Beatriz Medeiros de Macêdo Master in Nursing, Anna Thays Dias Almeida Master in Nursing, Ana Carolina Costa Carino Doctoral student in Nursing, Maria Isabel da Conceição Dias Fernandes PhD in Nursing, Jéssica Dantas de Sá Tinôco PhD in Nursing, Isadora Costa Andriola PhD in Nursing, Marcos Venícios de Oliveira Lopes PhD in Nursing, Ana Luisa Brandão de Carvalho Lira PhD in Nursing
{"title":"Fatigue in patients with heart failure: A study of diagnostic accuracy fatigue in patients with heart failure","authors":"Beatriz Medeiros de Macêdo Master in Nursing, Anna Thays Dias Almeida Master in Nursing, Ana Carolina Costa Carino Doctoral student in Nursing, Maria Isabel da Conceição Dias Fernandes PhD in Nursing, Jéssica Dantas de Sá Tinôco PhD in Nursing, Isadora Costa Andriola PhD in Nursing, Marcos Venícios de Oliveira Lopes PhD in Nursing, Ana Luisa Brandão de Carvalho Lira PhD in Nursing","doi":"10.1111/2047-3095.12448","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>To analyze the accuracy of defining characteristics of the NANDA International nursing diagnosis, fatigue (00093), in patients with heart failure.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A cross-sectional study on the diagnostic accuracy of the defining characteristics of the nursing diagnosis. The sample consisted of 96 patients with heart failure in treatment in a public hospital. The latent class analysis method was used to test the accuracy measurements and estimate the prevalence of the diagnosis. The study was approved by the Research Ethics Committee of the Federal University of Rio Grande do Norte.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The prevalence of the fatigue nursing diagnosis was 42.54%. Increased physical symptoms (0.9988) and tiredness (0.9988) were the sensitive defining characteristics. Disinterested in surroundings (0.9999) was the specific defining characteristics.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>A set of three defining characteristics of the nursing diagnosis of fatigue was accurate in patients with heart failure. Thus, this set can be used by nurses to confirm nursing diagnosis fatigue in patients with heart failure.</p>\n </section>\n \n <section>\n \n <h3> Implications for nursing practice</h3>\n \n <p>This research contributes by providing accurate defining characteristics of fatigue in patients with heart failure. Thus, nurses should recognize the nursing diagnosis of fatigue in patients with heart failure through accurate defining characteristics and propose rapid and effective nursing interventions that have positive health results.</p>\n </section>\n </div>","PeriodicalId":49051,"journal":{"name":"International Journal of Nursing Knowledge","volume":"35 4","pages":"319-323"},"PeriodicalIF":1.4000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nursing Knowledge","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/2047-3095.12448","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NURSING","Score":null,"Total":0}
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Abstract
Purpose
To analyze the accuracy of defining characteristics of the NANDA International nursing diagnosis, fatigue (00093), in patients with heart failure.
Methods
A cross-sectional study on the diagnostic accuracy of the defining characteristics of the nursing diagnosis. The sample consisted of 96 patients with heart failure in treatment in a public hospital. The latent class analysis method was used to test the accuracy measurements and estimate the prevalence of the diagnosis. The study was approved by the Research Ethics Committee of the Federal University of Rio Grande do Norte.
Results
The prevalence of the fatigue nursing diagnosis was 42.54%. Increased physical symptoms (0.9988) and tiredness (0.9988) were the sensitive defining characteristics. Disinterested in surroundings (0.9999) was the specific defining characteristics.
Conclusions
A set of three defining characteristics of the nursing diagnosis of fatigue was accurate in patients with heart failure. Thus, this set can be used by nurses to confirm nursing diagnosis fatigue in patients with heart failure.
Implications for nursing practice
This research contributes by providing accurate defining characteristics of fatigue in patients with heart failure. Thus, nurses should recognize the nursing diagnosis of fatigue in patients with heart failure through accurate defining characteristics and propose rapid and effective nursing interventions that have positive health results.
期刊介绍：
The International Journal of Nursing Knowledge, the official journal of NANDA International, is a peer-reviewed publication for key professionals committed to discovering, understanding and disseminating nursing knowledge.
The Journal aims to clarify the knowledge base of nursing and improve patient safety by developing and disseminating nursing diagnoses and standardized nursing languages, and promoting their clinical use. It seeks to encourage education in clinical reasoning, diagnosis, and assessment and ensure global consistency in conceptual languages.
The International Journal of Nursing Knowledge is an essential information resource for healthcare professionals concerned with developing nursing knowledge and /or clinical applications of standardized nursing languages in nursing research, education, practice, and policy.
The Journal accepts papers which contribute significantly to international nursing knowledge, including concept analyses, original and applied research, review articles and international and historical perspectives, and welcomes articles discussing clinical challenges and guidelines, education initiatives, and policy initiatives.
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