Development and Validation of a Regional Multi-scale System for the Prediction of the Patient Flow in the Emergencies and the Need for Hospitalization

NCT03051737 | Unknown

• 1 other identifier: NI15018
• Study Type: observational
• Target: 18,000,000
• Locations: 1 country
• Sites: 1

Brief Summary

The main objective of this retrospective study is to validate a prediction system of emergencies department (ED) attendance on a wide range of time and the need for hospitalization, at various levels of perimeter (with all emergency departments or one ED in particular), with all patients or with one sub-group of patients (age, gravity, care).

Conditions

Emergency Department; Hospitalization

Keywords

Multi-scale; Prediction; Patient Flow; Emergency Department; Hospitalization; Ile-de-France

Outcome Measures

Primary Outcomes (1)

• Prediction of emergency department visits

  Calculated base on regional database: individual data of summation of ED visits in the region of Paris and structural data of health cares

  throughout the study, an average of 18 months

Secondary Outcomes (7)

• Prediction by age

  throughout the study, an average of 18 months

• Prediction by lever of gravity

  throughout the study, an average of 18 months

• Prediction by type of care

  throughout the study, an average of 18 months

• Prediction by need of hospitalization or no

  throughout the study, an average of 18 months

• Relation between flow of patients and indicator of tension of team

  throughout the study, an average of 18 months

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Adults or children who have been recorded as patients in emergency departments between 2010 and 2015 are all eligibles with unlimited number of care. 85 Health Facilities in Ile de France who have emergency departments will participate the study.

You may qualify if:

• All subjects have been recorded as patients in emergency departments between 2010 and 2015.

You may not qualify if:

• None

Sponsors & Collaborators

• Assistance Publique - Hôpitaux de Paris: lead

Study Sites (1)

Emergency Department - Bry sur Marne Hospital

Bry-sur-Marne, Val-de-Marne, 94360, France

RECRUITING

MeSH Terms

Conditions

Emergencies

Condition Hierarchy (Ancestors)

Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Mathias WARGON, MD

  Emergency Department - Bry sur Marne Hospital

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Mathias WARGON, MD

CONTACT

+33 1 49 83 10 86; m.wargon@ch-bry.org

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: February 6, 2017
• First Posted: February 14, 2017
• Study Start: June 1, 2021
• Primary Completion: December 1, 2023
• Study Completion: December 1, 2023
• Last Updated: March 22, 2022

Record last verified: 2022-03

Data Sharing

• IPD Sharing: Will not share

Locations

FR (1)