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The Pain Course: exploring predictors of clinical response to an Internet-delivered pain management program

机译:疼痛课程:探索对互联网提供的疼痛管理程序的临床反应的预测指标

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There is significant interest in the potential of Internet-delivered pain management programs for adults with chronic pain. Understanding the characteristics of people who do and do not benefit from Internet-delivered programs will help to guide their safe and effective use. Using a large sample from a previous randomised controlled trial of an established Internet-delivered pain management program, the Pain Course, this study (n = 463) examined whether several demographic, clinical, psychological, and treatment-related variables could be used to predict clinical response in levels of disability, depression, anxiety, or average pain. Multiple univariate and multivariate stepwise logistic regressions were used to identify unique predictors of clinical improvement, which, consistent with recommendations, was defined as a >= 30% reduction in symptoms or difficulties from baseline. Several unique predictors of clinical improvement were found. However, no particularly decisive or dominant predictors emerged that were common across time points or across the outcome domains. Reflecting this, the identified predictors explained only 18.1%, 13.7%, 7.6%, and 9.5% of the variance in the likelihood of making a clinical improvement in disability, depression, anxiety, and average pain levels, respectively. The current findings suggest that a broad range of patients may benefit from emerging Internet-delivered pain management programs and that it may not be possible to predict who will or will not benefit on the basis of patients' demographic, clinical, and psychological characteristics.
机译:Internet提供的针对慢性疼痛成年人的疼痛管理程序的潜力引起了极大的兴趣。了解从互联网提供的程序中受益或不受益的人的特征,将有助于指导他们安全有效地使用。本研究(n = 463)使用以前建立的由互联网提供的疼痛管理程序“疼痛课程”的随机对照试验中的大量样本,检验了是否可以使用几种人口统计学,临床,心理和治疗相关变量来预测残疾,抑郁,焦虑或平均疼痛程度的临床反应。多元单因素和多元逐步logistic回归用于确定临床改善的独特预测因素,与建议一致,定义为症状或困难较基线减少> = 30%。发现了几种临床改善的独特预测因素。但是,没有出现在时间点或结果域中通用的特别决定性或主导性预测因子。反映这一点的是,已确定的预测因素仅分别解释了使残疾,抑郁,焦虑和平均疼痛水平发生临床改善的可能性的方差的18.1%,13.7%,7.6%和9.5%。当前的发现表明,广泛的患者可能会受益于新兴的Internet提供的疼痛管理程序,并且可能无法根据患者的人口统计学,临床和心理特征来预测谁将会或不会受益。

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