Zhang Le, Luo Yuanyuan, Mao Dongmei, Zhu Benxiang, Yang Zhihui, Miao Jingxia, Zhang Lili
School of Nursing, Southern Medical University, Guangzhou, Guangdong, China.
Department of Medical Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Semin Oncol Nurs. 2024 Dec;40(6):151727. doi: 10.1016/j.soncn.2024.151727. Epub 2024 Aug 27.
This study aimed to summarize the most effective evidence on nonpharmacological interventions for the fatigue-pain-sleep disturbance symptom cluster in lung cancer patients and to provide evidence-based management methods for clinical team and lung cancer patients.
Guided by the "6S" pyramid model, we retrieved evidence on fatigue, pain, and sleep disturbance management from relevant websites and databases, and unpublished gray literature was also searched. The time frame of the search ranged from database establishment to September 30, 2023. Two researchers independently evaluated the literature quality using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) for guidelines, and the Assessment of Multiple Systematic Reviews II (AMSTAR II) for systematic reviews. Two people independently extracted and summarized the evidence according to the first principle of high-quality evidence and newly published evidence. The included evidence was graded by the JBI Evidence Pre-Grading System.
A total of 52,238 articles were retrieved, of which 60 articles, including 18 guidelines, 18 JBI best practice recommendations, one Up To Date clinical practice, and 23 systematic reviews, were included. Overall, 49 pieces of evidence from six dimensions-screening, assessment, management, education, referral, and follow-up-were summarized. Forty-three pieces of evidence were level 1, three pieces of evidence were level 4, and three pieces of evidence were level 5.
The best 49 pieces of evidence on nonpharmacological interventions for the fatigue-pain-sleep disturbance symptom cluster in lung cancer patients were summarized in this study, and these nonpharmacological interventions are scientific and comprehensive.
This study can provide guidance for clinical team to improve the fatigue-pain-sleep disturbance symptom cluster management. These evidence items can be implemented by clinical team to reduce the symptom burden and improve the self-management ability of symptoms in lung cancer patients.
本研究旨在总结肺癌患者疲劳-疼痛-睡眠障碍症状群非药物干预的最有效证据，为临床团队和肺癌患者提供循证管理方法。
以“6S”金字塔模型为指导，从相关网站和数据库检索疲劳、疼痛和睡眠障碍管理的证据，同时检索未发表的灰色文献。检索时间范围为数据库建立至2023年9月30日。两名研究人员分别使用《研究与评价指南评估II》（AGREE II）对指南进行文献质量评估，使用《多重系统评价评估II》（AMSTAR II）对系统评价进行评估。两人根据高质量证据和新发表证据的首要原则独立提取和总结证据。纳入的证据由JBI证据预分级系统进行分级。
共检索到52238篇文章，其中纳入60篇文章，包括18篇指南、18篇JBI最佳实践推荐、1篇《最新临床实践》和23篇系统评价。总体而言，从筛查、评估、管理、教育、转诊和随访六个维度总结了49条证据。43条证据为1级，3条证据为4级，3条证据为5级。
本研究总结了肺癌患者疲劳-疼痛-睡眠障碍症状群非药物干预的最佳49条证据，这些非药物干预科学且全面。
本研究可为临床团队改善疲劳-疼痛-睡眠障碍症状群管理提供指导。临床团队可实施这些证据条目，以减轻症状负担，提高肺癌患者的症状自我管理能力。
