Dankaerts W, O'Sullivan P B, Straker L M, Burnett A F, Skouen J S
School of Physiotherapy, Curtin University, Bentley 6102, WA, Australia.
Man Ther. 2006 Feb;11(1):28-39. doi: 10.1016/j.math.2005.02.001. Epub 2005 Jun 3.
The importance of classifying chronic low back pain (LBP) patients into homogeneous sub-groups has recently been emphasized. This paper reports on two studies examining clinicians ability to agree independently on patients' chronic LBP classification, using a novel classification system (CS) proposed by O'Sullivan. In the first study, a sub-group of 35 patients with non-specific chronic LBP were independently classified by two 'expert' clinicians. Almost perfect agreement (kappa-coefficient 0.96; %-of-agreement 97%) was demonstrated. In the second study, 13 clinicians from Australia and Norway were given 25 cases (patients' subjective information and videotaped functional tests) to classify. Kappa-coefficients (mean 0.61, range 0.47-0.80) and %-of-agreement (mean 70%, range 60-84%) indicated substantial reliability. Increased familiarity with the CS improved reliability. These studies demonstrate the reliability of this multi-dimensional mechanism-based CS and provide essential evidence in a multi-step validation process. A fully validated CS will have significant research and clinical application.
近期,将慢性下腰痛(LBP)患者分类为同质子组的重要性已得到强调。本文报告了两项研究,这些研究使用奥沙利文提出的一种新型分类系统(CS),检验临床医生对患者慢性LBP分类进行独立判断的能力。在第一项研究中,两名“专家”临床医生对35例非特异性慢性LBP患者的一个子组进行了独立分类。结果显示几乎完全一致(卡帕系数0.96;一致率97%)。在第二项研究中,来自澳大利亚和挪威的13名临床医生对25例病例(患者的主观信息和功能测试录像)进行分类。卡帕系数(均值0.61,范围0.47 - 0.80)和一致率(均值70%,范围60 - 84%)表明具有较高的可靠性。对该分类系统的熟悉程度提高会增强可靠性。这些研究证明了这种基于多维度机制的分类系统的可靠性,并在多步骤验证过程中提供了重要证据。一个经过充分验证的分类系统将具有重大的研究和临床应用价值。