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首页> 外文期刊>The journal of pain: official journal of the American Pain Society >The efficacy of web-based cognitive behavioral interventions for chronic pain: a systematic review and meta-analysis.
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The efficacy of web-based cognitive behavioral interventions for chronic pain: a systematic review and meta-analysis.

机译:基于网络的认知行为干预对慢性疼痛的疗效:系统评价和荟萃分析。

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摘要

Our objective was to conduct a systematic review and meta-analysis to quantify the efficacy of web-based cognitive behavioral interventions for the treatment of patients with chronic pain. MEDLINE and other databases were searched as data sources. Reference lists were examined for other relevant articles. We included 11 studies that evaluated the effects of web-based interventions on chronic pain using specific scales of pain. The pooled effect size (standardized mean difference between intervention versus waiting-list group means) from a random effects model was .285 (95% confidence interval: .145-.424), favoring the web-based intervention compared with the waiting-list group, although the effect was small. In addition, these results were not driven by any particular study, as shown by sensitivity analysis. Results from funnel plot argue against publication bias. Finally, the average dropout rate was 26.6%. In our meta-analysis, we demonstrate a small effect of web-based interventions, when using pain scale as the main outcome. Despite the minor effects and high dropout rates, the decreased costs and minor risk of adverse effects compared with pharmacological treatments support additional studies in chronic pain patients using web-based interventions. Further studies will be important to confirm the effects and determine the best responders to this intervention. PERSPECTIVE: Our findings suggest that web-based interventions for chronic pain result in small pain reductions in the intervention group compared with waiting-list control groups. These results advance the field of web-based cognitive behavioral interventions as a potential therapeutic tool for chronic pain and can potentially help clinicians and patients with chronic pain by decreasing treatment costs and side effects.
机译:我们的目标是进行系统的回顾和荟萃分析,以量化基于网络的认知行为干预对慢性疼痛患者的治疗效果。搜索MEDLINE和其他数据库作为数据源。检查参考列表中其他相关文章。我们纳入了11项研究,这些研究使用特定的疼痛量表评估了基于网络的干预措施对慢性疼痛的影响。来自随机效应模型的合并效应量(干预与等待列表组均值之间的标准化平均差)为.285(95%置信区间:.145-.424),与等待列表相比,基于网络的干预更受青睐组,虽然效果很小。此外,敏感性分析表明,这些结果不受任何特定研究的驱动。漏斗图的结果反对出版偏见。最后,平均辍学率为26.6%。在我们的荟萃分析中,当使用疼痛量表作为主要结果时,我们证明了基于网络的干预措施的微小影响。尽管效果不佳且辍学率较高,但与药物治疗相比,成本降低和不良反应风险较小,仍支持使用基于Web的干预措施对慢性疼痛患者进行更多研究。进一步的研究对于确认效果并确定对此干预措施的最佳反应者至关重要。观点:我们的发现表明,与等候名单对照组相比,基于网络的慢性疼痛干预措施可使干预组的疼痛减轻幅度较小。这些结果推动了基于网络的认知行为干预作为潜在的慢性疼痛治疗工具的发展,并可能通过降低治疗成本和副作用来帮助临床医生和患有慢性疼痛的患者。

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