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Disparities in CHD outcomes exist across the lifespan. However, less is known about disparities for patients with CHD admitted to neonatal ICU. We sought to identify sociodemographic disparities in neonatal ICU admissions among neonates born with cyanotic CHD.
Materials & Methods:
Annual natality files from the US National Center for Health Statistics for years 2009–2018 were obtained. For each neonate, we identified sex, birthweight, pre-term birth, presence of cyanotic CHD, and neonatal ICU admission at time of birth, as well as maternal age, race, ethnicity, comorbidities/risk factors, trimester at start of prenatal care, educational attainment, and two measures of socio-economic status (Special Supplemental Nutrition Program for Women, Infants, and Children [WIC] status and insurance type). Multivariable logistic regression models were fit to determine the association of maternal socio-economic status with neonatal ICU admission. A covariate for race/ethnicity was then added to each model to determine if race/ethnicity attenuate the relationship between socio-economic status and neonatal ICU admission.
Results:
Of 22,373 neonates born with cyanotic CHD, 77.2% had a neonatal ICU admission. Receipt of WIC benefits was associated with higher odds of neonatal ICU admission (adjusted odds ratio [aOR] 1.20, 95% CI 1.1–1.29, p < 0.01). Neonates born to non-Hispanic Black mothers had increased odds of neonatal ICU admission (aOR 1.20, 95% CI 1.07–1.35, p < 0.01), whereas neonates born to Hispanic mothers were at lower odds of neonatal ICU admission (aOR 0.84, 95% CI 0.76–0.93, p < 0.01).
Conclusion:
Maternal Black race and low socio-economic status are associated with increased risk of neonatal ICU admission for neonates born with cyanotic CHD. Further work is needed to identify the underlying causes of these disparities.
Many surgical patients spend time in an intensive care unit and on the wards. Medication errors are one of the most frequent causes of preventable harm in ICU and wards, and occur predominately in the dispensing and administration phases. Despite a plethora of publications and studies of medication errors in these locations, significant differences in definitions, study methods, and local workflows lead to remarkable differences in the rates of error reported. Increasing number of medications per patient, nurse to patient ratios, and patient age contribute to medication errors in the ICU. Pediatric ICUs tend to have higher rates of error, and this often is due to mis-calculation of a dilution or a weight based dose. On the wards, administration errors are common, especially when exact timing is expected for a given administration. Prescribing errors are often the result of lack of knowledge, whether related to diagnosis or medication; administration errors are more frequently skill based errors such as slips or lapses.
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