The 130th Annual Meeting of APHA

3175.0: Monday, November 11, 2002 - Board 10

Abstract #44022

Predicting mortality in ADAP: A logistic regression approach

Dennis T. Wong1, Raphael C. Hess1, and Wes Patterson2. (1) California Department of Health Services, Office of AIDS, 611 N. 7th St., Sacramento, CA 95814, 916-327-3184, dwong2@dhs.ca.gov, (2) California Department of Consumer Affairs, Bureau of Automotive Repairs, 10240 Systems Parkway, Sacramento, CA 95827

Background: The AIDS Drug Assistance Program (ADAP) provides prescription drugs to HIV-infected individuals who could not otherwise afford them. Drug combos known as highly active antiretroviral therapy (HAART) may slow the progression from HIV to AIDS and allow clients to have longer, healthier lives. ADAP monitors drug expenditures and limited client information. By integrating ADAP with other data sources containing HIV/AIDS-related data, we can better understand the role ADAP plays in its clients’ quality of life. We attempted to identify variables that predicted mortality in ADAP clients. Such findings would be useful for targeting outreach and education programs.

Methodology: We matched ADAP data with California hospital discharge files and state death certificates. Our predictors included client demographics, prescription drug use, viral load, and insurance coverage group (100% ADAP, Medi-Cal, and/or private insurance), hospital admissions, and length of hospital stay.

Results: The results of our study will be available in March. Based on preliminary analyses, we expect: 1) Demographic variables such as race/ethnicity and age will be significant predictors of death among ADAP clients; 2) Other factors involved include “preferred” drug treatments as defined by medical guidelines) and insurance coverage group.

Learning Objectives:

Keywords: HIV/AIDS, Mortality

Presenting author's disclosure statement:
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.

Evaluating HIV Prevention and Care Programs

The 130th Annual Meeting of APHA