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肩关节疼痛分类系统的观察者间信度。

Intertester reliability of a classification system for shoulder pain.

机构信息

CBI Health Group, Toronto, Ontario, Canada.

出版信息

Physiotherapy. 2012 Mar;98(1):40-6. doi: 10.1016/j.physio.2010.12.003. Epub 2011 Mar 29.

DOI:10.1016/j.physio.2010.12.003
PMID:22265384
Abstract

OBJECTIVE

To describe and determine the intertester reliability of a newly developed classification system of shoulder syndrome recognition.

DESIGN

Intertester reliability study.

SETTING

Fourteen primary care physiotherapy clinics.

PARTICIPANTS

Two hundred and fifty-five patients with shoulder pain. Inclusion criterion: presence of shoulder pain aring within the glenohumeral or associated joints and structures.

EXCLUSION CRITERIA

previous shoulder surgery, surgical candidates, recognised malignancy, systemic illness, or concurrent cervical pain and/or radiculopathy.

INTERVENTION

Examiners were 55 physiotherapists who were arranged in pairs; each patient received two independent and blinded assessments, one by each of the paired physiotherapists. This shoulder classification approach contains three main clinical syndromes: Pattern 1 (impingement pain), Pattern 2 (acromioclavicular joint pain) and Pattern 3 (shoulder pain: frozen shoulder, glenohumeral arthritis, massive cuff tear, subscapularis tear, painful laxity, post-traumatic instability, internal derangement).

MAIN OUTCOME MEASURES

Percentage agreement and Cohen's kappa coefficient.

RESULTS

The mean age of patients was 46.6 years (standard deviation 16.3, range 16 to 86), and 57% were male. Physiotherapists agreed on the pattern of shoulder pain for 205 of the 255 shoulders assessed (agreement rate 80%); the kappa coefficient was 0.664 (95% confidence interval 0.622 to 0.706; P<0.001). Of the 205 agreements, Pattern 1 was the most common condition; physiotherapists agreed on this pattern for 139 patients (68%). Both physiotherapists diagnosed Pattern 2 for 20 patients and Pattern 3 for 46 patients.

CONCLUSION

This clearly defined system uses key elements of the history and examination to classify patients with shoulder pain. The kappa coefficient denotes good reproducibility.

摘要

目的

描述并确定一种新的肩部综合征识别分类系统的测试间可靠性。

设计

测试间可靠性研究。

设置

14 家初级保健物理治疗诊所。

参与者

255 名肩部疼痛患者。纳入标准:存在盂肱或相关关节和结构的肩部疼痛。

排除标准

既往肩部手术、手术候选者、已识别的恶性肿瘤、全身性疾病或同时存在颈痛和/或神经根病。

干预措施

检查者为 55 名物理治疗师,他们被分成两人一组;每位患者接受两名独立和盲法评估,由配对的物理治疗师中的每一位进行一次评估。这种肩部分类方法包含三个主要的临床综合征:模式 1(撞击痛)、模式 2(肩锁关节痛)和模式 3(肩部疼痛:冻结肩、盂肱关节炎、巨大肩袖撕裂、肩胛下肌撕裂、疼痛性松弛、创伤后不稳定、内部紊乱)。

主要观察指标

百分比一致性和 Cohen's kappa 系数。

结果

患者的平均年龄为 46.6 岁(标准差 16.3,范围 16 至 86),57%为男性。255 个肩部评估中,205 个肩部的物理治疗师对肩部疼痛模式达成一致(一致性率为 80%);kappa 系数为 0.664(95%置信区间为 0.622 至 0.706;P<0.001)。在 205 次一致中,模式 1 是最常见的情况;物理治疗师对 139 名患者诊断为模式 1(68%)。两位物理治疗师对 20 名患者诊断为模式 2,对 46 名患者诊断为模式 3。

结论

这个明确界定的系统使用病史和检查的关键要素对肩部疼痛患者进行分类。kappa 系数表示良好的可重复性。

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