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Cross-System Evaluation of Clinical Trial Search Engines

机译:临床试验搜索引擎的跨系统评估

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摘要

Clinical trials are fundamental to the advancement of medicine but constantly face recruitment difficulties. Various clinical trial search engines have been designed to help health consumers identify trials for which they may be eligible. Unfortunately, knowledge of the usefulness and usability of their designs remains scarce. In this study, we used mixed methods, including time-motion analysis, think-aloud protocol, and survey, to evaluate five popular clinical trial search engines with 11 users. Differences in user preferences and time spent on each system were observed and correlated with user characteristics. In general, searching for applicable trials using these systems is a cognitively demanding task. Our results show that user perceptions of these systems are multifactorial. The survey indicated eTACTS being the generally preferred system, but this finding did not persist among all mixed methods. This study confirms the value of mixed-methods for a comprehensive system evaluation. Future system designers must be aware that different users groups expect different functionalities.
机译:临床试验是医学进步的基础,但不断面临招募困难。已经设计了各种临床试验搜索引擎来帮助健康消费者确定他们可能有资格的试验。不幸的是,对其设计的有用性和可用性的了解仍然很少。在这项研究中,我们使用了混合方法,包括时间运动分析,思考方式协议和调查,以评估五个具有11个用户的流行临床试验搜索引擎。观察到用户偏好和在每个系统上花费的时间的差异,并将其与用户特征相关联。通常,使用这些系统寻找适用的试验是一项认知上的艰巨任务。我们的结果表明,用户对这些系统的看法是多因素的。调查表明,eTACTS是普遍首选的系统,但是这一发现并没有在所有混合方法中持续存在。这项研究证实了混合方法对于全面系统评估的价值。未来的系统设计人员必须意识到,不同的用户组期望使用不同的功能。

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