Non-verbal cues to osteoarthritic knee and/or hip pain in elders.

Non-verbal cues to osteoarthritic knee and/or hip pain in elders.
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老年人骨关节炎膝盖和/或臀部疼痛的非语言暗示。

DOI:
10.1002/nur.20432
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发表时间:
2011
影响因子:
2
通讯作者:
Keefe,FrancisJ
Keefe,FrancisJ
中科院分区:
医学4区
文献类型:
--
作者:
Tsai,Pao-Feng;Kuo,Yong-Fang;Beck,Cornelia;Richards,Kathy;Means,KevinM;Pate,BarbaraL;Keefe,FrancisJ

文献摘要

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行为线索被认为对那些可能正在经历疼痛但无法表达的老年人识别疼痛是有用的。为了验证这一假设,我们招募了192名能够口头表达疼痛的老年人,以确定结合行为线索(运动和步态模式)的回归模型是否能预测口头疼痛报告。在最佳模型中,年龄(p< 0.01)和测量保护(p< 0.01)和关节屈曲(p< 0.01)运动模式的亚量表是口头疼痛报告的显著预测因子。受试者工作特征曲线表明,预测概率的最佳截止值为40-44%,统计量为。78 (sd = .04)。在40%的临界值下,敏感性和特异性分别为71.6%和71.0%。研究人员得出结论,最终的模型可以作为开发一种工具的基础,使用行为线索来识别老年人的痛苦。©2011 Wiley期刊公司中华卫生杂志,2011
Behavioral cues are believed to be useful to identify pain among elders who may be experiencing pain but unable to express it. To examine this assumption, we recruited 192 elders who could verbally express pain to determine whether regression models combining behavioral cues (motor and gait patterns) predicted verbal pain reports. In the best model, age (p< .01) and subscales that measured guarding (p< .001) and joint flexion (p< .01) motor patterns were significant predictors of verbal pain reports. The receiver operating characteristic curve indicated that the best cutoff for predictive probability was 40–44%, with a fair to goodCstatistic of .78 (SD= .04). With a 40% cutoff, sensitivity and specificity were 71.6% and 71.0%, respectively. The investigators concluded that the final model could serve as a building block for the development of a tool using behavioral cues to identify elders' pain. © 2011 Wiley Periodicals, Inc. Res Nurs Health 34:218–227, 2011