Application of Supportive Care Based on Neuro-Linguistic Programming Technology in Breast Cancer-Associated Lymphedema and Negative Emotional Intervention

Abstract

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 promotion.