Influence of race and gender on care process, resource use, and hospital-based outcomes in congestive heart failure.
Race and gender are important determinants of certain clinical outcomes in cardiovascular disease. To examine the influence of race and gender on care process, resource use, and hospital-based case outcomes for patients with congestive heart failure (CHF), we obtained administrative records on all 1995 New York State hospital discharges assigned ICD-9-CM codes indicative of this diagnosis. The following were compared among black and white women and men: demographics, comorbid illness, care processes, length of stay (LOS), hospital charges, mortality rate, and CHF readmission rate. We identified 45,894 patients (black women, 4,750; black men, 3,370; white women, 21,165; white men, 16,609). Blacks underwent noninvasive cardiac procedures more often than whites; procedure and specialty use rates were lower among women than among men. After adjusting for other patient characteristics and hospital type and location, we found race to be an important determinant of LOS (black, 10.4 days; white, 9.3 days; p = 0.0001), hospital charges (black, $13,711; white, $11,074; p = 0.0001), mortality (black-to-white odds ratio = 0.832; p = 0.003), and readmission (black-to-white odds ratio = 1.301; p = 0.0001). Gender was an important determinant of LOS (women, 9.8 days; men, 9.2 days; p = 0.0001), hospital charges (women, $11,690; men, $11,348; p = 0.02), and mortality (women-to-men odds ratio = 0.878; p = 0.0008). We conclude that race and gender influence care process and hospital-based case outcomes for patients with CHF.
Philbin
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Heart Failure and Heart Transplantation Program, Cardiovascular Medicine Division, Henry Ford Hospital, Detroit, MI 48202, USA.
DiSalvo
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D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D000368:Aged; D005260:Female; D006295:Health Resources / Q000706:statistics & numerical data*; D006333:Heart Failure / Q000208:ethnology* / Q000401:mortality*; D017722:Hospital Charges; D017052:Hospital Mortality; D006761:Hospitals / Q000592:standards / Q000706:statistics & numerical data*; D006784:Hospitals, Teaching / Q000706:statistics & numerical data; D006786:Hospitals, Urban / Q000706:statistics & numerical data; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D009518:New York / Q000453:epidemiology; D016017:Odds Ratio; D010043:Outcome and Process Assessment, Health Care / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D017678:Sex Distribution; D016896:Treatment Outcome; D044465:White People / Q000706:statistics & numerical data*