定性研究圣弗朗西斯科湾区年轻跨性别女性中 respondent-driven sampling (RDS) 同伴推荐挑战
A Qualitative Examination of Respondent-Driven Sampling (RDS) Peer Referral Challenges Among Young Transwomen in the San Francisco Bay Area.
机构信息
Center for Public HealthPopulation Health DivisionSan Francisco Department of Public HealthSan Francisco, CAUnited States.
Medical SociologyDepartment of Social and Behavioral SciencesUniversity of California San FranciscoSan Francisco, CAUnited States.
出版信息
JMIR Public Health Surveill. 2015 Aug 25;1(2):e9. doi: 10.2196/publichealth.4573. eCollection 2015 Jul-Dec.
BACKGROUND
Efforts have focused on developing innovative recruitment strategies to engage the most marginalized of populations in public health research. Respondent-driven sampling (RDS) has been found to be an effective sampling strategy for hard-to-reach, hidden populations. Though studies have documented RDS peer referral as challenging, literature contextualizing these challenges is scant and rarely do they discuss the role of Internet technologies.
OBJECTIVE
The objective of the study was to explore reasons for peer referral challenges in a human immunodeficiency virus (HIV) risk and resilience study among a hidden population of youth, specifically, young transwomen. These findings amplify the unique opportunities Internet technologies bring to public health research and methodology.
METHODS
We conducted focused, semistructured, qualitative interviews with 16 young transwomen to investigate the reasons why youth did or did not refer peers to an RDS study for transwomen ages 16-24 in the San Francisco Bay Area. Qualitative interview data were coded and analyzed using grounded theory.
RESULTS
Participants discussed specific barriers and facilitators related to four factors that include study design, study implementation, community characteristics, and individual characteristics, which contributed to RDS peer referral challenges.
CONCLUSIONS
Our grounded theory analysis identifies important considerations for future RDS studies with hidden youth populations. Exploring research participants' experiences is integral in strengthening future epidemiologic research efforts that plan to use RDS to sample and estimate the hidden epidemics among at-risk youth and transgender women. Additionally, Internet technologies and Web-based adaptations offer solutions to traditional RDS peer referral challenges, having the potential to increase accessibility and use among hidden youth populations.
背景
人们一直致力于开发创新的招募策略，以吸引最边缘化的人群参与公共卫生研究。受访者驱动抽样（RDS）已被证明是一种针对难以接触到的隐藏人群的有效抽样策略。尽管有研究记录了 RDS 同伴推荐具有挑战性，但关于这些挑战的文献很少，而且很少讨论互联网技术的作用。
目的
本研究的目的是探讨在一项针对隐藏人群（即年轻跨性别女性）的艾滋病毒（HIV）风险和恢复力研究中，同伴推荐面临挑战的原因。这些发现放大了互联网技术为公共卫生研究和方法带来的独特机会。
方法
我们对 16 名年轻跨性别女性进行了重点、半结构化的定性访谈，以调查他们为何推荐或不推荐同伴参加在旧金山湾区开展的年龄在 16-24 岁的跨性别女性的 RDS 研究。使用扎根理论对定性访谈数据进行编码和分析。
结果
参与者讨论了与四个因素相关的具体障碍和促进因素，这四个因素包括研究设计、研究实施、社区特征和个体特征，这些因素促成了 RDS 同伴推荐的挑战。
结论
我们的扎根理论分析确定了未来针对隐藏青年人群进行 RDS 研究的重要考虑因素。探索研究参与者的经验对于加强未来计划使用 RDS 对高危青年和跨性别女性中的隐藏疫情进行抽样和估计的流行病学研究工作至关重要。此外，互联网技术和基于网络的适应措施为传统的 RDS 同伴推荐挑战提供了解决方案，有可能增加隐藏青年人群的可及性和使用率。
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