Selected article for: "access infection and logistic regression"

Author: Karpur, A.; Vasudevan, V.; Shih, A. J.; Frazier, T. W.
Title: Impact of COVID-19 in Individuals with Autism Spectrum Disorders: Analysis of a National Private Claims Insurance Database
  • Cord-id: hxuh627i
  • Document date: 2021_4_5
  • ID: hxuh627i
    Snippet: The COVID-19 pandemic continues to have a detrimental impact on individuals with disabilities. Data from FAIR Health FH NPIC (National Private Insurance Claims) database, one of the largest national databases of private insurance claim records, were analyzed to understand the experiences of individuals with ASD in COVID-19 pandemic. Multivariate logistic regression models revealed that individuals with ASD + ID were nine times more likely to be hospitalized (OR = 9.3; 95% CI: 6.9, 12.5) and were
    Document: The COVID-19 pandemic continues to have a detrimental impact on individuals with disabilities. Data from FAIR Health FH NPIC (National Private Insurance Claims) database, one of the largest national databases of private insurance claim records, were analyzed to understand the experiences of individuals with ASD in COVID-19 pandemic. Multivariate logistic regression models revealed that individuals with ASD + ID were nine times more likely to be hospitalized (OR = 9.3; 95% CI: 6.9, 12.5) and were nearly six times more likely have an elevated length of hospital stay(OR = 5.9; 95% CI: 3.5, 10.1) compared those without ASD + ID. These findings point to their need for prioritization in access to vaccines for preventing COVID-19 infection and morbidities.

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