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Reducing Length of Stay in the Emergency Department

Reducing Length of Stay in the Emergency Department: Analyzing the Factors and Quality Improvement Interventions

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03185533
Enrollment
72000
Registered
2017-06-14
Start date
2015-01-01
Completion date
2015-12-31
Last updated
2017-06-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Length of Stay

Brief summary

Emergency department (ED) crowding has become an international challenge in the recent decades. Length of stay (LOS) is a useful marker to monitor ED crowding. Searching for the possible causes and reducing barriers may have the greatest impact on EDLOS. Therefore, the investigators assembled a multidisciplinary team for improvement of the ED process, to undergo assessments of ED patient flow with the spirit of lean-sigma methodologies. The objectives of this study were to evaluate a Lean-sigma-based initiative to lessen EDLOS.

Detailed description

Lean aims to smooth out the workflow and to eliminate wastes. In the ED settings, lean principles can display the process of the ED patient flow. Six sigma, a complementary strategy, has the merit to compensate the potential weakness of Lean through a data-driven process. Currently, a combination of Lean and Six sigma methodologies develops to solve the problems of workflow. It became clear that concurrent multifaceted interventions were needed to reduce EDLOS. Therefore, the investigators assembled a multidisciplinary quality improvement team for improvement of the ED process, to undergo assessments of ED patient flow with the spirit of lean-sigma methodologies. The objectives of this study were to evaluate a Lean-sigma-based initiative to lessen EDLOS.

Interventions

BEHAVIORALQuality improvement (QI) interventions

1\. The ED admissions exhibited prolonged length of stay. 2\. The Interventions for Reducing Medical Decision Time: 1. The ED director created QI education sessions and reported monthly QI outcomes. 2. The ED nurses reported the current number of ED admission patients twice a day to the director. The director summarized the bed requests to the administrative personnel. 3. The nurses reported the in-scene complicated cases to the ED director. The director would give an assistance in managing these cases. 3\. The Interventions for Reducing Boarding Time 1. The ED patients could be admitted before 8 a.m. if the bed was vacant. 2. The ED director initiated an on-line meeting at 8 a.m. and 4 p.m. 3. Monthly QI outcomes were reported in the hospital affairs meeting.

Sponsors

National Taiwan University Hospital Hsin-Chu Branch
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* the patients were registered in the ED from Jan, 2015 to Dec, 2015.

Exclusion criteria

* the patients were excluded because of left without seeing a physician.

Design outcomes

Primary

MeasureTime frameDescription
length of stay for ED admissions.12 monthsLength of stay was defined as the time from patient registration to leaving the ED.

Secondary

MeasureTime frameDescription
boarding time for ED admissions12monthsBoarding time was defined as the time from decision for admission to leaving the ED.
decision time for ED admissions12 monthsDecision time was defined as the time from patient registration to decision for disposition.
the percentage of LOS over 24 hours in all ED patients.12 monthsThe percentage was defined as patients staying at the ED over 24 hours/total ED visits.

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026