首页> 外文期刊>Journal of studies on alcohol and drugs. >Innovative recruitment using online networks: Lessons learned from an online study of alcohol and other drug use utilizing a web-based, Respondent- Driven Sampling (webRDS) strategy
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Innovative recruitment using online networks: Lessons learned from an online study of alcohol and other drug use utilizing a web-based, Respondent- Driven Sampling (webRDS) strategy

机译:使用在线网络进行创新招聘:利用基于网络的响应者驱动抽样(webRDS)策略从酒精和其他毒品使用的在线研究中吸取的教训

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摘要

We used a web version of Respondent- Driven Sampling (webRDS) to recruit a sample of young adults (ages 18-24) and examined whether this strategy would result in alcohol and other drug (AOD) prevalence estimates comparable to national estimates (National Survey on Drug Use and Health [NSDUH]). Method: We recruited 22 initial participants (seeds) via Facebook to complete a web survey examining AOD risk correlates. Sequential, incentivized recruitment continued until our desired sample size was achieved. After correcting for webRDS clustering effects, we contrasted our AOD prevalence estimates (past 30 days) to NSDUH estimates by comparing the 95% confi dence intervals of prevalence estimates. Results: We found comparable AOD prevalence estimates between our sample and NSDUH for the past 30 days for alcohol, marijuana, cocaine, Ecstasy (3,4-methylenedioxymethamphetamine, or MDMA), and hallucinogens. Cigarette use was lower than NSDUH estimates. Conclusions: WebRDS may be a suitable strategy to recruit young adults online. We discuss the unique strengths and challenges that may be encountered by public health researchers using webRDS methods.
机译:我们使用网络版的受访者驱动抽样(webRDS)来收集年轻人(18-24岁)的样本,并研究了该策略是否会导致酒精和其他毒品(AOD)的流行率估算值与全国估算值相当(国家调查关于毒品使用和健康的问题[NSDUH]。方法:我们通过Facebook招募了22名初始参与者(种子),以完成一项检查AOD风险相关性的网络调查。继续进行有序的激励性招聘,直到达到我们期望的样本量为止。校正了webRDS聚类影响后,我们通过比较95%的流行度估计值的置信区间,将AOD流行度估计值(过去30天)与NSDUH估计值进行了对比。结果:在过去的30天中,我们发现样品和NSDUH的酒精,大麻,可卡因,摇头丸(3,4-亚甲基二氧基甲基苯丙胺或MDMA)和致幻剂在AOD流行率方面具有可比性。卷烟的使用低于NSDUH的估计。结论:WebRDS可能是一种合适的在线招募年轻人的策略。我们讨论了使用webRDS方法的公共卫生研究人员可能遇到的独特优势和挑战。

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