Reducing Length of Stay in the Emergency Department

June 10, 2017 updated by: Wan-Ching Lien, National Taiwan University Hospital Hsin-Chu Branch

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

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.

Study Overview

Status

Completed

Conditions

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.

Study Type

Observational

Enrollment (Actual)

72000

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The patients were registered in the ED of the Hsin-Chu branch from Jan, 2015 to Dec, 2015.

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
to reduce ED length of stay
to reduce ED length of stay to lessen ED crowding by using Lean-sigma management and quality improvement interventions including reducing boarding time and medical decision time.

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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
length of stay for ED admissions.
Time Frame: 12 months
Length of stay was defined as the time from patient registration to leaving the ED.
12 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
boarding time for ED admissions
Time Frame: 12months
Boarding time was defined as the time from decision for admission to leaving the ED.
12months
decision time for ED admissions
Time Frame: 12 months
Decision time was defined as the time from patient registration to decision for disposition.
12 months
the percentage of LOS over 24 hours in all ED patients.
Time Frame: 12 months
The percentage was defined as patients staying at the ED over 24 hours/total ED visits.
12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2015

Primary Completion (Actual)

December 31, 2015

Study Completion (Actual)

December 31, 2015

Study Registration Dates

First Submitted

June 4, 2017

First Submitted That Met QC Criteria

June 10, 2017

First Posted (Actual)

June 14, 2017

Study Record Updates

Last Update Posted (Actual)

June 14, 2017

Last Update Submitted That Met QC Criteria

June 10, 2017

Last Verified

June 1, 2017

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 105-061-E

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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