Infecciones respiratorias superiores virales en una central de emergencias: estudio de cohorte retrospectiva / Upper respiratory tract infection on an Emergency Department: retrospective cohort

Estimar la frecuencia de cuadro de vías aéreas superiores (CVAS) como motivo de consulta no programada, describir el proceso de atención y explorar la variación tras la implementación de una nueva estrategia de gestión para la atención, así como el efecto en los indicadores de calidad y seguridad de atención. Cohorte retrospectiva que incluyó consultas por CVAS entre 01/01/2015 y 31/12/2016 de Demanda Espontánea (consultas de baja complejidad de la Central de Emergencia de Adultos), en el Hospital Italiano de Buenos Aires. La prevalencia global del período 2015-2016 resultó 12,01% (21.581/179.597). La intervención múltiple, resultó efectiva en términos de disminución de estudios complementarios (19% antes y 17% después con p=0,001), disminución de laboratorios (9% antes y 8% después con p=0,009), y reducción del tiempo de atención (media de 51 minutos antes y 42 minutos después, con p=0,001). No hubo diferencias significativas en la incidencia acumulada de reconsultas a los 7 días (12,72% antes y 13,11% después con p=0,400) ni en la tasa de internaciones a los 7 días (0,42% antes y 0,38% después con p=0,651) desde la consulta índice (primer consulta en guardia). En un sistema sobresaturado, se requiere fortalecer los sistemas de atención primaria que conforman la puerta de entrada de la salud para garantizar la correcta utilización de los recursos disponibles, la solicitud de estudios apropiados y la indicación correcta de antibióticos. Muchas lecciones aprendidas facilitaron la organización y la reestructuración necesarias durante la pandemia COVID-19 (AU)

To estimate upper respiratory tract infection (URTI) frequency as a reason for unscheduled consultation, to describe the care process and to explore the variation after the implementation of a new management strategy for care, as well as the effect on quality and security indicators of care. Retrospective cohort which included consecutive consultations by URTI between 01/01/2015 and 12/31/2016 for ambulatory clinic (low complexity consultations at the Emergency Department), at the Hospital Italiano de Buenos Aires. The prevalence for the period 2015-2016 was 12.01% (21,581/179,597). The multiple intervention was effective in terms of reduction of complementary studies (19% before and 17% after; p =0.001), reduction of laboratories (9% before and 8% after; p=0.009), and reduction of attention time (mean of 51 minutes before and 42 minutes after; p=0.001). During the follow up, there were no significant differences in the cumulative incidence of reconsultations at 7 days (12.72% before and 13.11% after; p=0.400) or in the rate of hospitalizations at 7 days (0.42% before and 0.38% after; p=0.651) from the index consultation. In an overcrowded system, it is necessary to strengthen the primary care systems that make up the gateway to health to guarantee the correct use of available resources, the request for appropriate studies and the correct indication of antibiotics. Many lessons learned facilitated the organization and restructuring of the Emergency Department needed during the COVID-19 pandemic (AU)

Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva / Analysis of Crowding in an Adult Emergency Department of a tertiary university hospital

Background: Crowding in Emergency Departments (ED), results from the imbalance between the simultaneous demand for health care and the ability of the system to respond. The NEDOCS scale (National Emergency Department Crowding Scale) measures the degree of crowding in an ED. Aim: To describe ED Crowding characteristics, using the NEDOCS scale, in an Argentinean hospital. Material and Methods: A retrospective cohort study was conducted with all adult patient consultations between July 2013 and July 2014 at the ED of Hospital Italiano de Buenos Aires. We included all hours in the analysis period (365 days x 24 h = 8,760). The NEDOCS value was calculated for each hour using an automatic algorithm and was quantified in a six points score. Levels 4 (overcrowded), 5 (severely overcrowded) and 6 (dangerously overcrowded) were defined as overcrowding. Contour plots analysis was applied to identify patterns. Results: During the study period, 124,758 visits to the ED were registered. Overcrowding was present in 57.7% (5,055) of the analyzed hours. A predominance of scores between four and five was observed between 10:00 and 24:00 hours. The months with predominance of overcrowding were June, July and August (southern winter). Conclusions: The calculation of the NEDOCS score and the analysis of its temporal distribution are highly relevant to identify opportunities for improvement and to develop mechanisms to prevent the highest categories of overcrowding.