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Optimal data entry by patients: effects of interface structure and design.

机译:患者最佳数据进入:界面结构与设计的影响。

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Direct electronic acquisition of data from patients possesses accuracy and diagnostic value. The mechanics of how best to capture historical information from patients using electronic interfaces are not well studied. We undertook an iterative usability experiment to answer 2 questions: 1) How can maximal electronic data input from a patient be achieved, and 2) Do varying structures for data entry promote differential documentation of specified data elements? METHODS: A series of four trials comprised the testing cycle. Unstructured text entry, directed text entry, and closed ended questions were tested in combination against outcomes of word count, time to task completion, and user preferences. Covariates of interest included participants' technologic experience and ergonomic experience with keyboards, as well as self-report of educational status, literacy, and primary language. RESULTS: Participants clearly preferred the order of initial closed-ended questions followed by unstructured text entry, and this ordering was not associated with decrements in word count or increase in time. When compared to unstructured text entry, directed text entry provided higher documentation of data for past medical history and questions which parents wished to discuss with the clinician. A closed-end question structure, when compared to directed text entry, provided higher capture of parents' questions for discussion. CONCLUSIONS: Optimal design of an electronic interview for the capture of medical histories will benefit from a mixed structure of directed text entry and closed-ended questions. For historical or clinically relevant items where maximal capture of data is desired, a structure with closed-ended questions would be preferred.
机译:直接电子获取来自患者的数据具有准确性和诊断价值。研究了如何最好地捕获使用电子界面患者历史信息的机制。我们进行了迭代可用性实验来回答2个问题:1)如何实现患者的最大电子数据,而2)为数据输入的不同结构促进指定数据元素的差异文档吗?方法:一系列四项试验包括测试周期。非结构化文本输入,定向文本条目和封闭的最终问题在于单词数量的结果,任务完成的时间和用户偏好进行测试。感兴趣的协变量包括参与者的技术经验和与键盘的人体工程学经验,以及教育状况,识字和初级语言的自我报告。结果:参与者明确首选初始封闭式问题的顺序,后跟非结构化文本条目,此订单与单词数量的递减无关或随时间的增加。与非结构化文本条目相比,指导文本输入提供了更高的数据文件,以便过去的病史和父母希望与临床医生讨论的问题。与指向文本输入相比,封闭式问题结构提供了更高的父母讨论问题的捕获。结论:电子访谈捕获的电子面试的最佳设计将受益于指示文本条目和封闭式问题的混合结构。对于历史或临床相关的项目,其中需要最大捕获数据,是具有封闭式问题的结构是优选的。

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