Nicholas Michael K, Asghari Ali, Blyth Fiona M
Pain Management Research Institute, University of Sydney at Royal North Shore Hospital, Sydney, Australia.
Pain. 2008 Jan;134(1-2):158-73. doi: 10.1016/j.pain.2007.04.007. Epub 2007 May 25.
Although self-reported measures play a central role in the assessment of pain and its treatment, it has long been recognized that interpretation of these measures is severely limited by the absence of normative data. Despite that, relatively few of the measures used in pain clinics or research studies have normative data for reference. Using a pain centre sample (n=6124), this paper describes the development of a normative dataset on a number of commonly used pain-related measures. The measures cover many of the key dimensions in pain assessment, including pain severity/quality, disability (physical functioning), and mood (emotional functioning). Measures of different cognitive and coping constructs are also included. Mean scores are reported for each measure according to age group, gender, pain site, as well as percentiles for different scores for patients with chronic low back pain. The potential uses for datasets of this type include the assessment and evaluation of individual cases, as well as the interpretation of published clinical trials. It is also argued that future systematic reviews of pain treatments should include consideration of such patient characteristics as pain levels, disability and mood in the studies reviewed rather than pain site and chronicity alone.
尽管自我报告的测量方法在疼痛评估及其治疗中起着核心作用，但长期以来人们认识到，由于缺乏规范数据，这些测量方法的解释受到严重限制。尽管如此，疼痛诊所或研究中使用的测量方法相对较少有可供参考的规范数据。本文利用一个疼痛中心样本（n = 6124），描述了一些常用疼痛相关测量方法的规范数据集的建立。这些测量方法涵盖了疼痛评估中的许多关键维度，包括疼痛严重程度/性质、残疾（身体功能）和情绪（情感功能）。还包括不同认知和应对结构的测量方法。报告了每种测量方法按年龄组、性别、疼痛部位划分的平均得分，以及慢性下腰痛患者不同得分的百分位数。这类数据集的潜在用途包括个体病例的评估和评价，以及已发表临床试验的解读。还有观点认为，未来对疼痛治疗的系统评价应在被评价的研究中考虑患者的疼痛水平、残疾和情绪等特征，而不仅仅是疼痛部位和慢性程度。
