Radboud Institute for Health Sciences, Department for Health Evidence, Radboud University Medical Center, P.O. Box 9101 6500 HB, Nijmegen, The Netherlands; Radboud REshape Innovation Center, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
Radboud Institute for Health Sciences, Department for Health Evidence, Radboud University Medical Center, P.O. Box 9101 6500 HB, Nijmegen, The Netherlands.
J Clin Epidemiol. 2018 Jul;99:1-13. doi: 10.1016/j.jclinepi.2018.02.019. Epub 2018 Mar 5.
To evaluate response-inducing strategies for observational studies using health-related questionnaires or interviews.
We searched PubMed, EMBASE, CINAHL, PsycINFO, and Web of Science up to December 28, 2017. Studies evaluating the effect of a response-inducing strategy on participation rates of observational studies were included. For each strategy, we estimated pooled response ratios with 95% confidence intervals (CIs) in a Hartung-Knapp/Sidik-Jonkman random effects model with the final participation rate as outcome, stratified for type of participants and method of data collection.
The search yielded 168 eligible studies involving 367,616 potential participants and 33 strategies. Among patients, response-inducing strategies for paper-based questionnaires included unconditional monetary incentives (response ratio 1.15; 95% CI 1.09-1.21) and shorter questionnaires (1.04; 1.02-1.06). Among nonpatients, a personalized mode of delivery (1.47; 1.24-1.74), more expensive mailing type (1.25; 1.00-1.56), unconditional monetary incentives (1.24; 1.12-1.38), prenotification (1.12; 1.03-1.22), unconditional scratch lottery tickets (1.09; 1.01-1.18), and shorter questionnaires (1.06; 1.02-1.11) increased response rates to paper-based questionnaires. For Web-based questionnaires and interviews among nonpatients, response rates were increased by conditional lottery tickets (1.17; 1.02-1.34) and conditional monetary incentives (1.39; 1.01-1.91), respectively.
Although the majority of strategies evaluated were unsuccessful, some may increase response rates to observational studies, particularly among nonpatients.
评估使用健康相关问卷或访谈进行观察性研究的应答诱导策略。
我们检索了 PubMed、EMBASE、CINAHL、PsycINFO 和 Web of Science,截至 2017 年 12 月 28 日。纳入评估应答诱导策略对观察性研究参与率影响的研究。对于每种策略,我们使用 Hartung-Knapp/Sidik-Jonkman 随机效应模型,以最终参与率为结局,根据参与者类型和数据收集方法对每个策略进行分层,估计汇总应答比及其 95%置信区间(CI)。
搜索结果共纳入 168 项符合条件的研究,涉及 367616 名潜在参与者和 33 种策略。在患者中,纸质问卷的应答诱导策略包括无条件货币激励(应答比 1.15;95%CI 1.09-1.21)和缩短问卷(1.04;1.02-1.06)。在非患者中,个性化传递方式(1.47;1.24-1.74)、更昂贵的邮寄类型(1.25;1.00-1.56)、无条件货币激励(1.24;1.12-1.38)、预先通知(1.12;1.03-1.22)、无条件刮刮乐(1.09;1.01-1.18)和缩短问卷(1.06;1.02-1.11)均能提高纸质问卷的应答率。对于非患者的网络问卷和访谈,条件性刮刮乐(1.17;1.02-1.34)和条件性货币激励(1.39;1.01-1.91)分别提高了应答率。
尽管评估的大多数策略都不成功,但有些策略可能会提高观察性研究的应答率,尤其是在非患者中。