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Acad Emerg Med ; 18(12): 1386-91, 2011 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-22168203

RESUMO

OBJECTIVES: This was a point-prevalence study designed to quantify the magnitude of emergency department (ED) overcrowding and inpatient boarding. Every ED in Michigan was surveyed at a single point in time on a Monday evening. Given the high patient volumes on Monday evenings, the effect on inpatient boarding the next morning was also reviewed. METHODS: All 134 EDs within the state of Michigan were contacted and surveyed on Monday evening, March 16, 2009, over a single hour and again the following morning. Questions included data on annual census, bed number, number of admitted patients within the ED, ambulance diversion, and ED length of stay. RESULTS: Data were obtained from 109 of the 134 (81%) hospitals on Monday evening and 99 (74%) on Tuesday morning. There was no difference in annual visits or ED size between participating and nonparticipating EDs. Forty-seven percent of EDs were boarding inpatients on Monday evening, compared with 30% on Tuesday morning. The mean estimated boarding times were 3.7 hours (Monday evening) and 7.2 hours (Tuesday morning). Twenty-four percent of respondents met the definition of overcrowded during sampling times. There was a significant relationship between inpatient boarding and ED overcrowding (p < 0.001). Only three EDs were actively diverting ambulances. CONCLUSIONS: In this study on a single Monday evening, 47% of EDs in Michigan were actively boarding inpatients, while 24% were operating beyond capacity. On the following morning (Tuesday), EDs had fewer boarded inpatients than on Monday evening. However, these boarded inpatients remained in the ED for a significantly longer duration.


Assuntos
Ocupação de Leitos/estatística & dados numéricos , Aglomeração , Serviço Hospitalar de Emergência/estatística & dados numéricos , Pacientes Internados/estatística & dados numéricos , Feminino , Humanos , Tempo de Internação , Masculino , Michigan , Admissão do Paciente/estatística & dados numéricos , Qualidade da Assistência à Saúde , Medição de Risco , Fatores de Tempo
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