个性化试验的个性化反馈:为慢性下背痛一系列个性化试验的参与者构建总结报告

Harvard data science review Pub Date : 2022-01-01 Epub Date: 2022-09-08 DOI:10.1162/99608f92.d5b57784
Stefani D'Angelo, Heejoon Ahn, Danielle Miller, Rachel Monane, Mark Butler
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引用次数: 4

摘要

个性化(N-of-1)试验提供了一种以患者为中心的研究方法,可以为患者在选择最佳治疗方案时提供重要的临床信息。使用这种方法的研究人员应该以清晰易懂的方式向患者展示试验结果,以便个性化的研究试验对参与者有用。目前的研究为个性化试验报告提供了参与者反馈的例子,使用了一系列60个随机个性化试验的摘要和多种呈现方式,这些试验检验了按摩和瑜伽与常规护理对慢性下背部疼痛(CLBP)的影响。研究人员生成了参与者总结报告,该报告使用多种数据呈现方式(例如,视觉、书面和听觉)来描述个体参与者的结果,为不同的参与者提供最吸引人的风格。本文讨论了参与者报告的内容以及参与者对个性化总结报告的满意度,这些报告是在研究完成后通过满意度调查获得的。本研究满意度调查结果显示,参与者对个性化总结报告总体满意。研究人员将利用当前研究参与者的反馈来完善个性化的反馈报告,以用于未来的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized Feedback for Personalized Trials: Construction of Summary Reports for Participants in a Series of Personalized Trials for Chronic Lower Back Pain.

Personalized (N-of-1) trials offer a patient-centered research approach that can provide important clinical information for patients when selecting which treatment options best manage their chronic health concern. Researchers utilizing this approach should present trial results to patients in a clear and understandable manner in order for personalized research trials to be useful to participants. The current study provides participant feedback examples for personalized trial reports using lay summaries and multiple presentation styles from a series of 60 randomized personalized trials examining the effects of massage and yoga versus usual care on chronic lower back pain (CLBP). Researchers generated summary participant reports that describe individual participant results using multiple presentation modalities of data (e.g., visual, written, and auditory) to offer the most appealing style for various participants. The article discusses contents of the participant report as well as participant satisfaction with the personalized summary report, captured using a satisfaction survey administered after study completion. The results from the satisfaction survey in the current study show that participants were generally satisfied with their personalized summary report. Researchers will use feedback from the participants in the current study to refine personalized feedback reports for future studies.

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