Bedside Teaching on Time to Disposition Improves Length of Stay for Critically-ill Emergency Departments Patients

Learning in Temporary Teams: The Varying Effects of Partner Exposure by Team Member Role

In many workplaces, temporary teams convene to coordinate complex work, despite team members having not worked together before. Most related research has found consistent performance benefits when members of temporary teams work together multiple times (team familiarity). Recent work in this area broke new conceptual ground by instead exploring the learning and performance benefits that team members gain by being exposed to many new partners (partner exposure). In contrast to that new work that examined partner exposure between team members who are peers, in this paper, we extend this research by developing and testing theory about the performance effects of partner exposure for team members whose roles are differentiated by authority and skill. We use visit-level data from a hospital emergency department and leverage the ad hoc assignment of attendings, nurses, and residents to teams and the round-robin assignment of patients to these teams as our identification strategy. We find a negative performance effect of both nurses’ and resident trainees’ partner exposure to more attendings and of attendings’ and nurses’ exposure to more residents. In contrast, both attendings and residents experience a positive impact on performance from working with more nurses. The respective effects of residents working with more attendings and with more nurses is attenuated on patient cases with more structured workflows. Our results suggest that interactions with team members in decision-executing roles, as opposed to decision-initiating roles, is an important but often unrecognized part of disciplinary training and team learning.

Emergency Department Length of Stay for Critical Care Admissions. A Population-based Study

RATIONALE

Hospital emergency department (ED) strain is common in North America. Excessive strain may result in prolonged ED length of stay and may lead to worse outcomes for patients admitted to intensive care units (ICUs).

OBJECTIVES

To describe patient, ED, and hospital characteristics associated with prolonged ED length of stay for adult patients admitted from EDs to ICUs.

METHODS

We conducted a population-based cohort study in the Province of Ontario, Canada, including patients admitted to an adult ICU from an ED and excluding only interhospital transfers and scheduled visits. Using regression modeling, we examined associations between patient- and hospital-level characteristics and two ED performance measures: length of stay in the ED of more than 6 hours and 90-day mortality.

MEASUREMENTS AND MAIN RESULTS

From April 2007 to March 2012, 261,274 adults presented to 118 EDs in Ontario, generating 314,836 ICU admissions. This activity represented 4.1% of all adult ED visits (incidence, 1,374 ICU admissions/100,000 ED visits). Median (interquartile range) ED length of stay was 7 (4-13) hours. Less than half (41.4%; 95% confidence interval [CI], 41.2-41.5) of these patients had an ED length of stay of 6 hours or less, whereas 10.5% (95% CI, 10.4-10.6) stayed 24 hours or longer. Hospital characteristics associated with ED length of stay more than 6 hours included shift-level ED crowding (mean length of stay of patients of similar acuity registering during same 8 h epoch) (odds ratio [OR], 1.19/h; 95% CI, 1.19-1.19), ED annual visit volume (OR, 1.01/1,000 patients; 95% CI, 1.01-1.01), time of ED presentation (00:00-07:59) (OR, 1.41; 95% CI, 1.38-1.45), and ICU functioning at greater than 20% above the average annual census (OR, 1.10; 95% CI, 1.08-1.12). ED length of stay more than 6 hours was not associated with 90-day mortality after adjustment for selected confounders (OR, 0.99; 95% CI, 0.97-1.02).

CONCLUSIONS

In this population-based study, less than half of adult ED patients were admitted to an ICU 6 hours or less after arrival to an ED, an internationally recognized performance indicator for ED care quality. ED and ICU strain generated by time-varying demand on capacity was an important determinant of ED length of stay. However, prolonged length of stay in an ED did not measurably reduce 90-day mortality.

Analyzing Factors Affecting Emergency Department Length of Stay-Using a Competing Risk-accelerated Failure Time Model

Emergency department (ED) length of stay (LOS) is associated with ED crowding and related complications. Previous studies either analyzed single patient disposition groups or combined different endpoints as a whole. The aim of this study is to evaluate different effects of relevant factors affecting ED LOS among different patient disposition groups.This is a retrospective electronic data analysis. The ED LOS and relevant covariates of all patients between January 2013 and December 2013 were collected. A competing risk accelerated failure time model was used to compute endpoint type-specific time ratios (TRs) for ED LOS.A total of 149,472 patients was included for analysis with an overall medium ED LOS of 2.15 [interquartile range (IQR) = 6.51] hours. The medium LOS for discharged, admission, and mortality patients was 1.46 (IQR = 2.07), 11.3 (IQR = 33.2), and 7.53 (IQR = 28.0) hours, respectively. In multivariate analysis, age (TR = 1.012, P < 0.0001], higher acuity (triage level I vs level V, TR = 2.371, P < 0.0001), pediatric nontrauma (compared with adult nontrauma, TR = 3.084, P < 0.0001), transferred patients (TR = 2.712, P < 0.0001), and day shift arrival (compared with night shift, TR = 1.451, P < 0.0001) were associated with prolonged ED LOS in the discharged patient group. However, opposite results were noted for higher acuity (triage level I vs level V, TR = 0.532, P < 0.0001), pediatric nontrauma (TR = 0.375, P < 0.0001), transferred patients (TR = 0.852, P < 0.0001), and day shift arrival (TR = 0.88, P < 0.0001) in the admission patient group.Common influential factors such as age, patient entity, triage acuity level, or arrival time may have varying effects on different disposition groups of patients. These findings and the suggested model could be used for EDs to develop individually tailored approaches to minimize ED LOS and further improve ED crowding status.