Analysis and Improvising Working Practices in the ER

May 7, 2019 updated by: Dr. Eitan Giat, Sheba Medical Center

Characterizing ER Activities for Failure Prevention

Analysis of electronic files of patients presenting to the emergency department to improve current practice

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Overcrowding in the emergency department (ED) is a pressing healthcare issue globally and has been shown to negatively affect the quality of treatment, clinical outcomes and patient satisfaction.

In recent years, an increasing number of studies have tried to implement changes in the ED to increase efficiency and thereby reduce the length of stay (LOS). Examples to these efforts include physician triage, expanding the nursing scope of practice and patient-flow design (e.g., creating fast track units) in the ED. Importantly, not all intuitive changes in the ED resulted in the reduction of LOS Therefore, implementing changes in the ED must be done with caution and preceded with a cost-benefit analysis of the effects of the intervention using available retrospective data.

This research was conducted in the ED of Sheba Medical Center (SMC), a tertiary government-owned hospital in Israel with 1400 beds. This study is a retrospective medical record review of patients admitted to the adult primary SMC ED. The study sample comprises all the walk-in patients that visited the ED between January 2013 and December 2017. The data here does not include other EDs located elsewhere in SMC, (e.g., pediatric ED, gynecology ED, ophthalmology ED, and psychiatric ED). All admissions files in SMC ED are recorded in a computerized system with negligible exceptions (such as power outage and connection or server maintenance). The time and date of every change in the electronic files are also recorded in the system. Therefore, it is possible to track the waiting times as well as the full content of the admission file.

The aim of this study is to identify and analyze potential modifications in current ED practice which may improve outcomes such as LOS, missed diagnosis, leaving without being seen, patient satisfaction, etc.

Study Type

Observational

Enrollment (Actual)

500000

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

All the patients admitted to the adult primary SMC ED ED between August 2014 and December 2017.

. The data here did not include other EDs located elsewhere in SMC, (e.g., pediatric ED, gynecology ED, ophthalmology ED and psychiatric ED).

Description

Inclusion Criteria:

  • all the patients that visited the SMC - ED between August 2014 and December 2017

Exclusion Criteria:

  • patients in which the electronic file is absent

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Length of stay
Time Frame: Starting from January1st 2014 until January 30th 2018
The time between admitting the patient to the ED and the time of decision to release or admit to hospital
Starting from January1st 2014 until January 30th 2018
left without being seen
Time Frame: Starting from January1st 2014 until January 30th 2018
amount of patients who leave the ED without being seen by a physician
Starting from January1st 2014 until January 30th 2018
missed diagnosis
Time Frame: Starting from January1st 2014 until January 30th 2018
Change of preliminary diagnosis made by ED physician compared to diagnosis after admission to hospital, or after readmission to ED
Starting from January1st 2014 until January 30th 2018
physician mistakes
Time Frame: Starting from January1st 2014 until January 30th 2018
Errors made by ED physician in the management of patients in the ED
Starting from January1st 2014 until January 30th 2018
Admission to hospital
Time Frame: Starting from January1st 2014 until January 30th 2018
The rate of hospitalization compred to the rate of discharge from ED
Starting from January1st 2014 until January 30th 2018
return to ED after discharge
Time Frame: Starting from January1st 2014 until January 30th 2018
patients returning to hospital within 30 days of discharge from ED
Starting from January1st 2014 until January 30th 2018
Time till being seen by a physician
Time Frame: Starting from January1st 2014 until January 30th 2018
We measure the time it took for the patient to be seen by an ED physician
Starting from January1st 2014 until January 30th 2018

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)

August 1, 2013

Primary Completion (Actual)

December 31, 2017

Study Completion (Actual)

December 31, 2017

Study Registration Dates

First Submitted

May 5, 2019

First Submitted That Met QC Criteria

May 7, 2019

First Posted (Actual)

May 9, 2019

Study Record Updates

Last Update Posted (Actual)

May 9, 2019

Last Update Submitted That Met QC Criteria

May 7, 2019

Last Verified

May 1, 2019

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 5132-18-SMC

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

all data is encrypted and unidentified

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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