Xie Xiaotong, Gao Xue, Wang Hui, Li Binghua, Wang Yan, Jiao Xiaodong, Xv Xiaowan, Zhou Lingjun
Faculty of Nursing, Naval Medical University, Shanghai, People's Republic of China.
Department of Nursing, No. 943 hospital of the People's Liberation Army, Wuwei, Gansu Province, People's Republic of China.
Patient Prefer Adherence. 2025 Mar 15;19:605-614. doi: 10.2147/PPA.S506756. eCollection 2025.
To understand the willingness of patients and healthcare workers to use, as well as their needs for, an intelligent cancer pain management platform. The findings will serve as a reference for developing cancer pain management tools in China.
A Purposive sampling was used to conduct semi-structured interviews from March to June 2024 with patients experiencing chronic cancer pain, their family members, and healthcare workers in the oncology departments of two tertiary grade A hospitals in Shanghai, China. Data were analyzed using the Colaizzi's seven-step analysis.
The needs of patients and healthcare workers for a cancer pain management app were categorized into five themes, namely, recording of pain status, medication reminders, health education, social support, and artificial intelligence assistance.
Future development of an advanced cancer pain management platform must address the multiple challenges currently faced in out-of-hospital cancer pain management, while also considering the needs and preferences of patients and healthcare workers. The platform should integrate features such as visualization of patients' pain trends, online medical education, peer support, real-time counseling, artificial intelligence assistance, and guidance for at-home self-management and supervision.
了解患者及医护人员使用智能癌症疼痛管理平台的意愿及其需求。研究结果将为中国开发癌症疼痛管理工具提供参考。
采用目的抽样法,于2024年3月至6月对中国上海两家三级甲等医院肿瘤科的慢性癌症疼痛患者、其家属及医护人员进行半结构化访谈。采用Colaizzi七步分析法对数据进行分析。
患者及医护人员对癌症疼痛管理应用程序的需求分为五个主题,即疼痛状态记录、用药提醒、健康教育、社会支持和人工智能辅助。
未来先进癌症疼痛管理平台的开发必须应对目前院外癌症疼痛管理面临的多重挑战,同时还要考虑患者及医护人员的需求和偏好。该平台应整合患者疼痛趋势可视化、在线医学教育、同伴支持、实时咨询、人工智能辅助以及居家自我管理与监督指导等功能。