Elkefi Safa, Wu Polly, Sabra Roa, Feiner Steven, Chen Lanyi, Hembroff Guy, Matthews Alicia K
School of Systems Science and Industrial Engineering, Watson College of Engineering, Vestal, NY, USA.
School of Nursing, Columbia University, New York, NY, USA.
NPJ Digit Med. 2025 Aug 13;8(1):516. doi: 10.1038/s41746-025-01913-7.
This systematic review examines the role of technology-based interventions in supporting lung cancer patients during their treatment. It identifies (1) the different technologies utilized, (2) their functions and benefits, and (3) the barriers encountered by patients. The authors searched six databases for literature examining the use of technology to support treatment among lung cancer patients. Twenty-three papers were included. We mapped each technology, telehealth platforms, online portals, and mobile apps, to specific treatment phases (pre-treatment, active treatment, post-treatment) and symptom domains (symptom management (N = 17), emotional distress (N = 12), and patient-provider communication (N = 7)). Our results demonstrate that technology can effectively alleviate treatment-related symptoms, reduce emotional burden, and enhance communication. Key barriers included low digital literacy and limited device access. By explicitly linking intervention types to treatment stages and patient needs, this review provides a practical framework for designing and implementing tailored digital support strategies in lung cancer care.
本系统评价探讨了基于技术的干预措施在肺癌患者治疗期间提供支持方面的作用。它确定了:(1)所使用的不同技术;(2)它们的功能和益处;(3)患者遇到的障碍。作者检索了六个数据库,以查找有关使用技术支持肺癌患者治疗的文献。纳入了23篇论文。我们将每种技术(远程医疗平台、在线门户和移动应用程序)对应到特定的治疗阶段(治疗前、积极治疗、治疗后)和症状领域(症状管理(n = 17)、情绪困扰(n = 12)和患者与提供者沟通(n = 7))。我们的结果表明,技术可以有效缓解与治疗相关的症状、减轻情绪负担并加强沟通。主要障碍包括数字素养低和设备获取受限。通过明确将干预类型与治疗阶段及患者需求相联系,本评价为在肺癌护理中设计和实施量身定制的数字支持策略提供了一个实用框架。