently identified conditions were intellectual disability, disruptive behaviours and emotional problems. We have developed a useful method for monitoring service and treatment-related trends, number and types of co-occurring conditions and examining social outcomes among individuals with autism spectrum disorder. While the method may underestimate the prevalence of autism spectrum disorder in New Zealand, it provides a significant step towards establishing a more comprehensive evidence base to inform autism spectrum disorder-related policy. En ligne : http://dx.doi.org/10.1177/1362361320939329 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=431 [article] Autism spectrum disorder/Takiw?tanga: An Integrated Data Infrastructure-based approach to autism spectrum disorder research in New Zealand [Texte imprimé et/ou numérique] / Nicholas J. BOWDEN, Auteur ; Hiran THABREW, Auteur ; Jesse KOKAUA, Auteur ; Richard AUDAS, Auteur ; Barry MILNE, Auteur ; Kirsten SMILER, Auteur ; Hilary STACE, Auteur ; Barry TAYLOR, Auteur ; Sheree GIBB, Auteur . - p.2213-2227. Langues : Anglais (eng) in Autism > 24-8 (November 2020) . - p.2213-2227 Mots-clés : *Integrated Data Infrastructure  *autism spectrum disorder  *big data  *case identification  *mental health Index. décimale : PER Périodiques Résumé : New Zealand has few estimates of the prevalence autism spectrum disorder and no national registry or data set to identify and track cases. This hinders the ability to make informed, evidence-based decisions relating to autism spectrum disorder. In this study, we utilised linked health and non-health data to develop a method for identifying cases of autism spectrum disorder among children and young people in New Zealand. In addition, we examined rates of co-occurring mental health, neurodevelopmental and related conditions among this cohort and compared these to the general population. The method identified almost 10,000 children and young people with autism spectrum disorder in New Zealand. Co-occurring mental health or related problems were found in over 68% of this group (nearly seven times higher than the general population), and around half were identified with multiple co-occurring conditions. The most frequently identified conditions were intellectual disability, disruptive behaviours and emotional problems. We have developed a useful method for monitoring service and treatment-related trends, number and types of co-occurring conditions and examining social outcomes among individuals with autism spectrum disorder. While the method may underestimate the prevalence of autism spectrum disorder in New Zealand, it provides a significant step towards establishing a more comprehensive evidence base to inform autism spectrum disorder-related policy. En ligne : http://dx.doi.org/10.1177/1362361320939329 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=431