Suppr超能文献

疼痛的测量

Measurement of pain.

作者信息

Katz J, Melzack R

机构信息

Department of Psychology, Toronto Hospital, Ontario, Canada.

出版信息

Surg Clin North Am. 1999 Apr;79(2):231-52. doi: 10.1016/s0039-6109(05)70381-9.

Abstract

Pain is a personal, subjective experience influenced by cultural learning, the meaning of the situation, attention, and other psychologic variables. Approaches to the measurement of pain include verbal and numeric self-rating scales, behavioral observation scales, and physiologic responses. The complex nature of the experience of pain suggests that measurements from these domains may not always show high concordance. Because pain is subjective, patients' self-reports provide the most valid measure of the experience. The VAS and the MPQ are probably the most frequently used self-rating instruments for the measurement of pain in clinical and research settings. The MPQ is designed to assess the multidimensional nature of pain experience and has been demonstrated to be a reliable, valid, and consistent measurement tool. A short-form MPQ is available for use in specific research settings when the time to obtain information from patients is limited and when more information than simply the intensity of pain is desired. The DDS was developed using sophisticated psychophysical techniques and was designed to measure separately the sensory and unpleasantness dimensions of pain. It has been shown to be a valid and reliable measurement of pain with ratio-scaling properties and has recently been used in a clinical setting. Behavioral approaches to the measurement of pain also provide valuable data. Further development and refinement of pain measurement techniques will lead to increasingly accurate tools with greater predictive powers.

摘要

疼痛是一种受文化学习、情境意义、注意力及其他心理变量影响的个人主观体验。疼痛测量方法包括言语和数字自评量表、行为观察量表以及生理反应。疼痛体验的复杂性表明,来自这些领域的测量结果可能并不总是高度一致。由于疼痛是主观的,患者的自我报告提供了对疼痛体验最有效的测量。视觉模拟评分法(VAS)和麦吉尔疼痛问卷(MPQ)可能是临床和研究环境中测量疼痛最常用的自评工具。MPQ旨在评估疼痛体验的多维度性质,并且已被证明是一种可靠、有效且一致的测量工具。当从患者获取信息的时间有限且需要的信息不仅仅是疼痛强度时,可使用简版MPQ用于特定研究环境。疼痛数字评定量表(DDS)是使用复杂的心理物理学技术开发的,旨在分别测量疼痛的感觉维度和不愉快维度。它已被证明是一种具有比率缩放特性的有效且可靠的疼痛测量方法,最近已应用于临床环境。疼痛测量的行为方法也提供了有价值的数据。疼痛测量技术的进一步发展和完善将产生越来越准确且具有更大预测能力的工具。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验