• Frédéric Capuano, Anne-Sophie Lot, Christine Sagnes-Raffy, Marie Ferrua, Dominique Brun-Ney, Henri Leleu, Dominique Pateron, Guillaume Debaty, Marc Giroud, Etienne Minvielle, and Bruno Riou.
• aManagement in Health Services Research Department, Ecole des Hautes Etudes en Santé Publique (EHESP), Institut Gustave Roussy, Villejuif bObservatoire des Urgences Midi-Pyrénées (ORU-MiP), Toulouse cMedical Headquarter, Assistance-Publique Hôpitaux de Paris (APHP) dEmergency Department, Centre Hospitalo-Universitaire (CHU) Saint Antoine, APHP, Université Pierre et Marie Curie (UPMC), Paris eEmergency Department, CHU Pitié-Salpêtrière, APHP, UPMC, Paris fPrehospital Emergency Department, SAMU 38, CHU de Grenoble, Grenoble gPrehospital Emergency Department, SAMU 95, Hôpital de Pontoise, Pontoise, France.
• Eur J Emerg Med. 2015 Apr 1;22(2):92-8.

ObjectivesThe length of stay in the emergency department (ED) has been proposed as an indicator of performance in many countries. We conducted a survey of length of stay in two large areas in France and tested the hypothesis that patient and ED-related variables may influence it.Patients And MethodsDuring 2007, we examined lengths of stay in ambulatory patients, that is, excluding admitted patients. The following variables were considered: (a) at the patient level, age, sex, the day and month of the visit, and the French clinical classification of emergency patients (CCEP) class; (b) at the ED level, annual ED total number of visits, mean age, the proportions of patients less than 15 and more than 75 years, and the proportions of admitted and clinically stable patients with CCEP class 1 and 2. A multilevel hierarchical analysis was carried out.ResultsWe analyzed 988 591 visits in 53 EDs. The ED-specific median length of stay was 98 (IQR: 62-137) min and the ED-specific median proportion of patients with length of stay of more than 4 h was 15 (5-24) %. There was a strong correlation between the ED-specific median length of stay and the ED-specific proportion of patients with a length of stay of more than 4 h (R=0.96, P<0.001). Using a multilevel analysis, only three variables were associated significantly with the length of stay: the age and the CCEP class of the patient, and the ED census.ConclusionWe observed that the length of stay in the ED needs to be stratified by case mix and the total number of visits of the ED.

30 keywords...

hide…