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Racial Disparities in Hospitalization Due to Ambulatory Care Sensitive Conditions Among U.S. Children with Autism.
Zhang, Wanqing; Watson, Linda R; Johnson, Khalilah R.
Afiliação
  • Zhang W; Department of Health Sciences, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. wanqing_zhang@med.unc.edu.
  • Watson LR; Department of Health Sciences, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Johnson KR; Division of Occupational Science and Occupational Therapy, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
J Autism Dev Disord ; 2023 May 04.
Article em En | MEDLINE | ID: mdl-37142910
ABSTRACT

PURPOSE:

This study was to investigate the factors associated with preventable hospitalization due to ambulatory care sensitive conditions (ACSCs) in children with autism.

METHODS:

Using secondary data from the U.S. Nationwide Inpatient Sample (NIS), multivariable regression analyses were conducted to determine the potential effect of race and income level on the likelihood of inpatient stays for ACSCs among autistic children. Pediatric ACSCs included three acute conditions (dehydration, gastroenteritis, and urinary infection) and three chronic conditions (asthma, constipation, and diabetes short-term complications).

RESULTS:

In this analysis, there were 21,733 hospitalizations among children with autism; about 10% were hospitalized due to pediatric ACSCs. Overall, the odds of ACSCs hospitalization were greater among Hispanic and Black autistic children versus White autistic children. Both Hispanic and Black autistic children from the lowest income level had the highest odds to be hospitalized for chronic ACSCs.

CONCLUSION:

Inequities of access to health care among racial/ethnic minorities were most notable for autistic children with chronic ACSC conditions.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article