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Assessment of Neurological Status in Patients with Cerebrovascular Diseases through the Nursing Outcome Classification: A Methodological Study

Authors :
Danielle Uehara de Lima
Rafaella Pessoa Moreira
Tahissa Frota Cavalcante
Renata Cristina Gasparino
Suellen Cristina Dias Emidio
Ana Railka de Souza Oliveira-Kumakura
Source :
Nursing Reports; Volume 12; Issue 1; Pages: 152-163
Publication Year :
2021

Abstract

Nurses play an important role in healthcare, and the Nursing Outcomes Classification is a key tool for the standardization of care. This study aims to validate the nursing outcome “Neurological Status” for patients with cerebrovascular diseases. A methodological study was performed in four phases. In Phase 1, the relevance of the indicators was evaluated by seven specialists and the modified kappa coefficient and content validity index were calculated. In Phase 2, conceptual and operational definitions were formulated. In addition, their content was validated with a focus group in Phase 3. In Phase 4, the results were applied in clinical practice and convergence with the National Institute of Health Stroke Scale was verified. The reliability was measured by Cronbach’s alpha. Of the 22 initial indicators, 6 were excluded. The focus group suggested changes in the definitions and the exclusion of two indicators. In Phase 4, only 13 indicators were validated due to the impossibility of measuring intracranial pressure. A strong correlation between the two scales and agreement among all the indicators were observed. Following the specialists’ review, the nursing outcome was reliable and clinically validated with 13 indicators: consciousness, orientation, language, central motor control, cranial sensory and motor function, spinal sensory and motor function, body temperature, blood pressure, heart rate, eye movement pattern, pupil size, pupil reactivity, and breathing pattern.

Details

ISSN :
20394403
Volume :
12
Issue :
1
Database :
OpenAIRE
Journal :
Nursing reports (Pavia, Italy)
Accession number :
edsair.doi.dedup.....ec0f792d1067c327d0f24e0ba758777c