Accuracy in inference of nursing diagnoses in heart failure patients.

Rev Bras Enferm

Departamento de Enfermagem Assistencial, Escola de Enfermagem Aurora de Afonso Costa, Universidade Federal Fluminense, Niterói, RJ, BR.

Published: August 2017

Unlabelled: Heart failure (HF) is a common cause of hospitalization and requires accuracy in clinical judgment and appropriate nursing diagnoses.

Objective: to determine the accuracy of nursing diagnoses of fatigue, intolerance to activity and decreased cardiac output in hospitalized HF patients.

Method: descriptive study applied to nurses with experience in NANDA-I and/or HF nursing diagnoses. Evaluation and accuracy were determined by calculating efficacy (E), false negative (FN), false positive (FP) and trend (T) measures. Nurses who showed acceptable inspection for two diagnoses were selected.

Results: the nursing diagnosis of fatigue was the most commonly mistaken diagnosis identified by the nursing evaluators.

Discussion: the search for improving diagnostic accuracy reaffirms the need for continuous and specific training to improve the diagnosis capability of nurses.

Conclusion: the training allowed the exercise of clinical judgment and better accuracy of nurses.

Download full-text PDF

Source
http://dx.doi.org/10.1590/0034-7167.2015680417iDOI Listing

Publication Analysis

Top Keywords

nursing diagnoses
12
heart failure
8
clinical judgment
8
accuracy
6
nursing
6
accuracy inference
4
inference nursing
4
diagnoses
4
diagnoses heart
4
failure patients
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!