Banca de DEFESA: JULIANE RANGEL DANTAS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : JULIANE RANGEL DANTAS
DATE: 20/12/2019
TIME: 09:00
LOCAL: Departamento de Enfermagem
TITLE:

Accuracy of nursing diagnosis Ineffective airway clearance in patients admitted to intensive care units


KEY WORDS:

Nursing; Nursing diagnosis; Intensive treatment unit; Respiratory system; Adult


PAGES: 80
BIG AREA: Ciências da Saúde
AREA: Enfermagem
SUMMARY:

        The nursing diagnosis Airway clearance is common in critically ill patients admitted to the intensive care unit. The adequate inference of this diagnosis becomes necessary to provide more qualified nursing care. Thus, the present study aims to analyze the accuracy measures of clinical tests to diagnose airway clearance in adult patients admitted to intensive care units. Cross-sectional diagnostic accuracy study. One sample consisted of 104 critically ill patients, who were selected by convenience, consecutively trained in a university hospital in northeastern Brazil. The data collection instrument was a structured script of interview and physical examination, applied from June to October 2019. An accuracy of the clinical indicators of the associated diagnostic test through latent class analysis. The study was approved by the Research Ethics Committee of the responsible institution, under opinion number 3,241,219 and Certificate of Presentation for Ethical Appraisal 09901619.0.0000.5537. The results indicate a prevalence of 36.54% of the diagnosis Airway clearance in the investigated clientele. Clinical indicators applicable to the diagnosis were: Change in respiratory rate; Change in breathing pattern; Absence of cough; Orthopnea; Adventitious noises and decreased breathing sounds. The indicators used were: Change in respiratory rate and Change in breathing pattern. It can be concluded that the clinical indicators Respiratory Changes and Respiratory Pattern Changes show better precision measures for nursing diagnosis inference. Airway clearance in adult patients admitted to intensive care units. Moreover, the results contributed to the process of accurate diagnostic inference of the nurse until the end of improving nursing care to sick patients.


BANKING MEMBERS:
Presidente - 1675334 - ANA LUISA BRANDAO DE CARVALHO LIRA
Interna - 347971 - BERTHA CRUZ ENDERS
Externa à Instituição - HELEN CRISTINY TEODORO COUTO RIBEIRO - UFSJ
Externa à Instituição - MARIA ISABEL DA CONCEICAO DIAS FERNANDES - UERN
Notícia cadastrada em: 09/12/2019 10:07
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