College of Nursing, University of Iowa Iowa City, IA, United States.
Department of Nursing and University of Iowa College of Nursing, University of Iowa Hospitals and Clinics Iowa City, IA, United States.
Pain. 2022 Sep 1;163(9):1716-1727. doi: 10.1097/j.pain.0000000000002553. Epub 2021 Dec 15.
Dressing changes cause severe pain (ie, 8-10 on a 10-point scale) for approximately one-third (36%) of patients with open skin wounds. No tool exists that allows nurses to predict which patients are likely to experience severe pain during dressing changes. The aim of this study was to develop a clinical tool to predict severe pain during dressing changes using clinically accessible wound and pain predictors and to evaluate the diagnostic validity of this model. Using a cross-sectional design, a one-time study dressing change was conducted by the same wound care nurse on 445 subjects while concurrently measuring patient and wound predictors and pain intensity during the dressing change. Three predictors came out of the study as most useful for a clinical prediction tool: type of dressing, resting wound pain, and expected pain. Algorithms based on these predictors are presented, which can be applied in other settings to predict patients likely to experience severe pain during a dressing change. This is the first study to systematically examine a comprehensive set of wound and patient predictors for their individual and collective associations with pain during dressing changes using precisely defined and rigorously measured study variables. The ability to predict which patients are likely to have severe pain during dressing changes is critically needed so that they can be targeted for preventive pain control strategies.
更换敷料会导致约三分之一(36%)的开放性皮肤伤口患者产生剧烈疼痛(即 10 分制的 8-10 分)。目前尚无工具可以让护士预测哪些患者在更换敷料时可能会经历剧烈疼痛。本研究旨在开发一种临床工具,使用临床可及的伤口和疼痛预测因素来预测更换敷料时的严重疼痛,并评估该模型的诊断有效性。采用横断面设计,由同一位伤口护理护士对 445 名受试者进行一次性研究性更换敷料,同时测量患者和伤口预测因素以及更换敷料过程中的疼痛强度。研究中确定了三种最有用的预测因子:敷料类型、静息伤口疼痛和预期疼痛。本文提出了基于这些预测因子的算法,这些算法可应用于其他环境,以预测在更换敷料时可能会经历严重疼痛的患者。这是第一项使用精确定义和严格测量的研究变量,系统地检查一套全面的伤口和患者预测因子,以确定它们与更换敷料时疼痛的个体和综合关联的研究。能够预测哪些患者在更换敷料时可能会有严重疼痛,对于针对这些患者实施预防性疼痛控制策略至关重要。