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化疗期间患者自我报告症状的自动化家庭监测与管理:居家症状护理随机对照试验的结果

Automated home monitoring and management of patient-reported symptoms during chemotherapy: results of the symptom care at home RCT.

作者信息

Mooney Kathi H, Beck Susan L, Wong Bob, Dunson William, Wujcik Debra, Whisenant Meagan, Donaldson Gary

机构信息

Huntsman Cancer Institute, University of Utah, College of Nursing, Salt Lake City, Utah.

出版信息

Cancer Med. 2017 Mar;6(3):537-546. doi: 10.1002/cam4.1002. Epub 2017 Jan 30.

Abstract

Technology-aided remote interventions for poorly controlled symptoms may improve cancer symptom outcomes. In a randomized controlled trial, the efficacy of an automated symptom management system was tested to determine if it reduced chemotherapy-related symptoms. Prospectively, 358 patients beginning chemotherapy were randomized to the Symptom Care at Home (SCH) intervention (n = 180) or enhanced usual care (UC) (n = 178). Participants called the automated monitoring system daily reporting severity of 11 symptoms. SCH participants received automated self-management coaching and nurse practitioner (NP) telephone follow-up for poorly controlled symptoms. NPs used a guideline-based decision support system. Primary endpoints were symptom severity across all symptoms, and the number of severe, moderate, mild, and no symptom days. A secondary endpoint was individual symptom severity. Mixed effects linear modeling and negative binominal regressions were used to compare SCH with UC. SCH participants had significantly less symptom severity across all symptoms (P < 0.001). On average, the relative symptom burden reduction for SCH participants was 3.59 severity points (P < 0.001), roughly 43% of UC. With a very rapid treatment benefit, SCH participants had significant reductions in severe (67% less) and moderate (39% less) symptom days compared with UC (both P < 0.001). All individual symptoms, except diarrhea, were significantly lower for SCH participants (P < 0.05). Symptom Care at Home dramatically improved symptom outcomes. These results demonstrate that symptoms can be improved through automated home monitoring and follow-up to intensify care for poorly controlled symptoms.

摘要

技术辅助的远程干预措施对于控制不佳的症状可能会改善癌症症状结局。在一项随机对照试验中,对一个自动化症状管理系统的疗效进行了测试,以确定其是否能减轻化疗相关症状。前瞻性地,358名开始化疗的患者被随机分为居家症状护理(SCH)干预组(n = 180)或强化常规护理(UC)组(n = 178)。参与者每天致电自动化监测系统报告11种症状的严重程度。SCH组参与者会收到自动化自我管理指导以及护士从业者(NP)针对控制不佳症状的电话随访。NP使用基于指南的决策支持系统。主要终点是所有症状的症状严重程度,以及严重、中度、轻度和无症状天数。次要终点是个体症状严重程度。使用混合效应线性模型和负二项回归来比较SCH组和UC组。SCH组参与者在所有症状上的症状严重程度显著更低(P < 0.001)。平均而言,SCH组参与者的相对症状负担减轻了3.59个严重程度点(P < 0.001),约为UC组的43%。由于治疗益处出现得非常迅速,与UC组相比,SCH组参与者的严重症状天数(减少67%)和中度症状天数(减少39%)显著减少(均P < 0.001)。除腹泻外,SCH组参与者的所有个体症状均显著更低(P < 0.05)。居家症状护理显著改善了症状结局。这些结果表明,通过自动化家庭监测和随访以加强对控制不佳症状的护理,可以改善症状。

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