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Published on: April 19, 2024
Racial and Ethnic Differences in Ondansetron Use for Acute Gastroenteritis in Children
Tavis Dickerson-Young, Neil G Uspal, William B Prince
1Biostatistics Epidemiology and Analytics in Research (BEAR), Seattle Children's Research Institute, Seattle, WA.
Objectives:
There is limited research examining racial/ethnic disparities in antiemetic use for acute gastroenteritis (AGE). We assessed racial/ethnic differences in the care of children with AGE.
Methods:
The Pediatric Health Information System was used to conduct a retrospective cohort study of children 6 months to 6 years old with AGE seen in participating emergency departments from 2016 to 2018. Cases were identified using International Classification of Diseases, Tenth Revision codes. The primary outcome was administration of ondansetron, secondary outcomes were administration of intravenous (IV) fluids and hospitalization, and primary predictor was race/ethnicity. Multivariable logistic regression followed by a mixed model adjusted for sex, age, insurance, and hospital to examine the association of race/ethnicity with each outcome.
Results:
There were 78,019 encounters included; 24.8% of patients were non-Hispanic White (NHW), 29.0% non-Hispanic Black (NHB), 37.3% Hispanic, and 8.9% other non-Hispanic (NH) race/ethnicity. Compared with NHW patients, minority children were more likely to receive ondansetron (NHB: adjusted odds ratio, 1.36 [95% confidence interval, 1.2-1.55]; Hispanic: 1.26 [1.1-1.44]; other NH: 1.22 [1.07-1.4]). However, minority children were less likely to receive IV fluids (NHB: 0.38 [0.33-0.43]; Hispanic: 0.44 [0.36-0.53]; other NH: 0.51 [0.44-0.61]) or hospital admission (NHB: 0.37 [0.29-0.48]; Hispanic: 0.41 [0.33-0.5]; other NH: 0.52 [0.41-0.66]). Ondansetron use by hospital ranged from 73% to 95%.
Conclusions:
This large database analysis of emergency departments around the nation found that NHW patients were less likely to receive ondansetron but more likely to receive IV fluids and hospital admission than minority patients. These findings are likely multifactorial and may represent bias, social determinants of health, access to care, or illness severity among other possible causes.
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