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运用德尔菲技术改善 TMD 分类。

Improving TMD classification using the Delphi technique.

机构信息

Department of Diagnostic & Biological Sciences, School of Dentistry, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

出版信息

J Oral Rehabil. 2010 Oct;37(10):766-70. doi: 10.1111/j.1365-2842.2010.02109.x. Epub 2010 May 24.

Abstract

The classification of temporomandibular disorders (TMD) is still controversial. Consensus methods such as the Delphi technique, a method that polls experts' anonymous opinion in an iterative process with controlled feedback and statistical aggregation of group response, could be valuable to improve this challenging topic. The article illustrates the application of the Delphi technique for deciding whether the terms myalgia or myofascial pain should be used in a TMD classification system and discusses the technique's potential for TMD classification in general. In three Delphi rounds, 14 TMD experts from the Division of TMD and Orofacial Pain of the University of Minnesota reached a consensus about which TMD diagnoses should be included in a TMD classification system. They preferred the term myofascial pain over myalgia. The Delphi technique has the potential to provide answers to complex questions in TMD classification, e.g., TMD nomenclature and range as well as scope of conditions included in a future TMD classification system.

摘要

颞下颌关节紊乱病(TMD)的分类仍存在争议。共识方法,如 Delphi 技术,这是一种在迭代过程中对专家匿名意见进行投票,并通过受控反馈和群体反应的统计汇总来改进这一具有挑战性的主题的方法,可能具有价值。本文阐述了 Delphi 技术在决定 TMD 分类系统中是否应使用肌痛或肌筋膜疼痛这两个术语的应用,并讨论了该技术在 TMD 分类中的一般潜力。在三轮 Delphi 研究中,明尼苏达大学 TMD 和口面疼痛科的 14 名 TMD 专家就 TMD 分类系统中应包括哪些 TMD 诊断达成了共识。他们更喜欢使用肌筋膜疼痛这个术语,而不是肌痛。Delphi 技术有可能为 TMD 分类中的复杂问题提供答案,例如 TMD 命名法和范围以及未来 TMD 分类系统中包含的条件范围。

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