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Identifying the Hidden Population: Former Intravenous Drug Users Who Are No Longer in Contact with Services. Ask a Friend

机译:确定隐藏的人口:前不再与服务联系的前静脉注射药物。 问个朋友

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摘要

People who, after a period of drug use, have changed their lifestyle and left substance use behind them are a hidden population within our communities. Lack of contact with drug services may mean that they are not tested for hepatitis C (HCV) infection through service-led initiatives and, therefore, may be exposed to the chronic morbidity and risk of death inherent with a legacy of HCV infection. This study utilized respondent-driven sampling (RDS) in a novel fashion to find those at historical risk of HCV. The social networks of people with a history of drug use were mapped, and individuals not currently in contact with services were invited to come forward for testing by members of their social network. The study used a reference group to inform study methodology and communication methods to reach out to this hidden population. One hundred and nine individuals received dry blood spot tests for HCV, 17.4% were antibody positive. Fifty one individuals met the inclusion criteria for this study. One hundred and twenty three invite-to-test coupons were issued; however, only one wave of recruitment consisting of one participant resulted from this method. Using RDS in historical social networks was not effective in this study and did not reach this hidden population and increase testing for HCV. This study is registered with clinicaltrials.gov (Ref {"type":"clinical-trial","attrs":{"text":"NCT03697135","term_id":"NCT03697135"}}NCT03697135).
机译:经过一段时间的药物使用后,人们改变了他们的生活方式,左侧物质在他们身上的用途是我们社区内的隐藏人口。缺乏与药物服务的接触可能意味着它们没有通过服务主导的举措进行丙型肝炎(HCV)感染,因此可能会暴露于HCV感染遗留的慢性发病率和死亡风险。本研究利用了受访者驱动的抽样(RDS)以一种新的方式来找到历史危险的HCV。旨在绘制吸毒史的人的社交网络,并邀请目前没有与服务联系的个人,以便通过社交网络成员进行测试。该研究用来了解参考组,以告知学习方法和通信方法,达到这种隐藏的人口。一百九个个体接受HCV的干血斑试验,17.4%是抗体阳性。五十一人符合本研究的纳入标准。发布了一百二十三个邀请的优惠券;但是,只有一波招聘,由这种方法组成的一个参与者。在历史社交网络中使用RDS在这项研究中无效并未达到这种隐藏的人口并增加HCV的测试。本研究以ClinicalTrials.gov(Ref {“类型”注册:“临床试验”,“attrs”:{“text”:“nct03697135”,“term_id”:“nct03697135”}} NCT03697135)。

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