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Pulling together: interagency coordination and HIV/STD prevention.

James C Thomas1, Craig Carter, Elizabeth Torrone

  • 1Department of Epidemiology, Campus Box 7435, University of North Carolina, Chapel Hill, NC 27599, USA. jim.thomas@unc.edu

Journal of Public Health Management and Practice : JPHMP
|December 20, 2007
PubMed
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Sexually transmitted disease (STD) prevention is more effective when HIV agencies collaborate broadly. Conversely, concentrated interactions with a few central agencies correlate with higher STD rates and disparities.

Area of Science:

  • Public Health
  • Social Network Analysis
  • Epidemiology

Background:

  • Sexually transmitted disease (STD) rates and racial disparities persist in the United States.
  • Understanding the structural factors influencing STD prevention effectiveness is crucial.

Purpose of the Study:

  • To investigate the association between network characteristics of HIV prevention agencies and STD rates.
  • To determine if network structures influence black-white STD rate differences.

Main Methods:

  • Cross-sectional analysis of 10 North Carolina counties.
  • Network analysis using data from face-to-face interviews to calculate density and degree centralization.
  • Statistical assessment of associations between network measures and STD rates using exact Wilcoxon rank sum test.

Related Experiment Videos

Main Results:

  • Higher network density (broad information/client exchange) was associated with lower syphilis rates (P = .01) and attenuated black-white syphilis rate differences.
  • High degree centralization (few central hubs) was linked to higher syphilis rates and larger black-white syphilis rate differences.
  • Gonorrhea rates showed similar, though less pronounced, associations with network characteristics.

Conclusions:

  • Collaborative networks (high density) enhance STD prevention effectiveness.
  • Centralized networks (high degree centralization) are associated with reduced STD prevention effectiveness and increased racial disparities.
  • Network exchange measures can inform future assessments of prevention program service delivery.