Laboratório de Informações em Saúde, Instituto de Comunicação e Informação, Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
Cad Saude Publica. 2011;27 Suppl 1:S45-55. doi: 10.1590/s0102-311x2011001300006.
Female sex workers are known in Brazil and elsewhere in the world as one of the most-at-risk populations for risk of HIV infection, due to their social vulnerability and factors related to their work. However, the use of conventional sampling strategies in studies on most-at-risk subgroups for HIV is generally problematic, since such subgroups are small in size and are associated with stigmatized behaviors and/or illegal activities. In 1997, a probabilistic sampling technique was proposed for hard-to-reach populations, called Respondent-Driven Sampling (RDS). The method is considered a variant of chain sampling and allows the statistical estimation of target variables. This article describes some assumptions of RDS and all the implementation stages in a study of 2,523 female sex workers in 10 Brazilian cities. RDS proved appropriate for recruiting sex workers, allowing the selection of a probabilistic sample and the collection of previously missing information on this group in Brazil.
在巴西和世界其他地方，性工作者由于其社会弱势地位以及与工作相关的因素，被认为是感染艾滋病毒风险最高的人群之一。然而，在针对艾滋病毒高危亚群的研究中，使用传统的抽样策略通常存在问题，因为这些亚群规模较小，且与污名化行为和/或非法活动有关。1997 年，提出了一种针对难以接触人群的概率抽样技术，称为应答者驱动抽样（RDS）。该方法被认为是链式抽样的一种变体，可以对目标变量进行统计估计。本文描述了 RDS 的一些假设以及在巴西 10 个城市的 2523 名性工作者研究中的所有实施阶段。RDS 被证明适用于招募性工作者，允许选择概率样本，并收集巴西该群体以前缺失的信息。
