AIDSImpact.com:: - Santa Fe, USA 2011

Abstract #337 - Using geographic information systems to understand HIV testing patterns and sexual risk behavior among substance-using MSM in South Florida
Authors: Presenting Author: Mr. Mance Buttram - Nova Southeastern University
Additional Authors: Mr. Steven Kurtz, Mr. Minxing Chen,
Aim: To present late-breaking data regarding HIV testing frequency, sexual behavior risk, and drug use among men who have sex with men (MSM) in South Florida (Miami-Dade and Broward Counties) from recently completed baseline interviews.
Method / Issue: Baseline data were collected from participants enrolled in a randomized clinical trial of two risk reduction interventions. Computer-assisted personal interviews included well-tested comprehensive measures of substance use and sexual behavior. Eligible MSM were 18-55 years old and reported unprotected anal intercourse and drug use in the past 90 days (N=497). We mapped HIV risk, testing frequency, and drug use to assist in HIV prevention, testing, and counseling services. Chloropleth maps were used to display the data. Additional data were obtained from the U.S. Census bureau.
Results / Comments: In Miami-Dade County, locations of HIV testing and counseling centers do not correspond to highest levels of HIV transmission risk. In addition, the average amount of time since a participant’s last HIV test was greatest in the zip code with the most HIV testing and counseling centers (M=16.7, SD=23.1). Data for HIV testing sites in Broward County were not available at the time of abstract submission. Zip codes with high concentrations of MSM in Broward County indicate the presence of a gay enclave. A similar result was not observed in Miami-Dade County, where MSM are dispersed over a larger area. Compared to MSM who live elsewhere in South Florida, MSM in the gay enclave have higher odds of methamphetamine use (p=.04), amyl nitrate use (p=.01), and unprotected receptive intercourse (p=.02).
Discussion: Mapping software provides an additional tool in planning HIV testing, counseling and prevention services by allowing health care practitioners to see where services are needed and where to establish them based on location. In addition, it displays characteristics of geographical areas that can assist health care practitioners in targeting specific neighborhood characteristics or risk factors.
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