Abstract #302032

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JSM 2003 Abstract #302032
Activity Number: 342
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 9:00 AM to 10:50 AM
Sponsor: Section on Health Policy Statistics
Abstract - #302032
Title: An Application of Cox Regression Model to Assess Effect of Funding on Death Rate Among Persons Living With HIV
Author(s): Jim-Yau Wan*+ and James E. Bailey
Companies: University of Tennessee and University of Tennessee
Address: 66 N. Pauline St., Memphis, TN, 38105-5105,
Keywords: Cox regression model ; time-dependent variable ; Ryan White Care Act ; persons living with HIV
Abstract:

Objective: To determine the effect of level of Ryan White Care Act (RWCA) funding on the death rate among persons living with HIV (PLWH) in Tennessee. Methods: This is a retrospective cohort study. Subjects consists of all PLWH identified by the Tennessee Department of Health HIV/AIDS Reporting System database meeting certain inclusion criteria in 1998-2000. The dependent variable was the time to death. The major independent variable was level of RWCA funding, measured as previous calendar quarter outpatient HIV/AIDS Center of Excellence exposure. This variable was time dependent and Cox regression model was used to determine its effect on time to death. Other baseline variables such as age, gender, race, AIDS status, and time since HIV diagnosis were adjusted for. A total of 3,568 subjects were included in the study with 63% HIV and 37% AIDS. There were 192 deaths. RWCA funding was found to be protective (hazards ratio=.29, p< .0001). The study demonstrates that higher level of RWCA funding results in lower death rate among this population of PLWH. This suggests that RWCA investment improves outcomes for this vulnerable population.

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