Center for Research to, Advance Community Health (ReACH), Department of Medicine, Long School of Medicine, University of Texas Health Science Center at San Antonio (UTHSCSA), 7703 Floyd Curl Drive, San Antonio, TX, USA.
Department of Psychology, University of Denver, Denver, CO, USA.
J Immigr Minor Health. 2022 Feb;24(1):102-110. doi: 10.1007/s10903-020-01112-4. Epub 2020 Nov 2.
This paper assessed the effectiveness of Respondent Driven Sampling (RDS) in recruiting undocumented Latinx immigrants for a prevalence health study at a time of heightened immigration enforcement. RDS was used to collect and analyze data from clinical interviews with 254 undocumented Latinx immigrant adults, enabling inference to a population of 22,000. 45% of the sample reported having a chronic medical condition. The desired sample size was achieved and exceeded with three initial recruits and 10 waves of recruitment across 9 weeks. There was substantial cross-group mixing for recruitment in terms of sex and recency of immigration, which facilitated the emergence of diversity within recruitment chains. Primary factors that contributed to effective recruitment were location, flexibility, on-site childcare, and detailed explanation of the recruitment process. RDS is an effective recruitment method to study the health of undocumented Latinx immigrants, which is essential to informing intervention and policy.
本文评估了响应驱动抽样（RDS）在移民执法力度加大时期招募无证拉丁裔移民进行流行性病学研究的效果。该研究采用 RDS 方法收集和分析了 254 名无证拉丁裔成年移民的临床访谈数据，可推断出 22000 人的总体情况。45%的样本报告患有慢性疾病。通过最初的 3 名招募者和 9 周内 10 轮招募，实现并超过了所需的样本量。在招募过程中，性别和最近移民时间方面的跨群体混合程度很高，这有助于在招募链中出现多样性。有助于有效招募的主要因素是位置、灵活性、现场儿童保育以及对招募过程的详细解释。RDS 是一种研究无证拉丁裔移民健康状况的有效招募方法，对于为干预和政策提供信息至关重要。
