Differences in HIV-related hospitalization among white, black, and Hispanic men and women of Florida.
Patients hospitalized for Human immunodeficiency virus (HIV) disease among the multi-ethnic population of Florida have been incompletely characterized to date. The objectives of the present study were to determine the race/ethnic (whites, blacks, Hispanics) differences in characteristics of patients by gender and the correlates of HIV-related mortality among them. A retrospective analysis of 9,113 discharge records (January to December 2001) with primary diagnosis of HIV disease was performed. Characteristics of patients in six sex-race/ethnic groups were compared using the X2 tests and multiple regression models. A multiple logistic regression modeling was used to evaluate the odds of HIV-related death associated with these characteristics. Approximately 64%, 23%, and 13% of records were for blacks, whites, and Hispanics, respectively. The adjusted length of stay (LOS) and hospital charges significantly differed only between black men and women. The insurance status, LOS, and age were significant correlates of HIV-related deaths. The potential causes of disparities between sex-ethnic groups of patients should be further explored.
Hlaing
WayWay M
WM
Department of Epidemiology and Biostatistics, Robert R. Stempel School of Public Health, Florida International University, 11200 SW 8th Street, Miami, FL 33199, USA. hlaingw@fio.edu
McCoy
H Virginia
HV
D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D000368:Aged; D005260:Female; D005431:Florida / Q000453:epidemiology; D015658:HIV Infections / Q000208:ethnology* / Q000401:mortality*; D006630:Hispanic or Latino / Q000706:statistics & numerical data*; D006801:Humans; D007297:Inpatients / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D010043:Outcome and Process Assessment, Health Care; D010351:Patient Discharge / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012189:Retrospective Studies; D012959:Socioeconomic Factors; D016019:Survival Analysis; D044465:White People / Q000706:statistics & numerical data*