4.1 Article

Race, Ethnicity, and Other Sociodemographic Characteristics of Patients with Hospital Admission for Migraine in the United States

期刊

JOURNAL OF THE NATIONAL MEDICAL ASSOCIATION
卷 113, 期 6, 页码 671-679

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NATL MED ASSOC
DOI: 10.1016/j.jnma.2021.07.004

关键词

Migraine; Income; Race; Disparity; Ethnicity

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This study investigated the impact of race and income on patients with migraine admitted to the hospital. The results showed that African American, Hispanic, and Native American patients were more likely to have lower household income, while Caucasian patients had higher income. However, race and income did not affect the length of hospital stay.
Background: Despite the growing awareness across the general population, migraine is often underdiagnosed and undertreated in socially and economically marginalized groups. The present study aimed to investigate the differential effects of race and income on other sociodemographic data and hospital length of stay in patients admitted to hospital with a primary diagnosis of migraine headache. Methods: We utilized the Nationwide Inpatient Sample (NIS) database to identify patients admitted from 2004 to 2017 with a primary diagnosis of migraine. Information on demographic and length of stay data was obtained. Only patients older than 18 years were selected and age outliers were excluded. Race groups were identified as Caucasian, African American, Hispanic, Asian or Pacific Islander, Native American, or Others. Income was identified as the estimated median household income of residents in the patient's ZIP Code. Results: A total of 106,761,737 valid cases were identified. After applying our case inclusion criteria, only 61453 (median age = 42 years, range = 18-78 years) were included. Patients identified as African American, Hispanic or Native American were more likely to have lower household income (p < 0.001), whereas higher income was found for the patients identified as Caucasian, even when men and women were considered separately (p < 0.001). No effects of race and/or household income was found on the length of stay in hospital.

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