143: How Long Before Patients Lose Their Patience?

Association of emergency department and hospital characteristics with elopements and length of stay

BACKGROUND

As the Centers for Medicare & Medicaid Services (CMS) core measures in 2013 compare Emergency Department (ED) treatment time intervals, it is important to identify ED and hospital characteristics associated with these metrics to facilitate accurate comparisons.

STUDY OBJECTIVES

The objective of this study is to assess differences in operational metrics by ED and hospital characteristics. ED-level characteristics included annual ED volume, percentage of patients admitted, percentage of patients presenting by ambulance, and percentage of pediatric patients. Hospital-level characteristics included teaching hospital status, trauma center status, hospital ownership (nonprofit or for-profit), inpatient bed capacity, critical access status, inpatient bed occupancy, and rural vs. urban location area.

METHODS

Data from the ED Benchmarking Alliance from 2004 to 2009 were merged with the American Hospital Association's Annual Survey Database to include hospital characteristics that may impact ED throughput. Overall median length of stay (LOS) and left before treatment is complete (LBTC) were the primary outcome variables, and a linear mixed model was used to assess the association between outcome variables and ED and hospital characteristics, while accounting for correlations among multiple observations within each hospital. All data were at the hospital level on a yearly basis.

RESULTS

There were 445 EDs included in the analysis, from 2004 to 2009, with 850 observations over 6 years. Higher-volume EDs were associated with higher rates of LBTC and LOS. For-profit hospitals had lower LBTC and LOS. Higher inpatient bed occupancies were associated with a higher LOS. Increasing admission percentages were positively associated with overall LOS for EDs, but not with rates of LBTC.

CONCLUSIONS

Higher-volume EDs are associated with higher LBTC and LOS, and for-profit hospitals appear more favorably in these metrics compared with their nonprofit counterparts. It is important to appreciate that hospitals have different baselines for performance that may be more tied to volume and capacity, and less to quality of care.

The use of scripting at triage and its impact on elopements

OBJECTIVES

The objective of this study was to measure the effect of scripting language at triage on the likelihood of elopements, controlling for patient volume and other potential confounding variables.

METHODS

This was a pre- and postintervention cohort study using the same 5-month period (November 2007-March 2008 and November 2008-March 2009, respectively) that included in the analysis all patients 21 years of age and older, who presented to the triage window in the emergency department (ED) waiting room (not by ambulance). As part of the scripting, triage nurses informed patients of the longest waiting time (at that point in time) for any patients still waiting to be brought back from the waiting room into the ED. Rates of elopement were compared between patients who did and did not receive the scripting, controlling for individual and daily ED variables.

RESULTS

A total of 24,390 ED visits were included in this analysis. The elopement rate was 4.4% among ED patients in the prescripting period, compared to 2.3% in the postscripting period. In a multivariate logistic regression model, the use of scripting was significantly associated with decreased odds of elopement, compared to the nonscripting group (odds ratio [OR] = 0.61, 95% confidence interval [CI] = 0.46 to 0.80).

CONCLUSIONS

The use of triage scripting was found to significantly reduce elopement rates in patients placed in the ED waiting room, even after controlling for other confounding variables. Scripting is a simple and underutilized technique that can have a positive effect for patients and the ED.