Functional difficulties in children and youth with autism spectrum disorder: analysis of the 2019 Canadian Health Survey on Children and Youth. / Difficultés fonctionnelles chez les enfants et les jeunes atteints d'un trouble du spectre de l'autisme : une analyse de l'Enquête canadienne sur la santé des enfants et des jeunes de 2019.

INTRODUCTION: This study examined the prevalence of functional difficulties and associated factors in Canadian children/youth aged 5 to 17 years diagnosed with autism spectrum disorder (ASD). METHODS: We analyzed data from the 2019 Canadian Health Survey on Children and Youth (CHSCY), a nationally representative survey of Canadian children/youth that used the Washington Group Short Set on Functioning (WG-SS) to evaluate functioning in six daily tasks. For each functional domain, binary outcomes were derived (no/some difficulty, a lot of difficulty/no ability). We used logistic regression to identify associations between demographic characteristics, educational experiences, and perceived mental and general health and the most common functional difficulties, namely those related to remembering/concentrating, communication and self-care. All estimates were weighted to be representative of the target population. The bootstrap method was used to calculate variance estimates. RESULTS: Analysis of the records of 660 children/youth with ASD revealed that the most common functional difficulties were remembering/concentrating (22%; 95% CI: 18-27), communicating (19%; 95% CI: 15-23) and self-care (13%; 95% CI: 10-17). Lower perceived mental health was associated with increased functional difficulties with remembering/concentrating. ASD diagnosis at a lower age and lower perceived general health were associated with increased functional difficulty with communication. Parental expectations for postsecondary education were associated with decreased functional difficulty for self-care. CONCLUSION: One or more functional difficulties from the WG-SS was present in 39% of Canadian children/youth aged 5 to 17 years with ASD. Functional difficulties with remembering/concentrating, communication and self-care were most common.

Accuracy of administrative database algorithms for autism spectrum disorder, attention-deficit/hyperactivity disorder and fetal alcohol spectrum disorder case ascertainment: a systematic review. / Exactitude des algorithmes des bases de données administratives pour la détermination des cas de trouble du spectre de l'autisme, de trouble du déficit de l'attention/hyperactivité et de trouble du spectre de l'alcoolisation fœtale : revue systématique.

INTRODUCTION: The purpose of this study was to perform a systematic review to assess the validity of administrative database algorithms used to identify cases of autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD) and fetal alcohol spectrum disorder (FASD). METHODS: MEDLINE, Embase, Global Health and PsycInfo were searched for studies that validated algorithms for the identification of ASD, ADHD and FASD in administrative databases published between 1995 and 2021 in English or French. The grey literature and reference lists of included studies were also searched. Two reviewers independently screened the literature, extracted relevant information, conducted reporting quality, risk of bias and applicability assessments, and synthesized the evidence qualitatively. PROSPERO CRD42019146941. RESULTS: Out of 48 articles assessed at full-text level, 14 were included in the review. No studies were found for FASD. Despite potential sources of bias and significant between-study heterogeneity, results suggested that increasing the number of ASD diagnostic codes required from a single data source increased specificity and positive predictive value at the expense of sensitivity. The best-performing algorithms for the identification of ASD were based on a combination of data sources, with physician claims database being the single best source. One study found that education data might improve the identification of ASD (i.e. higher sensitivity) in school-aged children when combined with physician claims data; however, additional studies including cases without ASD are required to fully evaluate the diagnostic accuracy of such algorithms. For ADHD, there was not enough information to assess the impact of number of diagnostic codes or additional data sources on algorithm accuracy. CONCLUSION: There is some evidence to suggest that cases of ASD and ADHD can be identified using administrative data; however, studies that assessed the ability of algorithms to discriminate reliably between cases with and without the condition of interest were lacking. No evidence exists for FASD. Methodologically higher-quality studies are needed to understand the full potential of using administrative data for the identification of these conditions.

FASD prevalence among children and youth: results from the 2019 Canadian Health Survey on Children and Youth. / Prévalence du trouble du spectre de l'alcoolisation fœtale (TSAF) chez les enfants et les adolescents : résultats de l'Enquête canadienne sur la santé des enfants et des jeunes de 2019.

INTRODUCTION: The lack of national fetal alcohol spectrum disorder (FASD) prevalence estimates represents an important knowledge gap. METHODS: Using data from the 2019 Canadian Health Survey on Children and Youth, the prevalence of FASD was examined by age, sex and Indigenous identity. Median age of diagnosis and comorbid long-term health conditions were also assessed. RESULTS: The prevalence of FASD among Canadian children and youth living in private dwellings was 1 per 1000 (0.1%). The prevalence was significantly higher among those who identified as Indigenous and lived off reserve (1.2%). CONCLUSION: These findings are in keeping with FASD prevalence studies that used similar passive surveillance methods. They provide a starting point to better understanding the prevalence and burden of FASD in Canada.