An Informatics Analysis to Identify Sex Disparities and Healthcare Needs for Autism across the United States.

Autor:	Stockham NT; Stanford University, Stanford, California., Paskov KM; Stanford University, Stanford, California.; These authors contributed equally., Tabatabaei K; Stanford University, Stanford, California.; McMaster University, Hamilton, Canada., Sutaria S; Stanford University, Stanford, California., Liu B; Stanford University, Stanford, California., Kent J; Stanford University, Stanford, California., Wall DP; Stanford University, Stanford, California.
Jazyk:	angličtina
Zdroj:	AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2022 May 23; Vol. 2022, pp. 456-465. Date of Electronic Publication: 2022 May 23 (Print Publication: 2022).
Abstrakt:	Autism is among the most common neurodevelopmental conditions. Timely diagnosis and access to therapeutic resources are essential for positive prognoses, yet long queues and unevenly dispersed resources leave many untreated. Without granular estimates of autism prevalence by geographic area, it is difficult to identify unmet needs and mechanisms to address them. Mining a dataset of 53M children using meaningful geographic regions, we computed autism prevalence across the country. We then performed comparative analysis against 50,000 resources to identify the type and extent of gaps in access to autism services. We find a steady increase in autism diagnoses from K-5, supporting delayed diagnosis of autism, and consistent under-diagnosis of females. We find a significant inverse relationship between prevalence and availability of resources (p < 0.001). While more work is needed to characterize additional trends including racial and ethnicity-based disparities, the identification of resource gaps can direct and prioritize new innovations. (©2022 AMIA - All rights reserved.)
Databáze:	MEDLINE
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