Consistency and Accuracy of Multiple Pain Scales Measured in Cancer Patients From Multiple Ethnic Groups.
Consistency and Accuracy of Multiple Pain Scales Measured in Cancer Patients From Multiple Ethnic Groups.
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DOI：
10.1097/ncc.0000000000000179
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发表时间：
2015-07
期刊：
影响因子：
2.6
通讯作者：
Im EO
中科院分区：
文献类型：
--
作者：
Ham OK;Kang Y;Teng H;Lee Y;Im EO
跨不同工具的标准化疼痛强度测量将使从业者对疼痛管理的临床决策有信心。目的是检查一维疼痛评分之间的一致性程度，并确定多维疼痛评分在严重疼痛诊断中的准确性。进行二次分析。该样本包括从互联网和社区环境中招募的480名癌症患者的便利样本。采用言语描述量表(VDS)、视觉模拟量表(VAS)、面部疼痛问卷(FPS)、麦吉尔疼痛问卷-简表(MPQ-SF)和简明疼痛问卷-简表(BPI-SF)测量癌症疼痛。使用多变量方差分析(MANOVA)和受试者工作特征(ROC)曲线分析数据。VDS与VAS的符合率为77.25%，VDS与FPS的符合率为71.88%，VAS与FPS的符合率为71.60%。MPQ-SF和BPI-SF对重度疼痛的诊断具有较高的准确性。严重疼痛的临界点是MPQ-SF的>；8和BPI-SF的>；14，它们表现出较高的敏感性和相对较低的特异性。研究发现，一维疼痛等级之间基本一致，MPQ-SF和BPI-SF在诊断严重疼痛方面具有很高的准确性。使用一种或多种经验证的诊断准确性和一致性的疼痛筛查工具将有助于有效地对疼痛进行分类，并随后在多种族癌症患者群体中促进最佳的疼痛控制。
Standardized pain-intensity measurement across different tools would enable practitioners to have confidence in clinical decision-making for pain management. The purpose was to examine the degree of agreement among unidimensional pain scales, and to determine the accuracy of the multidimensional pain scales in the diagnosis of severe pain. A secondary analysis was performed. The sample included a convenience sample of 480 cancer patients recruited from both the internet and community settings. Cancer pain was measured using the Verbal Descriptor Scale (VDS), the Visual Analog Scale (VAS), the Faces Pain Scale (FPS), the McGill Pain Questionnaire-Short Form (MPQ-SF) and the Brief Pain Inventory-Short Form (BPI-SF). Data were analyzed using a multivariate analysis of variance (MANOVA) and a receiver operating characteristics (ROC) curve. The agreement between the VDS and VAS was 77.25%, while the agreement was 71.88% and 71.60% between the VDS and FPS, and VAS and FPS, respectively. The MPQ-SF and BPI-SF yielded high accuracy in the diagnosis of severe pain. Cutoff points for severe pain were > 8 for the MPQ-SF and > 14 for the BPI-SF, which exhibited high sensitivity and relatively low specificity. The study found substantial agreement between the unidimensional pain scales, and high accuracy of the MPQ-SF and the BPI-SF in the diagnosis of severe pain. Use of one or more pain screening tools that have been validated diagnostic accuracy and consistency will help classify pain effectively and subsequently promote optimal pain control in multi-ethnic groups of cancer patients.