{"title":"慢性疼痛的电子健康干预:系统回顾和荟萃分析方案","authors":"Rosario Caruso , Pier Mario Perrone , Karen Barros Parron Fernandes , Cristina Arrigoni , Arianna Magon , Gianluca Conte , Silvia Belloni , Silvana Castaldi","doi":"10.1016/j.mex.2025.103475","DOIUrl":null,"url":null,"abstract":"<div><div>Chronic pain is a prevalent and costly condition that significantly impairs functional and emotional status as well as quality of life, representing a major cause of incapacity worldwide that requires long-term management strategies.</div><div>eHealth interventions, including telemedicine, mobile health applications, and internet-based programs, have emerged as promising approaches to improve pain management by enhancing access to education, psychological support, and self-monitoring tools. However, the efficacy of these interventions remains unclear due to variability in study designs or intervention components, differences in pain conditions (e.g., somatic or neuropathic pain), and outcome measures. This systematic review and meta-analysis aims to synthesize the evidence on the efficacy of eHealth interventions for chronic non-cancer pain in adults, assessing their impact on pain severity, functional outcomes, quality of life, mental health, medication adherence, patient satisfaction, and cost-effectiveness. A network meta-analysis (NMA) will be conducted to compare different eHealth modalities and identify which features contribute most to positive outcomes. Statistical analyses will follow Cochrane guidelines, with the risk of bias and evidence certainty evaluated using the Cochrane RoB 2.0 tool and GRADE framework, respectively. The findings will provide valuable insights for clinicians, policymakers, and researchers, informing best practices for integrating digital health solutions into chronic pain management.<ul><li><span>•</span><span><div>This systematic review and meta-analysis will assess the efficacy of eHealth interventions for chronic pain management.</div></span></li><li><span>•</span><span><div>A network meta-analysis will compare different digital health modalities to identify the most effective intervention components.</div></span></li><li><span>•</span><span><div>The study will evaluate clinical, functional, psychological, adherence, and cost-related outcomes, informing evidence-based practice and policy.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"15 ","pages":"Article 103475"},"PeriodicalIF":1.9000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"eHealth interventions for chronic pain: Protocol for a systematic review and meta-analysis\",\"authors\":\"Rosario Caruso , Pier Mario Perrone , Karen Barros Parron Fernandes , Cristina Arrigoni , Arianna Magon , Gianluca Conte , Silvia Belloni , Silvana Castaldi\",\"doi\":\"10.1016/j.mex.2025.103475\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Chronic pain is a prevalent and costly condition that significantly impairs functional and emotional status as well as quality of life, representing a major cause of incapacity worldwide that requires long-term management strategies.</div><div>eHealth interventions, including telemedicine, mobile health applications, and internet-based programs, have emerged as promising approaches to improve pain management by enhancing access to education, psychological support, and self-monitoring tools. However, the efficacy of these interventions remains unclear due to variability in study designs or intervention components, differences in pain conditions (e.g., somatic or neuropathic pain), and outcome measures. This systematic review and meta-analysis aims to synthesize the evidence on the efficacy of eHealth interventions for chronic non-cancer pain in adults, assessing their impact on pain severity, functional outcomes, quality of life, mental health, medication adherence, patient satisfaction, and cost-effectiveness. A network meta-analysis (NMA) will be conducted to compare different eHealth modalities and identify which features contribute most to positive outcomes. Statistical analyses will follow Cochrane guidelines, with the risk of bias and evidence certainty evaluated using the Cochrane RoB 2.0 tool and GRADE framework, respectively. The findings will provide valuable insights for clinicians, policymakers, and researchers, informing best practices for integrating digital health solutions into chronic pain management.<ul><li><span>•</span><span><div>This systematic review and meta-analysis will assess the efficacy of eHealth interventions for chronic pain management.</div></span></li><li><span>•</span><span><div>A network meta-analysis will compare different digital health modalities to identify the most effective intervention components.</div></span></li><li><span>•</span><span><div>The study will evaluate clinical, functional, psychological, adherence, and cost-related outcomes, informing evidence-based practice and policy.</div></span></li></ul></div></div>\",\"PeriodicalId\":18446,\"journal\":{\"name\":\"MethodsX\",\"volume\":\"15 \",\"pages\":\"Article 103475\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MethodsX\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2215016125003206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MethodsX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2215016125003206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
慢性疼痛是一种普遍和昂贵的疾病,严重损害功能和情绪状态以及生活质量,是世界范围内丧失行为能力的主要原因,需要长期管理策略。电子卫生干预措施,包括远程医疗、移动卫生应用程序和基于互联网的项目,已经成为通过增加获得教育、心理支持和自我监测工具的机会来改善疼痛管理的有希望的方法。然而,由于研究设计或干预成分的可变性、疼痛状况(如躯体或神经性疼痛)的差异以及结果测量,这些干预措施的有效性仍不清楚。本系统综述和荟萃分析旨在综合电子健康干预对成人慢性非癌性疼痛疗效的证据,评估其对疼痛严重程度、功能结局、生活质量、心理健康、药物依从性、患者满意度和成本效益的影响。将进行网络荟萃分析(NMA)来比较不同的电子健康模式,并确定哪些特征对积极结果贡献最大。统计分析将遵循Cochrane指南,分别使用Cochrane RoB 2.0工具和GRADE框架评估偏倚风险和证据确定性。这些发现将为临床医生、政策制定者和研究人员提供有价值的见解,为将数字健康解决方案整合到慢性疼痛管理中的最佳实践提供信息。•本系统综述和荟萃分析将评估电子健康干预慢性疼痛管理的有效性。•网络荟萃分析将比较不同的数字健康模式,以确定最有效的干预成分。•该研究将评估临床、功能、心理、依从性和成本相关的结果,为循证实践和政策提供信息。
eHealth interventions for chronic pain: Protocol for a systematic review and meta-analysis
Chronic pain is a prevalent and costly condition that significantly impairs functional and emotional status as well as quality of life, representing a major cause of incapacity worldwide that requires long-term management strategies.
eHealth interventions, including telemedicine, mobile health applications, and internet-based programs, have emerged as promising approaches to improve pain management by enhancing access to education, psychological support, and self-monitoring tools. However, the efficacy of these interventions remains unclear due to variability in study designs or intervention components, differences in pain conditions (e.g., somatic or neuropathic pain), and outcome measures. This systematic review and meta-analysis aims to synthesize the evidence on the efficacy of eHealth interventions for chronic non-cancer pain in adults, assessing their impact on pain severity, functional outcomes, quality of life, mental health, medication adherence, patient satisfaction, and cost-effectiveness. A network meta-analysis (NMA) will be conducted to compare different eHealth modalities and identify which features contribute most to positive outcomes. Statistical analyses will follow Cochrane guidelines, with the risk of bias and evidence certainty evaluated using the Cochrane RoB 2.0 tool and GRADE framework, respectively. The findings will provide valuable insights for clinicians, policymakers, and researchers, informing best practices for integrating digital health solutions into chronic pain management.
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This systematic review and meta-analysis will assess the efficacy of eHealth interventions for chronic pain management.
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A network meta-analysis will compare different digital health modalities to identify the most effective intervention components.
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The study will evaluate clinical, functional, psychological, adherence, and cost-related outcomes, informing evidence-based practice and policy.