A new HIV prevention network approach: sociometric peer change agent selection

Area of Science:

• Public Health
• Social Network Analysis
• Epidemiology

Background:

• The Peer Change Agent (PCA) model is a key HIV prevention framework.
• PCA selection often relies on individual attributes, potentially missing network dynamics.
• Sociometric positioning offers a novel strategy to enhance peer influence.

Purpose of the Study:

• To compare sociometric selection strategies for PCAs with traditional methods.
• To identify effective PCAs for HIV prevention among men who have sex with men in India.
• To assess attributes and risk behaviors of different PCA selection types.

Main Methods:

• Candidate PCAs were selected based on sociometric bridging and centrality scores.
• Attributes and risk behaviors were compared across selection groups and existing peer educators.
• The study focused on an emerging HIV epidemic in Southern India (2011).

Main Results:

• Bridging score PCAs were more likely to be innovators than other groups.
• Sociodemographic attributes and risk behaviors were similar across candidate PCAs.
• Existing peer educators showed higher risk behaviors and network leadership but similar intervention behaviors.

Conclusions:

• Sociometric selection, particularly focusing on bridging, can identify effective innovators for HIV prevention.
• While existing peer educators may be leaders, their higher risk behaviors could limit intervention utility.
• Identifying network bridges is critical for diffusing innovations like pre-exposure prophylaxis in high-risk networks.