Insurance Disparities in Patient Outcomes and Healthcare Resource Utilization Following Neonatal Intraventricular Hemorrhage

医学 脑室出血 医疗保健 重症监护医学 急诊医学 医疗急救 胎龄 怀孕 遗传学 经济 生物 经济增长
作者
Sumaiya Sayeed,Brianna Carusillo Theriault,Astrid C. Hengartner,Nasimul Ahsan,Sina Sadeghzadeh,Emad Elsamadicy,Michael L. DiLuna,Aladine A. Elsamadicy
出处
期刊:World Neurosurgery [Elsevier BV]
标识
DOI:10.1016/j.wneu.2024.05.136
摘要

Within the field of pediatric neurosurgery, insurance status has been shown to be associated with surgical delay, longer time to referral, and longer hospitalization in epilepsy treatment, myelomeningocele repair, and spasticity surgery.1,2 The aim of this study was to investigate the association of insurance status with inpatient adverse events, length of stay, and costs for newborns diagnosed with intraventricular hemorrhage (IVH). A retrospective cohort study was performed using the 2016-2019 National Inpatient Sample database. Patients with a primary diagnosis of IVH were identified using ICD-10-CM diagnostic and procedural codes. Patients were categorized based on insurance status: Medicaid or Private Insurance (PI). Multivariate logistic regression analyses were used to identify the impact of insurance status on extended LOS (defined as >75th percentile of LOS) and exorbitant cost (defined as >75th percentile of cost). Demographics differed significantly between groups, with the majority of newborns in the PI cohort being White (Medicaid: 35.8% vs PI: 60.3%, p<0.001) and the majority of Medicaid patients being in the 0-25th quartile of household income (Medicaid: 40.9% vs PI: 12.9%, p<0.001). While insurance status was not independently associated with increased odds of extended LOS or exorbitant cost, Medicaid patients had a greater mean LOS and total cost of admission than PI patients. Demographic characteristics, mean LOS, and mean total cost differed significantly between Medicaid and PI patients, indicating potential disparities based on insurance status. However, insurance status was not independently associated with increased healthcare utilization, necessitating further research in this area of study.
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