Fernández-Gualda Miguel Ángel, Ariza-Vega Patrocinio, Galiano-Castillo Noelia, Tovar-Martín Isabel, Ortiz-Comino Lucía, Lozano-Lozano Mario, Fernández-Lao Carolina
Biomedical Group (BIO277), Department of Physical Therapy, Health Sciences Faculty, University of Granada, Granada, Spain.
Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain.
Digit Health. 2024 Jun 14;10:20552076241260150. doi: 10.1177/20552076241260150. eCollection 2024 Jan-Dec.
Pain is a common adverse event in survivors of breast cancer (sBCs). As there is no gold standard to assess pain experience predominantly related to central sensitization (CS) symptoms, we designed the , which includes an algorithm to report whether patients are under predominant CS pain mechanisms.
We aimed to assess the reliability of the to estimate whether sBC pain experience is predominantly related to CS symptoms.
An observational, descriptive reliability design was employed to assess the inter- and intrarater reliability of the This app includes an algorithm that considers the number of painful body parts and some questionnaires related to pain, such as the Numeric Pain-Rating Scale the Brief Pain Inventory, the Tampa Scale for Kinesiophobia, the Pain Catastrophizing Scale, and the Central Sensitization Inventory (CSI).
A total of 21 sBCs with persistent pain were recruited. We observe a general trend of close agreement between the paper-based and app-based formats (ICCs ranged between 0.802 and 0.972; Cronbach's alpha ranged between 0.797 and 0.971). Test-retest reliabilities were moderate to excellent (ICCs ranged between 0.510 and 0.941; Cronbach's alpha ranged between 0.499 and 0.938). The agreement between the categorization of the CS algorithm and the CSI (cut-off point ≥ 40 for CS symptoms) was 95.24%.
The emerges as a robust tool for evaluating pain experience predominantly related to CS and pain-related symptoms in sBCs. Its demonstrated reliability not only bolsters its utility but also signifies its potential as a valuable asset for healthcare professionals engaged in pain education programs.
疼痛是乳腺癌幸存者（sBCs）中常见的不良事件。由于没有评估主要与中枢敏化（CS）症状相关的疼痛体验的金标准，我们设计了[具体名称未给出]，其中包括一种算法，用于报告患者是否处于主要的CS疼痛机制之下。
我们旨在评估[具体名称未给出]评估sBC疼痛体验是否主要与CS症状相关的可靠性。
采用观察性、描述性可靠性设计来评估[具体名称未给出]的评分者间和评分者内可靠性。该应用程序包括一种算法，该算法考虑疼痛身体部位的数量以及一些与疼痛相关的问卷，如数字疼痛评分量表、简明疼痛问卷、坦帕运动恐惧量表、疼痛灾难化量表和中枢敏化量表（CSI）。
共招募了21名有持续性疼痛的sBCs患者。我们观察到纸质版和应用程序版之间总体上有密切一致的趋势（组内相关系数范围在0.802至0.972之间；克朗巴哈系数范围在0.797至0.971之间）。重测信度为中等至优秀（组内相关系数范围在0.510至0.941之间；克朗巴哈系数范围在0.499至0.938之间）。CS算法分类与CSI（CS症状的截断点≥40）之间的一致性为95.24%。
[具体名称未给出]成为评估sBCs中主要与CS和疼痛相关症状相关的疼痛体验的有力工具。其已证明的可靠性不仅增强了其效用，还表明它作为参与疼痛教育项目的医疗保健专业人员的宝贵资产的潜力。
