Introduction: We sought quantify racial disparities in use of analgesia amongst patients seen in Emergency Departments for renal colic.
Methods: We identified all individuals presenting to the Emergency Department with urolithiasis from 2003 to 2015 in the nationally representative Premier Hospital Database. We included patients discharged in ≤1 day and excluded those with chronic pain or renal insufficiency. We assessed the relationship between race/ethnicity and opioid dosage in morphine milligram equivalents (MME), and ketorolac, through multivariable regression models adjusting for patient and hospital characteristics.
Results: The cohort was 266,210 patients, comprised of White (84%), Black (6%) and Hispanic (10%) individuals. Median opioid dosage was 20 MME and 55.5% received ketorolac. Our adjusted model showed Whites had highest median MME (20 mg) with Blacks (-3.3 mg [95% CI: -4.6 mg to -2.1 mg]) and Hispanics (-6.0 mg [95% CI: -6.9 mg to -5.1 mg]) receiving less. Blacks were less likely to receive ketorolac (OR: 0.72, 95% CI: 0.62-0.84) while there was no difference between Whites and Hispanics.
Conclusions: Black and Hispanic patients in American Emergency Departments with acute renal colic receive less opioid medication than White patients; Black patients are also less likely to receive ketorolac.
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http://dx.doi.org/10.1016/j.ajem.2020.01.017 | DOI Listing |
Int J Urol
January 2025
Department of Urology, Dokkyo Medical University Saitama Medical Center, Saitama, Japan.
Background: C-reactive protein (CRP) is a prognostic biomarker for clear cell renal cell carcinoma (ccRCC). However, there may be potential racial heterogeneity in distribution and prognostic impact of CRP level. We investigated potential racial differences in distribution and prognostic impact of preoperative CRP among Asian (AS), African American (AA), and Caucasian (CAUC) patients with non-metastatic ccRCC (nmccRCC).
View Article and Find Full Text PDFSurg Obes Relat Dis
December 2024
Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
JMIR Ment Health
December 2024
Department of Psychiatry, Northwell Health, Zucker Hillside Hospital, Glen Oaks, NY, United States.
Background: Digital health technologies are increasingly being integrated into mental health care. However, the adoption of these technologies can be influenced by patients' digital literacy and attitudes, which may vary based on sociodemographic factors. This variability necessitates a better understanding of patient digital literacy and attitudes to prevent a digital divide, which can worsen existing health care disparities.
View Article and Find Full Text PDFPLoS One
January 2025
Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States of America.
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