Resuscitations in an observation unit

The benefits of a virtual emergency department observation unit for hospital observation patients

BACKGROUND

The benefit of virtual emergency department observation unit (EDOU) care relative to traditional observation care in an inpatient bed is unknown.

OBJECTIVE

To determine if virtual observation care in an EDOU is associated with improved length of stay, cost, inpatient admission rate, and adverse events relative to traditional observation care in non-observation unit (NOU) inpatient bed.

METHODS

This is a retrospective observational cohort study of observation patients managed over 24 months in two urban teaching hospitals. Following an ED visit, observation care occurred in a virtual-EDOU or NOU inpatient setting based on bed availability, physician discretion, and observation guidelines. Primary outcomes were length of stay, total cost, inpatient admission rate, and adverse events (death or ICU admission). Hospital cost and clinical databases were used. Analysis with a doubly-robust regression with entropy balancing and propensity scores was used to control for subgroup differences.

RESULTS

30,191 observation patients were divided into 13,753 NOU patients and 16,438 EDOU patients with similar distributions for age and gender, and differences in health insurance and diagnosis. For both discharged and admitted patients, the mean cost was higher in the NOU setting at $7989 than the virtual-EDOU setting at $4876 with an adjusted difference of $1951 (95% CI: $1762-$2133). The mean total length of stay was higher in the NOU setting (60.5 h) than the virtual-EDOU setting (36.4 h) with an adjusted difference of 20.4 h (95% CI: 19.2 h - 21.3 h). NOU inpatient admission rates were higher (25.3% vs 18.4%). Cost and length of stays were lower in discharged observation patients, with differences favoring the virtual-EDOU group. Adverse events were higher in the NOU setting (2.1% vs 0.8%). 30-day ED recidivism did not differ significantly between NOU and virtual-EDOU study groups. The virtual-EDOU saved the two hospitals $16,036,913 and 6986 bed-days annually.

CONCLUSION

Management of observation patients in a virtual-EDOU setting is superior to care in a traditional inpatient setting in terms of costs, length of stays, inpatient admission and adverse events rates.

State of the art: emergency department observation units

Hospitals and emergency departments face the challenges of escalating healthcare costs, mismatched resource utilization, concern over avoidable admissions, and hospital and emergency department overcrowding. One approach that has been used by hospitals to address these issues is the use of emergency department observation units. Research in this setting has increased in recent years, leading to a better understanding of the role of these units and their unique benefits. These benefits have been proven for health systems as a whole and for several acute conditions including chest pain, asthma, syncope, transient ischemic attack, atrial fibrillation, heart failure, abdominal pain, and more. Benefits include a decrease in diagnostic uncertainty, lower cost and resource utilization, improved patient satisfaction, and clinical outcomes that are comparable to admitted patients. As more hospitals begin to use observation units, there is a need for further education and research in how to optimize the use of emergency department observation units. The purpose of this article is to provide a general overview of observation units, including advancements and research in this field.

Continuous Quality Improvement for the Clinical Decision Unit

Clinical decision units (CDUs) are a relatively new and growing area of medicine in which patients undergo rapid evaluation and treatment. Continuous quality improvement (CQI) is important for the establishment and functioning of CDUs. CQI in CDUs has many advantages: better CDU functioning, fulfillment of Joint Commission on Accreditation of Healthcare Organizations mandates, greater efficiency/productivity, increased job satisfaction, better performance improvement, data availability, and benchmarking. Key elements include a database with volume indicators, operational policies, clinical practice protocols (diagnosis specific/condition specific), monitors, benchmarks, and clinical pathways. Examples of these important parameters are given. The CQI process should be individualized for each CDU and hospital.