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Prevalence and Healthcare Consumption of ASD Patients Using French Medico-administrative Data
Autism Spectrum Disorder (ASD) is one of the neurodevelopmental disorders described in the DSM5 (American Psychiatric Association, 2013). This heterogeneous syndrome appears in childhood and persists throughout life with different developments from one individual to another. It is clinically characterized by the combination of deficits in social communication with restricted and repetitive behaviors. The prevalence of ASD has seen a significant increase over the last 10 years, with estimates varying greatly from one country to another, ranging from 4.2/1,000 in France to 31/1,000 in Iceland. In France, prevalence has been estimated by two child disability registers set up in the departments of Haute-Garonne (RHE31), Isère, Savoie, and Haute-Savoie (RHEOP), but there is no epidemiological surveillance system to estimate the national prevalence of ASD in the general population. However, the production of reliable epidemiological data at the national and territorial levels is essential for addressing the needs of individuals with ASD and for evaluating public policies. The main objective of our project is to estimate the annual prevalence of ASD in children, adolescents, and young adults at the national and regional levels using medico-administrative databases (SNDS), to study its evolution over the period 2010-2019 and its geographical distribution in relation to socio-demographic indicators and healthcare accessibility. Our secondary objectives are to validate an algorithm for detecting ASD in the National Health Data System (SNDS) and to estimate the direct medical costs associated with ASD management. The SNDS databases contain all medical care and treatments reimbursed for Health Insurance beneficiaries provided in the private or public sector. A case detection algorithm will be tested and validated on validation samples. Then, the prevalence of ASD will be estimated, taking into account geographical, socio-economic, and healthcare accessibility indicators, in o
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