Abstract

Globally, HIV prevention interventions have proven efficacious among street-based female sex workers (FSWs); yet, there is a dearth of US-based HIV prevention research among this group. The lack of research among FSWs in the USA is partially driven by challenges in recruiting members of this population. The purpose of this research is to describe how targeted sampling was employed to recruit a cohort of street-based FSWs for a study that examined the role of police in shaping the HIV risk environments of street-based FSWs in Baltimore, MD. Our research demonstrates that targeted sampling can be an advantageous strategy for recruiting hidden populations that are mobile and geographically dispersed.

Highlights

  • Female sex workers (FSWs) experience high rates of HIV and STI infections [1,2,3]

  • HIV prevention interventions have proven efficacious among FSWs [13,14,15,16,17]; yet, there is a dearth of US-based HIV prevention research among this group

  • While the development of our targeted sampling (TS) frame parallels those methods used in time location sampling (TLS), they are distinct in that we focused our recruitment efforts in those locations with highest concentrations of sex work activity rather than a random selection of the Buniverse^ of areas of sex work activity

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Summary

Introduction

Female sex workers (FSWs) experience high rates of HIV and STI infections [1,2,3]. Street-based FSWs are at heightened risk for HIVacquisition given their engaging in sex work in the context of extremely unsafe work environments [8,9,10,11,12]. The lack of research among FSWs in the USA is partially driven by challenges in recruiting members of this population. The illegality and associated stigma of sex work in the USA may drive FSWs to be reluctant to engage in research and discuss the contexts of their sex work. Existing HIV studies have primarily employed two methods for recruiting Bhidden^ high-risk populations, targeted sampling (TS) and, more recently, respondent-driven sampling (RDS) [18,19,20]

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