Racial differences in hospital discharge disposition among stroke patients in Maryland

Ebere Onukwugha1, C Daniel Mullins

  • 1University of Maryland, School of Pharmacy, Department of Pharmaceutical Health Services Research, Baltimore, MD 21201, USA. eonukwug@rx.umaryland.edu

Insights

Black patients hospitalized for stroke face worse outcomes, including higher mortality and less desirable discharge dispositions compared to white patients. These disparities persist even after accounting for other health and demographic factors.

Area of Science:

  • Medical research
  • Public health
  • Health disparities

Background:

  • Racial disparities in healthcare outcomes are a significant concern.
  • Stroke is a leading cause of death and disability, with potential for differential impact across racial groups.

Purpose of the Study:

  • To investigate racial differences in discharge disposition among patients hospitalized for stroke.
  • To assess if Black patients experience less favorable outcomes post-stroke hospitalization compared to White patients.

Main Methods:

  • Retrospective analysis of hospital discharge data from Maryland (2000-2003).
  • Inclusion criteria: stroke as primary diagnosis, race identified as Black or White.
  • Statistical analysis using partial proportional odds logit regression to evaluate the influence of race on discharge disposition.

Main Results:

  • Black males had higher odds of less desirable discharge dispositions compared to White males (OR=1.66).
  • Black females had increased odds of death (OR=1.14) and combined mortality or medical facility discharge (OR=1.38) versus White males.
  • Discharge categories were ordered by desirability: home (1), medical facility (2), death (3).

Conclusions:

  • Black patients face elevated mortality risk and less favorable discharge outcomes after stroke hospitalization.
  • Findings align with previous research indicating lower survival rates for Black individuals.
  • Results remain robust after adjusting for demographic and clinical confounding factors.
Abstract