Journal Information
Vol. 8. Issue 43.
Pages 180-188 (July - August 1994)
Vol. 8. Issue 43.
Pages 180-188 (July - August 1994)
Open Access
Variaciones del tiempo de estancia postoperatoria según las características de los pacientes en un servicio de cirugía general
Variation in Length of Postoperative Stay Related to Patient Characteristics in a General Surgery Unit
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R.E. Jiménez Paneque*, Á.R. Gutiérrez Rojas, H. Fariñas Seijas, N. Suárez García, E. Fuentes Valdés
Hospital Clínico Quirúrgico “Hermanos Ameijeiras”, Ciudad de la Habana. Cuba
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Resumen

Con el objetivo de identificar factores determinantes en la variación de la estancia postoperatoria en un servicio de Cirugía general, se recogió información de 666 historias clínicas de pacientes dados de alta vivos. Se evaluaron factores relacionados con la intervención, con la gravedad del diagnóstico principal, con el equipo médico de asistencia y características sociodemográficas del paciente. El análisis estadístico comprendió análisis de la varianza y regresión lineal múltiple. Las variables con coeficiente de regresión estadísticamente significativo (p<0,001) fueron, en orden de importancia: la gravedad de las complicaciones, el tipo de intervención, la necesidad de reintervención y la seriedad del diagnóstico principal. El 67% de la variación de la estancia fue explicada por las variables incluidas. Los resultados permiten sugerir un procedimiento evaluativo que contemple características de los pacientes y de la intervención quirúrgica.

Palabras clave:
Estancia médica
Revisión de la utilización
Summary

With the purpose of identifying factors that explain variations in length of postoperative stay in a general Surgery Unit, information from 666 clinical records of discharged alive patients was collected. Factors related to the surgical procedure, the severity of the disease and the medical team together with sociodemographic characteristics of the patients were analyzed. Statistical analysis was based on analysis of variance and multiple linear regression. Variables with statistically significant regression coefficients (p<0.001) were in this order: severity of complications, type of intervention, need for reintervention and severity of diagnosis. Sixty seven percent of length of stay variation was explained by the included variables. Results allow to suggest an evaluation procedure which takes into account patient and operation characteristics.

Key words:
Length of Stay
Utilization Review
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Copyright © 1994. Sociedad Española de Salud Pública y Administración Sanitaria
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