PDF(Pubmed)
Abstract：
UNASSIGNED: 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 PaiNEd app, which includes an algorithm to report whether patients are under predominant CS pain mechanisms.
UNASSIGNED: We aimed to assess the reliability of the PaiNEd app to estimate whether sBC pain experience is predominantly related to CS symptoms.
UNASSIGNED: An observational, descriptive reliability design was employed to assess the inter- and intrarater reliability of the PaiNEd app. 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).
UNASSIGNED: 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%.
UNASSIGNED: The PaiNEd app 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.
UNASSIGNED: We aimed to assess the reliability of the PaiNEd app to estimate whether sBC pain experience is predominantly related to CS symptoms.
UNASSIGNED: An observational, descriptive reliability design was employed to assess the inter- and intrarater reliability of the PaiNEd app. 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).
UNASSIGNED: 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%.
UNASSIGNED: The PaiNEd app 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.
摘要：
■疼痛是乳腺癌（sBC）幸存者中常见的不良事件。由于没有黄金标准来评估主要与中枢致敏（CS）症状相关的疼痛经历，我们设计了Payned应用程序,其中包括一种算法来报告患者是否处于主要的CS疼痛机制下。
■我们旨在评估PaiNEd应用程序的可靠性，以评估sBC疼痛经历是否主要与CS症状有关。
■观测，描述性可靠性设计用于评估PaiNEd应用程序的内部和内部可靠性。这个应用程序包括一个算法，考虑疼痛身体部位的数量和一些与疼痛相关的问卷，如数字疼痛评定量表，简短的疼痛清单，运动恐惧症的坦帕量表，疼痛灾难量表，和中央敏感清单(CSI)。
■共招募21例持续性疼痛的sBC。我们观察到纸质格式和基于应用程序的格式之间存在紧密一致的总体趋势（ICC介于0.802和0.972之间；Cronbach的alpha介于0.797和0.971之间）。重测可靠性中等至优异（ICC介于0.510和0.941之间；Cronbach的α介于0.499和0.938之间）。CS算法的分类与CSI（CS症状的截止点≥40）之间的一致性为95.24％。
PaiNEd应用程序成为评估主要与CS和sBC疼痛相关症状相关的疼痛体验的强大工具。其证明的可靠性不仅增强了其实用性，而且标志着其作为从事疼痛教育计划的医疗保健专业人员的宝贵资产的潜力。
■我们旨在评估PaiNEd应用程序的可靠性，以评估sBC疼痛经历是否主要与CS症状有关。
■观测，描述性可靠性设计用于评估PaiNEd应用程序的内部和内部可靠性。这个应用程序包括一个算法，考虑疼痛身体部位的数量和一些与疼痛相关的问卷，如数字疼痛评定量表，简短的疼痛清单，运动恐惧症的坦帕量表，疼痛灾难量表，和中央敏感清单(CSI)。
■共招募21例持续性疼痛的sBC。我们观察到纸质格式和基于应用程序的格式之间存在紧密一致的总体趋势（ICC介于0.802和0.972之间；Cronbach的alpha介于0.797和0.971之间）。重测可靠性中等至优异（ICC介于0.510和0.941之间；Cronbach的α介于0.499和0.938之间）。CS算法的分类与CSI（CS症状的截止点≥40）之间的一致性为95.24％。
PaiNEd应用程序成为评估主要与CS和sBC疼痛相关症状相关的疼痛体验的强大工具。其证明的可靠性不仅增强了其实用性，而且标志着其作为从事疼痛教育计划的医疗保健专业人员的宝贵资产的潜力。
