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Synthesizing Qualitative Data Sets to Improve the Design of Trials and Complex Health Interventions: A Worked Example

机译：综合定性数据集以改善试验和复杂的健康干预：一个合作的例子

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摘要

Qualitative researchers are increasingly reanalyzing and synthesizing data sets from different studies, and this method has now been used across trials to inform trial methodology and delivery. Despite this work, however, limited guidance exists about how this method should be employed. This article details an example in which interview data collected during three primary care depression trials were brought together to explore trial participants’ study and treatment journeys. It details the process involved and the decisions made. It also presents findings from this synthesis to illustrate how this method can be used to inform the development of future trials and complex interventions, through raising questions about how researchers currently define and design treatment arms and indicating what factors may improve or hinder participants’ engagement with their allocated treatment.
机译：定性研究人员越来越多地重叠和综合来自不同研究的数据集，现在已经使用了这种方法，以通知试验方法和交付。 然而，尽管这项工作，存在关于如何使用这种方法的有限指导。 本文详细介绍了在三次初级保健抑郁症试验期间收集的面试数据的示例，共同探讨了试验参与者的学习和治疗旅程。 它详细介绍了所涉及的过程和决定。 它还提出了这种综合的研究结果，以说明这种方法如何通过提高研究人员目前如何定义和设计治疗武器并表明可能改善或阻碍参与者的参与的问题来了解未来的试验和复杂的干预措施。 他们分配的治疗。

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