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J Emerg Med ; 66(5): e581-e588, 2024 May.
Artículo en Inglés | MEDLINE | ID: mdl-38553364

RESUMEN

BACKGROUND: Emergency medical services (EMS) transporting patients to the emergency department (ED) typically call ahead to provide an estimated time to arrival (ETA). Accurate ETA facilitates ED preparation and resource allotment in anticipation of patient arrival. OBJECTIVE: The study purposed to determine the accuracy of ETA provided by EMS ground units. METHODS: We performed a single-center, prospective, observational study of ED patients arriving via EMS ground transport. The primary outcome was the time difference between EMS-reported ETA and actual time of arrival (ATA). The difference between ATA and ETA was compared using the two-sided Wilcoxon Signed-Rank Test. Subgroup analysis was performed to evaluate ETA accuracy for specific types of transports and assess variability by month and time of day. RESULTS: We included 1176 patient transports in the final analysis. The overall median difference ATA-ETA was 3 min (interquartile range 1-5 min) with a range of -26-48 minutes (Z = -25.139, p < 0.001). EMS underestimated ETA in 961 cases (81.7%), and 94 ETAs (8.0%) were accurate to within 1 min. The largest difference between ATA and ETA occurred between 07:00-07:59 and 16:00-16:59 (5 min, interquartile range 2-7). CONCLUSION: Our data demonstrate that prehospital providers underestimate time to ED arrival in most ground transports; however, the median difference between estimated and actual time to arrival is small.


Asunto(s)
Servicios Médicos de Urgencia , Servicio de Urgencia en Hospital , Transporte de Pacientes , Humanos , Estudios Prospectivos , Servicio de Urgencia en Hospital/organización & administración , Servicio de Urgencia en Hospital/estadística & datos numéricos , Servicios Médicos de Urgencia/normas , Servicios Médicos de Urgencia/métodos , Servicios Médicos de Urgencia/estadística & datos numéricos , Factores de Tiempo , Masculino , Femenino , Transporte de Pacientes/normas , Transporte de Pacientes/métodos , Transporte de Pacientes/estadística & datos numéricos , Persona de Mediana Edad , Adulto , Anciano
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