[Factors determining inappropriate days of stay in a third-level hospital]. / Factores determinantes de la estancia inadecuada en un hospital de tercer nivel.

BACKGROUND: To identify the factors associated with a higher risk of inappropriate days of stay. MATERIAL AND METHOD: Crude and adjusted inappropriateness rates were calculated using negative binomial regression to obtain information about the relative risk of each variable. The Appropriateness Evaluation Protocol (AEP) was applied to collect information about patients' hospital stays. RESULTS: A total of 34.17% (95%CI, 33.28-35.08) of the stays were inappropriate. Women, age older than 65 years, elective admission, and stays in medical services showed the highest inappropriateness risk. Lack of correct patient follow-up in the medical record increased the risk of inappropriateness to 36%. CONCLUSIONS: Lack of continual registration of the patient's clinical course increased the risk of inappropriate days of stay in the hospital. The use of the negative binomial is a valid and simple option for analysis of this type of phenomenon.

Factores determinantes de la estancia inadecuada en un hospital de tercer nivel / Factors determining inappropriate days of stay in a third-level hospital

Introducción: Identificar los factores asociados a un mayor riesgo de estancias inadecuadas. Material y método: Se calcularon las tasas crudas y ajustadas de inadecuación mediante regresión binomial negativa, obteniéndose los riesgos relativos para distintas variables. La recogida de datos se realizó mediante el Appropriateness Evaluation Protocol. Resultados: El 34,17% (intervalo de confianza del 95%, 33,28-35,08) de las estancias fueron inadecuadas. Las mujeres, los mayores de 65 años, los ingresos programados y las estancias en servicios médicos tuvieron más riesgo de inadecuación. La ausencia en la historia clínica de un seguimiento continuado del paciente incrementa el riesgo de inadecuación un 36%. Conclusiones: La ausencia de un registro continuado de la evolución clínica del paciente es un factor que incrementa el riesgo de estancias inadecuadas. La utilización de la binomial negativa es una alternativa válida y sencilla para el análisis de este tipo de fenómenos

Background: To identify the factors associated with a higher risk of inappropriate days of stay. Material and method: Crude and adjusted inappropriateness rates were calculated using negative binomial regression to obtain information about the relative risk of each variable. The Appropriateness Evaluation Protocol (AEP) was applied to collect information about patients' hospital stays. Results: A total of 34.17% (95%CI, 33.28-35.08) of the stays were inappropriate. Women, age older than 65 years, elective admission, and stays in medical services showed the highest inappropriateness risk. Lack of correct patient follow-up in the medical record increased the risk of inappropriateness to 36%. Conclusions: Lack of continual registration of the patient's clinical course increased the risk of inappropriate days of stay in the hospital. The use of the negative binomial is a valid and simple option for analysis of this type of phenomenon