Correlation between classification in risk categories and clinical aspects and outcomes

Correlation between classification in risk categories and clinical aspects and outcomes

Title: Correlation between classification in risk categories and clinical aspects and outcomes;
Correlación de las categorías de clasificación de riesgo con aspectos clínicos y resultados;
Correlação das categorias de classificação de risco com aspectos clínicos e desfechos
Author Oliveira, Gabriella Novelli Autor UNIFESP Google Scholar
Vancini-Campanharo, Cassia Regina Autor UNIFESP Google Scholar
Lopes, Maria Carolina Barbosa Teixeira Autor UNIFESP Google Scholar
Barbosa, Dulce Aparecida Autor UNIFESP Google Scholar
Okuno, Meiry Fernanda Pinto Autor UNIFESP Google Scholar
Batista, Ruth Ester Assayag Autor UNIFESP Google Scholar
Abstract Objective: to correlate classification in risk categories with the clinical profiles, outcomes and origins of patients. Method: analytical cross-sectional study conducted with 697 medical forms of adult patients. The variables included: age, sex, origin, signs and symptoms, exams, personal antecedents, classification in risk categories, medical specialties, and outcome. The Chi-square and likelihood ratio tests were used to associate classifications in risk categories with origin, signs and symptoms, exams, personal antecedents, medical specialty, and outcome. Results: most patients were women with an average age of 44.5 years. Pain and dyspnea were the symptoms most frequently reported while hypertension and diabetes mellitus were the most common comorbidities. Classifications in the green and yellow categories were the most frequent and hospital discharge the most common outcome. Patients classified in the red category presented the highest percentage of ambulance origin due to surgical reasons. Those classified in the orange and red categories also presented the highest percentage of hospitalization and death. Conclusion: correlation between clinical aspects and outcomes indicate there is a relationship between the complexity of components in the categories with greater severity, evidenced by the highest percentage of hospitalization and death.
Keywords Triage
Emergency Medical Services
Emergency Nursing
Clinical Evolution
Protocols
User EmbracementEmergency
Pain
Language English
Date 2016
Published in Revista Latino-Americana De Enfermagem. Ribeirao preto, v. 24, p. UNSP e2842, 2016.
ISSN 1518-8345 (Sherpa/Romeo, impact factor)
Publisher Wiley
Extent UNSP e2842
Origin http://dx.doi.org/10.1590/1518-8345.1284.2842
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000396277500089
SciELO ID S0104-11692016000100439 (statistics in SciELO)
URI http://repositorio.unifesp.br/handle/11600/49261

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