使用德尔菲法对上肢淋巴水肿的核心数据集达成共识:创建临床支持系统的基础步骤。

Robyn Sierla, Elizabeth Dylke, Simon Poon, Tim Shaw, Sharon Kilbreath
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摘要

背景:淋巴水肿是一种由淋巴系统受损引起的局部肿胀。积聚在间质组织中的富含蛋白质的液体会引起炎症,并对皮肤和下层组织造成不可逆转的变化。已经使用了一系列方法来评估和报告这些变化。在临床和文献中,对于评估的领域、选择的结果和结果测量、遵循的测量方案、分析方法和用于报告变化的描述符,异质性是明显的。目的:本研究寻求对上肢淋巴水肿核心数据集所需项目的共识,以实现上肢淋巴水肿的数字化监测和报告。方法:结果的广度和常用的描述符捕获在先前的研究中由本研究组。通过两轮在线修正德尔菲研究,将该列表按频率进行细化,并向该领域的专家(n = 70)提出建议。这些参与者对数据集中每个项目的重要性进行评级,并确定他们认为在第一轮中缺失的结果或描述符。在第二轮中,参与者对提出的任何新结果或描述符以及对数字数据显示方式的偏好进行评分。结果:核心数据集在第2轮完成时得到确认。随着时间的推移,更倾向于用图表显示肢间差异百分比和肢体积;对观察到的和触诊到的变化的描述从42个缩小到20个。结论:该数据集为建立上肢淋巴水肿的临床支持系统提供了基础。
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Attaining consensus on a core dataset for upper limb lymphoedema using the Delphi method: A foundational step in creating a clinical support system.

Background: Lymphoedema is a condition of localised swelling caused by a compromised lymphatic system. The protein-rich fluid accumulating in the interstitial tissue can create inflammation and irreversible changes to the skin and underlying tissue. An array of methods has been used to assess and report these changes. Heterogeneity is evident in the clinic and in the literature for the domains assessed, outcomes and outcome measures selected, measurement protocols followed, methods of analysis, and descriptors used to report change. Objective: This study seeks consensus on the required items for inclusion in a core data set for upper limb lymphoedema to digitise the monitoring and reporting of upper limb lymphoedema. Methods: The breadth of outcomes and descriptors in common use were captured in prior studies by this research group. This list was refined by frequency and proposed to experts in the field (n = 70) through a two-round online modified Delphi study. These participants rated the importance of each item for inclusion in the dataset and identified outcomes or descriptors they felt were missing in Round 1. In Round 2, participants rated any new outcomes or descriptors proposed and preference for how numeric data is displayed. Results: The core dataset was confirmed on completion of Round 2. Interlimb difference as a percentage, and limb volume were preferred for graphed display over time; and descriptors for observed and palpated change narrowed from 42 to 20. Conclusion: This dataset provides the foundation to create a clinical support system for upper limb lymphoedema.

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