Xuejiao Cao , Yue Zhou , Tang Li , Chennan Wang , Peixia Wu
{"title":"梅尼埃病患者的症状网络分析：在护理中的应用","authors":"Xuejiao Cao , Yue Zhou , Tang Li , Chennan Wang , Peixia Wu","doi":"10.1016/j.ijnss.2024.03.014","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>This study aimed to explore and visualize the relationships among multiple symptoms in patients with Meniere’s disease (MD) and aid clinical nurses in the design of accurate, individualized interventions.</p></div><div><h3>Methods</h3><p>This study included 790 patients with MD at the Eye and ENT Hospital of Fudan University from October 2014 to December 2021. A self-designed symptom checklist was used to assess 15 MD-related symptoms and construct contemporaneous networks with all 15 symptoms in R software. Qgraph package and Fruchterman-Reingold layout were used for network visualization. Bootstrapping methods were performed to assess network accuracy and stability, and three centrality indices were adopted to describe relationships among symptoms.</p></div><div><h3>Results</h3><p>Symptom networks showed good accuracy and stability. “Anxiety and nervousness”(98.2%), “aural fullness”(84.4%) and “tinnitus”(82.7%) were the common symptom in MD patients, while “tinnitus”, “aural fullness” and “decline in word recognition”, were more serious. MD patients with longer disease duration had higher prevalence and severity for all symptoms (<em>P</em> < 0.05). Symptom networks showed good accuracy and stability. “Decline in word recognition,” “fatigue,” and “anxiety and nervousness” were at the center of the symptom networks, which had the largest strength values and closeness. “Decline in word recognition,” “headache,” and “spatial discrimination and poor orientation” were the symptoms with the highest betweenness with the strongest bridging effect. The ≥1-year disease group exhibited higher centralities for “drop attack” and “anxiety and nervousness,” and a lower centrality for “headache” compared with the <1-year disease group.</p></div><div><h3>Conclusions</h3><p>The symptom networks of MD patients with varying disease durations were revealed. Clinicians and nurses must provide precision interventions tailored to modifying symptom severity and centrality. Nursing interventions should focus on word recognition issues and associated discomfort in MD patients with multiple symptoms.</p></div>","PeriodicalId":37848,"journal":{"name":"International Journal of Nursing Sciences","volume":"11 2","pages":"Pages 214-221"},"PeriodicalIF":2.9000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352013224000310/pdfft?md5=4982f59d01fe935f4538f9ab977c64fd&pid=1-s2.0-S2352013224000310-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Symptom networks analysis among people with Meniere’s disease: Application for nursing care\",\"authors\":\"Xuejiao Cao , Yue Zhou , Tang Li , Chennan Wang , Peixia Wu\",\"doi\":\"10.1016/j.ijnss.2024.03.014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><p>This study aimed to explore and visualize the relationships among multiple symptoms in patients with Meniere’s disease (MD) and aid clinical nurses in the design of accurate, individualized interventions.</p></div><div><h3>Methods</h3><p>This study included 790 patients with MD at the Eye and ENT Hospital of Fudan University from October 2014 to December 2021. A self-designed symptom checklist was used to assess 15 MD-related symptoms and construct contemporaneous networks with all 15 symptoms in R software. Qgraph package and Fruchterman-Reingold layout were used for network visualization. Bootstrapping methods were performed to assess network accuracy and stability, and three centrality indices were adopted to describe relationships among symptoms.</p></div><div><h3>Results</h3><p>Symptom networks showed good accuracy and stability. “Anxiety and nervousness”(98.2%), “aural fullness”(84.4%) and “tinnitus”(82.7%) were the common symptom in MD patients, while “tinnitus”, “aural fullness” and “decline in word recognition”, were more serious. MD patients with longer disease duration had higher prevalence and severity for all symptoms (<em>P</em> < 0.05). Symptom networks showed good accuracy and stability. “Decline in word recognition,” “fatigue,” and “anxiety and nervousness” were at the center of the symptom networks, which had the largest strength values and closeness. “Decline in word recognition,” “headache,” and “spatial discrimination and poor orientation” were the symptoms with the highest betweenness with the strongest bridging effect. The ≥1-year disease group exhibited higher centralities for “drop attack” and “anxiety and nervousness,” and a lower centrality for “headache” compared with the <1-year disease group.</p></div><div><h3>Conclusions</h3><p>The symptom networks of MD patients with varying disease durations were revealed. Clinicians and nurses must provide precision interventions tailored to modifying symptom severity and centrality. Nursing interventions should focus on word recognition issues and associated discomfort in MD patients with multiple symptoms.</p></div>\",\"PeriodicalId\":37848,\"journal\":{\"name\":\"International Journal of Nursing Sciences\",\"volume\":\"11 2\",\"pages\":\"Pages 214-221\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2352013224000310/pdfft?md5=4982f59d01fe935f4538f9ab977c64fd&pid=1-s2.0-S2352013224000310-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Nursing Sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352013224000310\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nursing Sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352013224000310","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
Symptom networks analysis among people with Meniere’s disease: Application for nursing care
Objectives
This study aimed to explore and visualize the relationships among multiple symptoms in patients with Meniere’s disease (MD) and aid clinical nurses in the design of accurate, individualized interventions.
Methods
This study included 790 patients with MD at the Eye and ENT Hospital of Fudan University from October 2014 to December 2021. A self-designed symptom checklist was used to assess 15 MD-related symptoms and construct contemporaneous networks with all 15 symptoms in R software. Qgraph package and Fruchterman-Reingold layout were used for network visualization. Bootstrapping methods were performed to assess network accuracy and stability, and three centrality indices were adopted to describe relationships among symptoms.
Results
Symptom networks showed good accuracy and stability. “Anxiety and nervousness”(98.2%), “aural fullness”(84.4%) and “tinnitus”(82.7%) were the common symptom in MD patients, while “tinnitus”, “aural fullness” and “decline in word recognition”, were more serious. MD patients with longer disease duration had higher prevalence and severity for all symptoms (P < 0.05). Symptom networks showed good accuracy and stability. “Decline in word recognition,” “fatigue,” and “anxiety and nervousness” were at the center of the symptom networks, which had the largest strength values and closeness. “Decline in word recognition,” “headache,” and “spatial discrimination and poor orientation” were the symptoms with the highest betweenness with the strongest bridging effect. The ≥1-year disease group exhibited higher centralities for “drop attack” and “anxiety and nervousness,” and a lower centrality for “headache” compared with the <1-year disease group.
Conclusions
The symptom networks of MD patients with varying disease durations were revealed. Clinicians and nurses must provide precision interventions tailored to modifying symptom severity and centrality. Nursing interventions should focus on word recognition issues and associated discomfort in MD patients with multiple symptoms.
期刊介绍：
This journal aims to promote excellence in nursing and health care through the dissemination of the latest, evidence-based, peer-reviewed clinical information and original research, providing an international platform for exchanging knowledge, research findings and nursing practice experience. This journal covers a wide range of nursing topics such as advanced nursing practice, bio-psychosocial issues related to health, cultural perspectives, lifestyle change as a component of health promotion, chronic disease, including end-of-life care, family care giving. IJNSS publishes four issues per year in Jan/Apr/Jul/Oct. IJNSS intended readership includes practicing nurses in all spheres and at all levels who are committed to advancing practice and professional development on the basis of new knowledge and evidence; managers and senior members of the nursing; nurse educators and nursing students etc. IJNSS seeks to enrich insight into clinical need and the implications for nursing intervention and models of service delivery. Contributions are welcomed from other health professions on issues that have a direct impact on nursing practice.
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