基于神经语言程序技术的支持性照护在乳腺癌相关淋巴水肿及负性情绪干预中的应用
Application of Supportive Care Based on Neuro-Linguistic Programming Technology in Breast Cancer-Associated Lymphedema and Negative Emotional Intervention

目的：探索基于神经语言程序(neuro-linguistic programming, NLP)技术的支持性照护在乳腺癌相关淋巴水肿及负性情绪干预的应用效果。方法：选择2018年1月~2019年6月在我院行改良根治术的乳腺癌患者40例，所有患者随机分为观察组和对照组，每组各20例。对照组患者采用常规护理方法，而观察组患者在对照组的基础上应用基于NLP技术的支持性照护。组建支持性照护团队，制定各自职责，完善工作流程。团队在患者治疗期及随访期，从生理、心理及社会需求层面全方位，行支持性照护，并对支持性照护实践方法及效果进行总结分析。结果：观察组患者术后1月和3月，焦虑、抑郁发生率明显低于对照组，发生程度也明显低于对照组。观察组患者术后1月和3月社交回避、自尊水平发生率明显低于对照组，差异均有统计学意义(P < 0.05)。观察组患者术后1月和3月，上肢淋巴水肿发生率明显低于对照组，发生程度也明显轻于对照组。结论：基于NLP技术的支持性照护明显降低乳腺癌患者焦虑、抑郁的发生及程度，同时降低上肢淋巴水肿的发生，因此基于NLP技术的支持下照顾在乳腺癌相关淋巴水肿及负性情绪干预中的应用模式值得借鉴推广。
Objectives: To explore the effect of supportive care based on neuro-linguistic programming (NLP) technology on breast cancer-associated lymphedema and negative emotion intervention. Methods: From January 2018 to June 2019, forty breast cancer patients who underwent modified radical mastectomy in our hospital were enrolled into this study. All patients were randomly divided into observational group and control group, 20 cases in each group. The patients in the control group received routine nursing care, while the patients in the observational group received supportive care based on NLP technology on the basis of the control group. We established a supportive care team, developed their respective responsibilities, and improved the workflow. During the treatment and follow-up period, the team carried out supportive care from the aspects of physiological, psychological and social needs, and summarized and analyzed the practice methods and effects of supportive care. Results: The incidences of anxiety and depression in the observational group were significantly lower than those in the control group one month and three months after operation, and the degree of occurrence was also significantly lower than that in the control group. The incidences of social avoidance and self-esteem in the observation group were significantly lower than those in the control group in 1 and 3 months after operation (P < 0.05). The incidences of upper limb lymphedema in the observation group were significantly lower than those in the control group in 1 month and 3 months after operation, and the degree of occurrence was also significantly lighter than that in the control group. Conclusion: Supportive care based on NLP technology can significantly reduce the incidence and degree of anxiety and depression in breast cancer patients, and also reduce the incidence of upper limb lymphedema. Therefore, the application model of supportive care based on NLP technology in lymphedema and negative emotion intervention of breast cancer patients after operation is worthy of reference and