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慢性腰痛患者疼痛灾难化量表及其简短形式的测量精度。

Measurement precision of the Pain Catastrophizing Scale and its short forms in chronic low back pain.

机构信息

Physical and Rehabilitation Medicine Unit, Scientific Institute of Tradate, Istituti Clinici Scientifici Maugeri, IRCCS, Via Roncaccio 16, Tradate, VA, Italy.

Bioengineering Unit, Scientific Institute of Veruno, Istituti Clinici Scientifici Maugeri, IRCCS, Veruno, NO, Italy.

出版信息

Sci Rep. 2022 Jul 14;12(1):12042. doi: 10.1038/s41598-022-15522-x.

Abstract

The Pain Catastrophizing Scale (PCS) is a widely studied tool to assess pain catastrophizing for chronic low back pain (LBP). Short forms of the PCS exist, but their measurement precision at individual level is unclear. This study aimed to analyze the Rasch psychometric characteristics of the PCS and three of its short forms (two 4-item and one 6-item) in a sample of 180 Italian-speaking patients with chronic LBP, and compare their measurement precision at the individual level. We performed a Rasch analysis on each version of the PCS and calculated test information functions (TIFs) to examine conditional measurement precision. Rasch analysis showed appropriate rating category functioning, unidimensionality, and acceptable fit to the Rasch model for all PCS versions. This represented a prerequisite for performing further advanced psychometric analyses. According to TIFs, the PCS full scale showed-at any score level-higher measurement precision in estimating individual pain catastrophizing than its short forms (which had unacceptably high standard errors of measurement). Our results show acceptable conditional precision of the PCS full scale in estimating pain catastrophizing. However, further studies are needed to confirm its diagnostic accuracy at individual level. On the other hand, the study warns against use of the three PCS short forms for clinical decision-making at the individual level.

摘要

疼痛灾难化量表(PCS)是一种广泛研究的用于评估慢性下腰痛(LBP)患者疼痛灾难化的工具。该量表有简短形式,但在个体水平上的测量精度尚不清楚。本研究旨在分析 PCS 及其三种简短形式(两种 4 项和一种 6 项)在 180 名意大利语慢性 LBP 患者样本中的 Rasch 心理测量学特征,并比较它们在个体水平上的测量精度。我们对每个版本的 PCS 进行了 Rasch 分析,并计算了测试信息函数(TIF)以检查条件测量精度。Rasch 分析表明,所有 PCS 版本的评分类别功能、单维性和对 Rasch 模型的可接受拟合均良好。这是进行进一步高级心理测量分析的前提。根据 TIF,PCS 全量表在估计个体疼痛灾难化方面显示出更高的测量精度-在任何得分水平上-比其简短形式(测量误差标准过高)更高。我们的结果表明,PCS 全量表在估计疼痛灾难化方面具有可接受的条件精度。然而,需要进一步的研究来确认其在个体水平上的诊断准确性。另一方面,该研究警告不要在个体水平上使用三种 PCS 简短形式进行临床决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19e5/9283330/fdcda2606599/41598_2022_15522_Fig1_HTML.jpg

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