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Differences in testing for drugs of abuse amongst racial and ethnic groups at children's hospitals
Adriana Herrera1, Matt Hall2, Marshall Alex Ahearn1
1Department of Pediatrics, School of Medicine, Division of Pediatric Hospital Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Insights
Black children were more likely to be drug tested in US children's hospitals than White children, particularly when hospitalized. These findings highlight potential healthcare disparities in pediatric drug testing.
Area of Science:
- Pediatric Health Services Research
- Health Disparities
- Clinical Toxicology
Background:
- Racial and ethnic disparities in drug testing are documented in adults and newborns.
- Limited data exists on drug testing patterns for children and adolescents in healthcare settings.
Purpose of the Study:
- To investigate the association between race/ethnicity and drug testing rates in children and adolescents in US children's hospitals.
- To test the hypothesis that non-Hispanic White children are tested less frequently than other racial/ethnic groups.
Main Methods:
- Retrospective cohort study of over 920,000 pediatric encounters (emergency department-only and hospitalizations) across 41 children's hospitals from 2018-2021.
- Analysis compared drug testing rates among Asian, Black, Hispanic, and White children for conditions where testing may be indicated.
- Rates were examined overall, by specific condition, patient cohort (ED-only vs. hospitalized), and across hospitals.
Main Results:
- Overall, 13.6% of encounters involved drug testing.
- Black children had significantly higher drug testing rates compared to White children (adjusted odds ratio [aOR]: 1.18).
- This disparity was more pronounced in hospitalized children (aOR: 1.42) but not significant in emergency department-only encounters (aOR: 1.07). Asian and Hispanic children had similar testing rates to White children.
Conclusions:
- Hospitalized Black children are more likely to undergo drug testing than White children in US children's hospitals.
- Testing rates varied significantly by diagnosis and by hospital, indicating complex underlying factors.
- Findings underscore the need to examine implicit bias and structural racism contributing to healthcare disparities in pediatric drug testing.
Objectives:
Racial and ethnic differences in drug testing have been described among adults and newborns. Less is known regarding testing patterns among children and adolescents. We sought to describe the association between race and ethnicity and drug testing at US children's hospitals. We hypothesized that non-Hispanic White children undergo drug testing less often than children from other groups.
Methods:
We conducted a retrospective cohort study of emergency department (ED)-only encounters and hospitalizations for children diagnosed with a condition for which drug testing may be indicated (abuse or neglect, burns, malnutrition, head injury, vomiting, altered mental status or syncope, psychiatric, self-harm, and seizure) at 41 children's hospitals participating in the Pediatric Health Information System during 2018 and 2021. We compared drug testing rates among (non-Hispanic) Asian, (non-Hispanic) Black, Hispanic, and (non-Hispanic) White children overall, by condition and patient cohort (ED-only vs. hospitalized) and across hospitals.
Results:
Among 920,755 encounters, 13.6% underwent drug testing. Black children were tested at significantly higher rates overall (adjusted odds ratio [aOR]: 1.18; 1.05-1.33) than White children. Black-White testing differences were observed in the hospitalized cohort (aOR: 1.42; 1.18-1.69) but not among ED-only encounters (aOR: 1.07; 0.92-1.26). Asian, Hispanic, and White children underwent testing at similar rates. Testing varied by diagnosis and across hospitals.
Conclusions:
Hospitalized Black children were more likely than White children to undergo drug testing at US children's hospitals, though this varied by diagnosis and hospital. Our results support efforts to better understand and address healthcare disparities, including the contributions of implicit bias and structural racism.
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