基于远程监测对化疗间歇期淋巴瘤患者症状管理的最佳证据总结OA
Best evidence summary for symptom management in lymphoma patients during chemotherapy intervals based on remote monitoring
目的:淋巴瘤是中国高发恶性肿瘤,患者化疗间歇期长,离院后化疗不良反应仍持续,却缺乏针对性管理方案.移动健康(远程医疗、移动信息平台等)打破了院内指导的时空限制,可为化疗间歇期患者提供精准的症状管理支持.本研究旨在基于远程监测汇总化疗间歇期淋巴瘤患者症状管理的相关证据,为其提供循证依据.方法:构建化疗间歇期淋巴瘤患者症状管理方案,依据PIPOST(Population,Intervention,Professional,Outcome,Setting,Type of evidence)构建循证问题.证据应用的目标人群(population,P)为淋巴瘤化疗间歇期患者;干预措施(intervention,I)为基于远程监测的症状管理方案,包括但不限于动态症状评估、个性化健康指导、智能随访、预警系统与远程决策支持;人员(professional,P)为血液科专科医护人员、随访专员;结局指标(outcome,O)的主要结局指标为非计划再住院率、症状控制有效率、生活质量评分、患者报告结局等,次要结局包括护理工作效率、症状复发率、化疗依从性等;证据应用场景(setting,S)为医院外居家环境,通过智能平台实现远程监测与管理;证据类型(type of evidence,T)为系统评价、专家共识、指南、证据总结、临床决策等.依照"6S"金字塔证据模型,对化疗间歇期淋巴瘤患者症状管理进行国内外相关指南网和数据库的全面检索.检索乔安娜布里格斯研究所(Joanna Briggs Institute,JBI)、UpToDate、CINAHL、Cochrane Library、中国知网、万方数据知识服务平台、维普、Embase、PubMed、Sinomed、医脉通等数据库中关于化疗间歇期淋巴瘤患者症状管理的指南、系统评价、专家共识、随机对照试验等文献.结合不同数据库要求,采用主题词与自由词结合的方法进行检索.检索时限为建库至2025年12月.研究人员进行文献质量评价、证据等级划分并凝练证据.结果:共纳入10篇文献,其中指南1篇、系统评价1篇、专家共识2篇、随机对照试验5篇、队列研究1篇.共计提取15条证据,并进行归纳整理、分析凝练后形成动态综合评估、营养状态管理、心理状态管理、消化系统、感染、癌因性疲乏、骨髓抑制症状的管理7个类别.结论:研究总结了化疗间歇期淋巴瘤患者症状预防与管理的最佳证据.医务人员和决策者可结合具体情境选择证据,形成科学护理策略,提升护理质量.
Objective:Lymphoma is a common malignant tumor in China.Patients often experience prolonged intervals between chemotherapy cycles,during which chemotherapy-related adverse effects may persist after discharge,while targeted management strategies remain insufficient.Mobile health technologies,including telemedicine and mobile information platforms,overcome the temporal and spatial limitations of in-hospital guidance and may provide precise symptom management support for patients during chemotherapy intervals.This study aims to summarize the available evidence on remote monitoring-based symptom management for lymphoma patients during chemotherapy intervals and provide an evidence-based foundation for clinical practice. Methods:Develop a symptom management plan for lymphoma patients during the chemotherapy break period.The evidence-based question was constructed according to the Population,Intervention,Professional,Outcome,Setting,and Type of evidence(PIPOST)framework.The target population(P)consisted of lymphoma patients during chemotherapy intervals.The intervention(I)included remote monitoring-based symptom management programs,including but not limited to dynamic symptom assessment,individualized health education,intelligent follow-up,warning systems,and remote decision support.Professionals(P)included hematology specialists,nurses,and follow-up coordinators.Outcomes:Primary outcomes included unplanned readmission rate,symptom control effectiveness,quality-of-life scores,and patient-reported outcomes;Secondary outcomes included nursing efficiency,symptom recurrence rate,and chemotherapy adherence.The evidence application setting(S)was the home environment after discharge,where remote monitoring and management were implemented through intelligent platforms.Eligible evidence types(T)included systematic reviews,consensus statements,guidelines,evidence summaries,and clinical decision support resources.Following the"6S"evidence pyramid model,relevant guidelines and databases were systematically searched.Databases and resources included the Joanna Briggs Institute(JBI),UpToDate,CINAHL,Cochrane Library,CNKI,Wanfang Data,VIP,Embase,PubMed,Sinomed,and Medlive.The search focused on guidelines,systematic reviews,expert consensus statements,evidence summaries,and randomized controlled trials related to symptom management in lymphoma patients during chemotherapy intervals.Searches were conducted using a combination of controlled vocabulary and free-text terms according to the requirements of different databases.The search period ranged from database inception to December 2025.Literature quality assessment,evidence grading,and evidence synthesis were performed by the researchers. Results:A total of 10 studies were included,consisting of 1 guideline,1 systematic review,2 expert consensus statements,5 randomized controlled trials,and 1 cohort study.Fifteen evidence statements were extracted and synthesized into 7 categories:Dynamic comprehensive assessment,nutritional status management,psychological status management,gastrointestinal system management,infection management,cancer-related fatigue management,and myelosuppression symptom management. Conclusion:This study summarizes the best available evidence for symptom prevention and management among lymphoma patients during chemotherapy intervals.Healthcare professionals and policymakers can select and adapt evidence according to specific clinical contexts to develop evidence-based nursing strategies and improve the quality of care.
白璐;殷云;刘利娟;齐香明
山西省人民医院血液科 太原 030100山西省人民医院血液科 太原 030100山西省人民医院血液科 太原 030100山西省人民医院血液科 太原 030100
医药卫生
远程监测智能平台化疗间歇期淋巴瘤症状管理
remote patient monitoringintelligent platformchemotherapy intervallymphomasymptom management
《临床与病理杂志》 2026 (7)
1071-1080,10
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