乳腺癌病人化疗期症状群及核心症状的网络研究

    A study of symptom clusters and core symptoms in patients undergoing postoperative chemotherapy for breast cancer

    • 摘要:
      目的: 调查乳腺癌病人化疗相关症状群组成及症状发生率,构建乳腺癌病人症状网络,识别网络中的核心症状。
      方法: 采用便利抽样法,选取234例乳腺癌病人作为调查对象,使用安德森症状评估量表调查症状发生现状,采用探索性因子分析提取症状群,通过软件R构建症状网络。
      结果: 乳腺癌病人化疗期发生率最高的4个症状是疲劳(88.9%)、健忘(82.4%)、口干(81.2%)、苦恼(75.2%);存在4个症状群,是胃肠道症状群(包括恶心、呕吐、疲劳、胃口差、口干、嗜睡)、睡眠相关症状群(包括健忘和睡眠不安)、情绪症状群(包括苦恼和悲伤)、麻木相关症状(包括麻木和疼痛);在症状群网络中,各症状群内强度最大症状是恶心(rs = 1.16)、睡眠不安(rs = 0.70)、苦恼(rs = 0.86)、疼痛(rs = 0.55)。
      结论: 乳腺癌化疗相关症状群内核心症状分别是恶心、睡眠不安、苦恼、疼痛,建议临床护理人员可基于核心症状为症状群干预靶点制定干预方案,提高症状管理的精准化和高效化。

       

      Abstract:
      Objective To investigate the composition and incidence of chemotherapy-related symptom clusters in breast cancer patients, construct a symptom network for breast cancer patients, and identify core symptoms within the network.
      Methods A convenient sampling method was used to select 234 breast cancer patients as survey subjects. The current status of symptom occurrence was investigated using the Anderson Symptom Assessment Scale. Symptom clusters were extracted using exploratory factor analysis, and the symptom network was constructed using software R.
      Results The four symptoms with the highest incidence during chemotherapy in breast cancer patients were fatigue (88.9%), forgetfulness (82.4%), dry mouth (81.2%), and distress (75.2%); there were four symptom clusters: gastrointestinal symptoms (including nausea, vomiting, fatigue, poor appetite, dry mouth, and somnolence), sleep-related symptoms (including forgetfulness and disturbed sleep), emotional symptoms (including distress and sadness), and numbness-related symptoms (including numbness and pain). In the symptom cluster network, the strongest symptoms within each cluster were nausea (rs = 1.16), disturbed sleep (rs = 0.70), distress (rs = 0.86), and pain (rs = 0.55).
      Conclusions The core symptoms within the breast cancer chemotherapy-related symptom clusters are nausea, disturbed sleep, distress, and pain. It is recommended that clinical nursing staff develop intervention plans based on these core symptoms as targets for symptom cluster intervention, to improve the precision and efficiency of symptom management.

       

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