Emergency department visit classification using the NYU algorithm.
Am J Manag Care
; 20(4): 315-20, 2014 Apr.
Article
en En
| MEDLINE
| ID: mdl-24884862
ABSTRACT
OBJECTIVES:
Reliable measures of emergency department (ED) use are important for studying ED utilization and access to care. We assessed the association of emergent classification of an ED visit based on the New York University ED Algorithm (EDA) with hospital mortality and hospital admission. STUDYDESIGN:
Using diagnosis codes, we applied the EDA to classify ED visits into emergent, intermediate, and nonemergent categories and studied associations of emergent status with hospital mortality and hospital admissions.METHODS:
We used a nationally representative sample of patients with visits to hospital-based EDs from repeated cross sections of the National Hospital Ambulatory Medical Care Survey from 2006 to 2009. We performed survey-weighted logistic regression analyses, adjusting for year and patient demographic and socioeconomic characteristics, to estimate the association of emergent ED visits with the probability of hospital mortality or hospital admission.RESULTS:
The EDA measure of emergent visits was significantly and positively associated with mortality (odds ratio [OR] 3.79, 95% confidence interval [CI] 2.50-5.75) and hospital admission (OR 5.28, 95% CI, 4.93-5.66).CONCLUSIONS:
This analysis assessed the NYU algorithm in measuring emergent and nonemergent ED use in the general population. Emergent classification based on the algorithm was strongly and significantly positively associated with hospitalization and death in a nationally representative population. The algorithm can be useful in studying ED utilization and evaluating policies that aim to change it.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Clasificación Internacional de Enfermedades
/
Mortalidad Hospitalaria
/
Servicio de Urgencia en Hospital
/
Accesibilidad a los Servicios de Salud
Tipo de estudio:
Etiology_studies
/
Incidence_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Systematic_reviews
Aspecto:
Determinantes_sociais_saude
/
Equity_inequality
Límite:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
País/Región como asunto:
America do norte
Idioma:
En
Revista:
Am J Manag Care
Asunto de la revista:
SERVICOS DE SAUDE
Año:
2014
Tipo del documento:
Article