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Satellite exchange in the Baltimore Needle Exchange Program.

Authors: T W, Valente; R K, Foreman; B, Junge; D, Vlahov;

Satellite exchange in the Baltimore Needle Exchange Program.

Abstract

Our first objective was to develop an index of satellite exchange and then determine whether satellite exchangers (SEs) differed demographically or behaviorally from other injecting drug users (IDUs). Our second objective was to determine the degree that SEs contributed to needle exchange program (NEP) effectiveness.We collected data from approximately 5000 Baltimore Needle Exchange Program (BNEP) participants on the number of syringes acquired and returned over the two-year period February 1995 to February 1997. We then conducted one-way ANOVAs and logistic regressions to determine if SEs were different from other IDUs.We classified 9.35% of the IDUs and SEs and showed that SEs reported levels of drug use and risk behavior similar to other BNEP participants. Although SEs represented less than 10% of all BNEP clients, they accounted for more than 64% of all needles distributed by the BNEP. We showed that SEs accessed more wide-ranging drug use networks than non-SE IDUs and thus can act as potential bridges for human immunodeficiency virus (HIV) prevention materials and messages to larger numbers of drug injectors.SEs can be expressly targeted with specific prevention messages and encouraged to be "ambassadors" for HIV prevention messages. Efforts to curtail the activities of SEs may detract from the effectiveness of NEPs.

Related Organizations
Keywords

Adult, Male, Analysis of Variance, Substance-Related Disorders, Syringes, HIV Infections, Community Networks, Needle-Exchange Programs, Logistic Models, Risk-Taking, Baltimore, Preventive Health Services, Odds Ratio, Humans, Female

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Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Average
Top 10%
Top 10%
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