Identification of Core Symptom Cluster in Patients With Digestive Cancer: A Network Analysis.

IF 2.4 3区 医学 Q1 NURSING
Cancer Nursing Pub Date : 2025-01-01 Epub Date: 2023-10-26 DOI:10.1097/NCC.0000000000001280
Ke Wang, Min Diao, Zhaoxia Yang, Jordan Tovera Salvador, Yihong Zhang
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Abstract

Background: A lack of identified core symptom clusters in digestive cancer patients hinders achieving precision symptom intervention. There are few studies on identifying digestive cancer symptom clusters based on network analysis.

Objectives: The aims of this study were to construct the symptom network of digestive cancer patients and identify the core symptom cluster.

Methods: A cross-sectional study was conducted among 202 digestive cancer patients. The Chinese version of the MD Anderson Symptom Inventory for gastrointestinal cancer scale was used to assess the symptoms by convenience sampling. R software was used to construct a symptom network and identify core symptom clusters. Edge weight and centrality difference tests were used to test the accuracy of core symptom cluster identification.

Results: The most common symptoms were distress, poor appetite, and sadness. The most serious symptoms were poor appetite, disturbed sleep, and fatigue. The core symptom cluster of the psychoemotional symptom group was distress, sadness, and numbness. The centrality index showed that the top 3 in strength were distress (Rs = 1.11), fatigue (Rs = 1.09), and sadness (Rs = 1.04). The edge weight difference test showed that the psychoemotional symptom group had high stability.

Conclusions: The psychoemotional symptoms of digestive cancer patients should be given priority for intervention. Network analysis must be extended to the symptom research of cancer patients as soon as possible to provide a scientific basis for symptom management.

Implications for practice: Nurses must perform comprehensive psychological and emotional assessments, initiate referrals for psychoemotional symptom management and psychological services, and administer pharmacologic and nonpharmacologic interventions to improve appetite loss in digestive cancer patients.

消化道癌症患者核心症状群的识别:网络分析。
背景:消化道癌症患者缺乏确定的核心症状群,阻碍了实现精确的症状干预。基于网络分析识别消化道癌症症状群的研究很少。目的:构建消化道癌症患者的症状网络,确定其核心症状群。方法:对202例消化道癌症患者进行横断面研究。采用中国版MD Anderson胃肠道癌症症状量表,采用方便抽样的方法对症状进行评估。使用R软件构建症状网络并识别核心症状聚类。边缘权重和中心性差异检验用于检验核心症状聚类识别的准确性。结果:最常见的症状是痛苦、食欲不振和悲伤。最严重的症状是食欲不振、睡眠紊乱和疲劳。精神情感症状组的核心症状群是痛苦、悲伤和麻木。中心性指数显示,力量前三名分别是痛苦(Rs=1.11)、疲劳(Rs=1.09)和悲伤(Rs=1.04)。边缘权重差异检验显示,心理情绪症状组具有较高的稳定性。结论:消化道癌症患者的心理情绪症状应优先进行干预。网络分析必须尽快推广到癌症患者的症状研究中,为症状管理提供科学依据。实践意义:护士必须进行全面的心理和情绪评估,开始转诊进行心理情绪症状管理和心理服务,并实施药物和非药物干预,以改善消化道癌症患者的食欲下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Nursing
Cancer Nursing 医学-护理
CiteScore
4.80
自引率
3.80%
发文量
244
审稿时长
6-12 weeks
期刊介绍: Each bimonthly issue of Cancer Nursing™ addresses the whole spectrum of problems arising in the care and support of cancer patients--prevention and early detection, geriatric and pediatric cancer nursing, medical and surgical oncology, ambulatory care, nutritional support, psychosocial aspects of cancer, patient responses to all treatment modalities, and specific nursing interventions. The journal offers unparalleled coverage of cancer care delivery practices worldwide, as well as groundbreaking research findings and their practical applications.
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