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Estimating Site Performance (ESP): can trial managers predict recruitment success at trial sites? An exploratory study

机译:估算网站性能(ESP):审判管理人员可以预测试用地点的招聘成功吗?探索性研究

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Multicentre randomised trials provide some of the key evidence underpinning healthcare practice around the world. They are also hard work and generally expensive. Some of this work and expense are devoted to sites that fail to recruit as many participants as expected. Methods to identify sites that will recruit to target would be helpful. We asked trial managers at the Centre for Healthcare Randomised Trials (CHaRT), University of Aberdeen to predict whether a site would recruit to target. Predictions were made after a site initiation visit and were collected on a form comprising a simple 'Yes/No' prediction and a reason for the prediction. We did not provide guidance as to what trial managers might want to think about when making predictions. After a minimum of eight months of recruitment at each site for which a prediction had been made, all trial mangers in CHaRT were invited to a group discussion where predictions were presented together with sites' actual recruitment performance over that period. Individual trial managers reflected on their predictions and there was a general discussion about predicting site recruitment. The prediction reasons from the forms and the content of the group discussion were used to identify features linked to correct predictions of recruitment failure. Ten trial managers made predictions for 56 site visits recruiting to eight trials. Trial managers' sensitivity was 82% and their specificity was 32%, correctly identifying 65% of sites that would hit their recruitment target and 54% of those that did not. Eight 'red flags' for recruitment failure were identified: previous poor site performance; slow approvals process; strong staff/patient preferences; the site recruitment target; the trial protocol and its implementation at the site; lack of staff engagement; lack of research experience among site staff; and busy site staff. We used these red flags to develop a guided prediction form. Trial managers' unguided recruitment predictions were not bad but were not good enough for decision-making. We have developed a modified prediction form that includes eight flags to consider before making a prediction. We encourage anyone interested in contributing to its evaluation to contact us.
机译:Multicentre随机试验提供了一些关键的证据,巩固了世界各地的医疗保健实践。它们也是艰苦的工作和一般昂贵。这项工作和费用致力于未能按预期招募许多参与者的网站。识别将招聘目标的网站的方法会有所帮助。我们在医疗保健随机试验(图表),阿伯丁大学的审判管理人员要求预测网站是否会招募目标。在网站启动访问之后进行预测,并在包含简单“是/否”预测的形式上收集以及预测的原因。我们没有为试验管理人员可能希望在做出预测时思考的指导。经过最少八个月的招聘,在每个站点进行了预测的每个站点,邀请了图表中的所有试验管理人员参加了一个小组讨论,在此期间与网站的实际招聘表现一起举办预测。个人审判经理反映在他们的预测上,并有一般性讨论预测网站招聘。组形式的预测原因和组讨论的内容用于识别与纠正招聘失败的正确预测相关的功能。 10次​​审判管理人员对56个网站访问招募八项试验的预测。审判管理人员的敏感性为82%,其特异性为32%,正确识别65%的网站,这些网站将达到其招聘目标,其中54%没有。识别征收失败的八个“红旗”:以前的网站表现不佳;缓慢批准过程;强大的员工/病人偏好;网站招聘目标;试用协议及其在现场实施;缺乏员工参与;现场员工缺乏研究经验;和繁忙的网站员工。我们使用这些红色标志来开发引导预测表格。审判管理者的无人指导招聘预测并不差,但不足以决策。我们开发了一种修改的预测表格,包括在进行预测之前需要考虑八个标志。我们鼓励有兴趣为其评估提供有兴趣联系我们的人。

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