BackgroundCrowding occurs commonly in high volume emergency departments (ED) and has been associated with negative patient care outcomes. We aim to assess ED crowding in a median-low volume setting and evaluate associations with patient care outcomes.MethodsThis was a prospective single-center study from November 14, 2016 until December 14, 2016. ED crowding was measured every 2 h by three different estimation tools: National Emergency Department Overcrowding Score (NEDOCS); Community Emergency Department Overcrowding Score (CEDOCS); and Severely-overcrowding Overcrowding and Not-overcrowding Estimation Tool (SONET) categorized under six different levels of crowding (not busy, busy, extremely busy, overcrowded, severely overcrowded, and dangerously overcrowded). Crowding scores were assigned to each patient upon ED arrival. We evaluated the distributions of crowding and patient ED length of stay (ED LOS) across estimation tools. Accelerated failure time models were utilized to estimate time ratios and their corresponding 95% confidence intervals comparing median LOS across levels of crowding within each estimation tool.ResultsThis study comprised 2,557 patients whose median ED LOS was 150 min. Approximately 2% of patients arrived during 2 h time intervals deemed overcrowded regardless of the crowding tool used. Median ED LOS increased with the increased level of ED crowding and prolonged median ED LOS (> 150 min) occurred at ED of extremely busy status. Time ratios ranged from 1.09 to 1.48 for NEDOCS, 1.25 - 1.56 for CEDOCS, and 1.26 - 1.72 for SONET.ConclusionOvercrowding rarely occurred in study ED with median-low annual volume and might not be a valuable marker for ED crowding report. Though similar patterns of prolonged ED LOS occurred with increased levels of ED crowding, it seems crowding alerts should be initiated during extremely busy status in this ED setting.
Background and ObjectiveSeveral studies report poorer quality healthcare for patients presenting at weekends. Our objective was to examine how timely surgery for patients with hip fracture varies with day and time of their presentation.MethodsThis population-based cohort study used 2017 data from the National Hip Fracture Database, which recorded all patients aged 60 years and over who presented with a hip fracture at a hospital in England, Wales and Northern Ireland. Provision of prompt surgery (surgery within 36 hours of presentation) was examined, using multivariable logistic regression with generalised estimating equations to derive adjusted risk ratios (RRs). Time was categorised into three 8-hour intervals (day: 08:00–15:59, evening: 16:00–23:59 and night: 00:00–07:59) for each day of the week. The model accounted for clustering by hospital and was adjusted by sex, age, fracture type, operation type, American Society of Anesthesiologists grade, preinjury mobility and location.ResultsWe studied 68 977 patients from 177 hospitals. The average patient presenting during the day on Friday or Saturday was significantly less likely to undergo prompt surgery (Friday during 08:00–15:59, RR=0.93, 95% CI 0.91 to 0.96; Saturday during 08:00–15:59, RR=0.91, 95% CI 0.88 to 0.94) than patients in the comparative category (Thursday, during the day). Patients presenting during the evening (16:00–23:59) were consistently significantly less likely to undergo prompt surgery, and the effect was more marked on Fridays and Saturdays (Friday during 16:00-23:59, RR=0.83, 95% CI 0.80 to 0.85; Saturday during 16:00–23:59, RR=0.81, 95% CI 0.78 to 0.85). Patients presenting overnight (00:00–07:59), except on Saturdays, were significantly more likely to undergo surgery within 36 hours (RR>1.07).ConclusionThe provision of prompt hip fracture surgery was complex, with evidence of both an ‘evening’ and a ‘night’ effect. Investigation of weekly variation in hip fracture care is required to help implement strategies to reduce the variation in timely surgery throughout the entire week.
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