Prediction of the Patient Pathway in Emergency Room in an Exceptional Sanitary Situation (3PU-SSE)

The COVID-19 outbreak leads to optimize the pathway in emergency departments. The length of time spent in the Emergency Department is linked to the morbi-mortality and the risk of COVID-19 transmission. The Amiens-Picardy University Hospital has developed an application (3P-U) that optimizes patient flow. It identifies the need of hospitalization and problems on the care path. Patients are categorized in high risk or not high probabilty of hospitalization. The main goal of this project is to evaluate the impact on the patient flow of the 3P-U application. Early lookup of bed for high probability hospitalization should be linked to a reduced time of length. This study will compare the time of length between this both groups.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

1516

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Amiens, France, 80480
        • CHU Amiens

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

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

All patients that consults in adult emergency department should be included

Description

Inclusion Criteria:

  • every patient that consults in the Adult Emergency Department

Exclusion Criteria:

  • patients directly transferred to Intensive Care Units

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
high risk of hospitalization
Patient in high risk of hospitalization group benefits a dedicated process to find and book a bedroom
not high risk of hospitalization

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Variation of the length of stay between high probability of hospitalization group and not high risk of hospitalization group.
Time Frame: up to 3 months
Variation of the length of stay between high probability of hospitalization group and not high risk of hospitalization group.
up to 3 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)

December 4, 2020

Primary Completion (Actual)

March 1, 2021

Study Completion (Actual)

March 1, 2021

Study Registration Dates

First Submitted

December 7, 2020

First Submitted That Met QC Criteria

December 7, 2020

First Posted (Actual)

December 14, 2020

Study Record Updates

Last Update Posted (Actual)

July 21, 2021

Last Update Submitted That Met QC Criteria

July 20, 2021

Last Verified

July 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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