护理与康复2024,Vol.23Issue(12) :1-6.DOI:10.3969/j.issn.1671-9875.2024.12.001

胃癌患者术后多维症状体验的同期症状网络分析

Analysis of the contemporaneous network of multidimensional symptom experiences in patients with gastric cancer after surgery

葛娇宇 王锦毓 梁冠冕 王杉珊 潘红英
护理与康复2024,Vol.23Issue(12) :1-6.DOI:10.3969/j.issn.1671-9875.2024.12.001

胃癌患者术后多维症状体验的同期症状网络分析

Analysis of the contemporaneous network of multidimensional symptom experiences in patients with gastric cancer after surgery

葛娇宇 1王锦毓 2梁冠冕 2王杉珊 2潘红英1
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作者信息

  • 1. 浙江大学医学院附属邵逸夫医院,浙江 杭州 310016
  • 2. 浙江省肿瘤医院,浙江 杭州 310022
  • 折叠

摘要

目的 建立胃癌患者术后多维症状体验的同期症状网络,探讨症状网络重要指标,挖掘核心症状并分析症状之间的关联性.方法 采用便利抽样法,选取2024年1月至4月浙江省肿瘤医院胃外科收治的269例胃癌术后患者为研究对象.采用中文版安德森症状评估量表胃肠模块调查胃癌患者的症状发生情况,用R软件构建同期症状网络,计算网络相关指标,并进行稳定性、准确性检验,分析中心性指标,计算节点的可预测性,探索核心症状.结果 胃癌患者术后同期症状网络的网络密度为15.170,强度中心性的相关稳定性系数为0.589,中介中心性的相关稳定性系数为0.291,网络的稳定性和准确性良好,节点的可预测性高,呕吐和疲乏是胃癌患者术后的两大核心症状,其中呕吐(rs=2.424)强度中心性最大,疲乏(rb=1.945,rc=1.548)中介中心性和紧密中心性最大.结论 胃癌患者术后存在多维症状,医护人员在考虑症状发生率和严重程度的基础上,应重点关注症状网络中的核心症状及可预测性高的症状,并尽早实施精准的干预措施,提高症状管理效率.

Abstract

Objective To establish a contemporaneous network for multidimensional symptom experiences in patients with gastric cancer after surgery,explore important indicators of the symptom network,identify the core symptoms,and ana-lyze the associations between symptoms.Methods Using the convenience sampling method,269 patients with gastric cancer after surgery admitted to the Department of Gastric Surgery at Zhejiang Cancer Hospital from January to April 2024 were selected as the research subjects.The Chinese version of the MD Anderson Symptom Inventory Gastrointestinal Cancer Mo-dule was used to investigate symptom occurrence in gastric cancer patients.The R software was employed to construct the contemporaneous network,calculate network-related indicators,conduct stability and accuracy tests,analyze centrality indica-tors,calculate node predictability,and explore core symptoms.Results The density of the contemporaneous network in pa-tients with cancer after surgery was 15.170.The correlation stability coefficient for strength centrality was 0.589,and for betweenness centrality,it was 0.291.The network demonstrated good stability and accuracy,with nodes showing high pre-dictability.Vomiting and fatigue emerged as the two core symptoms in gastric cancer patients after surgery.Specifically,vomiting(rs=2.424)had the highest strength centrality,while fatigue(rb=1.945,rc=1.548)had the highest betweenness and closeness centrality.Conclusion Patients with gastric cancer after surgery exhibit multidimensional symptoms.Clinicians should consider the incidence and severity of symptoms and prioritize core and highly predictable symptoms within the symp-tom network to implement targeted intervention measures promptly,thereby enhancing the efficiency of symptom management.

关键词

胃癌/症状管理/网络分析/症状网络/护理

Key words

gastric cancer/symptom management/network analysis/symptom network/nursing

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出版年

2024
护理与康复
浙江省护理学会

护理与康复

影响因子:1.174
ISSN:1671-9875
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