Wu Junhui, Zhou Weijiao, Wang Weixuan, Shang Shaomei
School of Nursing, Peking University, Beijing 100191, China.
Sichuan Da Xue Xue Bao Yi Xue Ban. 2023 Jul;54(4):731-735. doi: 10.12182/20230760507.
The advent of the era of biomedical big data has helped promote the development of precision nursing. Precision nursing for chronic diseases in older adults is an interdisciplinary research field in which accurate individualized data are utilized to carry out early screening and health management of older adult populations at high risk for chronic diseases and early intervention of diseases, which plays an important role in improving the prognosis of diseases and the health level of the older adult population. Herein, we introduced the concept of precision nursing, and discussed the latest research findings in the key areas of precision nursing for chronic diseases in older adults, including precision symptom management in cancer patients and precision nursing in older patients with multimorbidity. At present, research concerning precise symptom management of cancer patients is mainly focused on prediction modelling for risks of symptoms, longitudinal change trajectories, core symptom identification, etc. Investigations in the precise nursing of cancer patients are conducted in the following areas, risk prediction, the timing of interventions, and intervention targets. Research on precision nursing for multimorbidity is mainly focused on assessment of chronic disease multimorbidity, multimorbidity pattern recognition, and health management of multimorbidity. We also discussed potential opportunities and challenges of precision nursing in the future, in order to provide a scientific basis for the improving the practice and theories of precision nursing. In the future, precision nursing will play an ever more important role in uncovering pathogenic information, the diagnosis and treatment of diseases, the health of the research population, and the promotion of medical research.
生物医学大数据时代的到来推动了精准护理的发展。老年人慢性病精准护理是一个跨学科研究领域,利用准确的个体化数据对慢性病高危老年人群进行早期筛查和健康管理以及疾病的早期干预,对改善疾病预后和提高老年人群健康水平具有重要作用。在此,我们介绍了精准护理的概念,并讨论了老年人慢性病精准护理关键领域的最新研究成果,包括癌症患者的精准症状管理和多病共存老年患者的精准护理。目前,关于癌症患者精准症状管理的研究主要集中在症状风险预测模型、纵向变化轨迹、核心症状识别等方面。对癌症患者精准护理的研究主要在风险预测、干预时机和干预靶点等领域展开。多病共存精准护理的研究主要集中在慢性病多病共存评估、多病共存模式识别和多病共存健康管理等方面。我们还讨论了精准护理未来潜在的机遇和挑战,以便为改进精准护理的实践和理论提供科学依据。未来,精准护理将在揭示致病信息、疾病诊疗、研究人群健康以及推动医学研究等方面发挥越来越重要的作用。