Sadasivam Rajani S, Cutrona Sarah L, Volz Erik, Rao Sowmya R, Houston Thomas K
VA eHealth Quality Enhancement Research Initiative, Bedford VAMC, Bedford, Massachusetts, USA.
Stud Health Technol Inform. 2013;192:357-61.
We are testing web-based respondent-driven sampling (RDS) chain referrals to recruit smokers to the Decide2Quit.org (D2Q) web-assisted tobacco intervention.
Using an online survey of smokers, we assessed the potential of recruiting 1200 smokers in 9 months using RDS chain referrals. RDS is a complex sample design, and many factors can influence its success. We conducted simulations to determine the design of optimal RDS chains.
Smokers (n=48) were mostly female (72%) and between ages 30-60 (82%). Estimation of smokers in their network: 1-5 (40%), 6-10 (24%), and 10-20 (22%), with mean number of intimate family (2.2, SD=2.1) and close friend smokers (3.7, SD=3.8). Most smokers (82%) were willing to refer to D2Q and thought their friends (mean=5.0, SD=4.4, range=0-20) would be open to referral. Simulations suggested that with a quota of 3 and 10 seeds, 99.9% of the sample would be achieved in 107 days if the acceptance probability was 0.5. Acceptance probability of 25% would necessitate an increased quota.
Our study suggests that it is possible to recruit smokers using RDS.
我们正在测试基于网络的应答驱动抽样（RDS）链式推荐，以招募吸烟者参与Decide2Quit.org（D2Q）网络辅助烟草干预项目。
通过对吸烟者进行在线调查，我们评估了使用RDS链式推荐在9个月内招募1200名吸烟者的潜力。RDS是一种复杂的抽样设计，许多因素会影响其成功率。我们进行了模拟以确定最佳RDS链的设计。
吸烟者（n = 48）大多为女性（72%），年龄在30至60岁之间（82%）。对其社交网络中吸烟者数量的估计：1 - 5人（40%），6 - 10人（24%），10 - 20人（22%），亲密家庭成员中吸烟者的平均数为2.2人（标准差 = 2.1），密友中吸烟者的平均数为3.7人（标准差 = 3.8）。大多数吸烟者（82%）愿意向D2Q进行推荐，并认为他们的朋友（平均数 = 5.0，标准差 = 4.4，范围 = 0 - 20）会接受推荐。模拟结果表明，如果接受概率为0.5，设定配额为3且有10个种子用户，那么在107天内可完成99.9%的样本招募。接受概率为25%则需要增加配额。
我们的研究表明使用RDS招募吸烟者是可行的。
