Predictive Tracking of Patient Flow in the Emergency Services During the Virus Winter Epidemics

Elderly Clinical Trial

— PREDAFLU  

Official title:

Predictive Tracking of Patient Flow in the Emergency Services During the Virus Winter Epidemics

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT02858531
• Other study ID #: 1508191
• Secondary ID: 1969303 v 0
• Status: Completed
• Start date: September 1, 2016
• Est. completion date: December 31, 2023

Study information

• Verified date: March 2024
• Source: Centre Hospitalier Universitaire de Saint Etienne
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Epidemics and infectious diseases in general, punctuate much of the activity of an emergency service. The impact of winter infections is particularly important to vulnerable populations such as infant during bronchiolitis epidemics and the elderly during seasonal influenza. Each year, these epidemic phenomena lead to disorganization of emergency services and healthcare teams by lack of anticipation and organizational measures in particular to manage the approval of emergency services for the most vulnerable populations requiring hospitalization. For 2 years, the pediatric emergency department of St Etienne University Hospital has a decision support tool for the periods of winter epidemics. Through a retrospective analysis of Passages of Emergency summary, this tool provides an estimate of infants with bronchiolitis flow day to day, and the availability in real time of an abnormally high flow of patients to pediatric emergencies. These data can help to affirm that the epidemic begins in this hospital.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 760000
• Est. completion date: December 31, 2023
• Est. primary completion date: December 31, 2023
• Accepts healthy volunteers: No
• Gender: All
• Age group: 1 Month and older

Eligibility

Inclusion Criteria:

• child < 24 months with bronchiolitis
• elderly < 60 years with acute renal failure or breathing problem

Exclusion Criteria:

• refuse of transmission of their data

Related Conditions & MeSH terms

• Acute Kidney Injury
• Acute Renal Failure
• Bronchiolitis
• Child
• Disease Outbreaks
• Elderly
• Emergencies

Intervention

Other:
• data retrieval
data retrieval with the Hospital Information System

Locations

Country	Name	City	State
France	CHU de Grenoble (adult emergency service)	Grenoble
France	CHU de Grenoble (pediatric service)	Grenoble
France	CHU de Lyon (adult emergency service)	Lyon
France	CHU de Lyon (laboratory of virology)	Lyon
France	CHU de Lyon HFME (pediatric service)	Lyon
France	CHU de Saint Etienne (adult emergency service)	Saint Etienne
France	CHU de Saint Etienne (Pediatric service)	Saint Etienne
France	CH de Valence (adult emergency service)	Valence
France	CH de Valence (pediatric service)	Valence
France	CH de Villefranche (adult emergency service)	Villefranche Sur Saone
France	CH de Villefranche (pediatric service)	Villefranche Sur Saone

Sponsors (1)

Lead Sponsor	Collaborator
Centre Hospitalier Universitaire de Saint Etienne

Country where clinical trial is conducted

France, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	build a predictive tool	a tool with different levels of alerts of the influx of people aged to emergencies during winter epidemics.; Variables in the model : activity database in emergency services, computer data, virology database and average length of stay.	at inclusion
Secondary	Difference between the estimated date and the effective date of the activity peak on the average length of stay of patients in the hospital of Saint Etienne		at inclusion
Secondary	Difference between the estimated date and the effective date of the activity peak on the average length of stay of patients in the other hospitals		at inclusion
Secondary	Comparison virological databases with clinical diagnosis of patients		at inclusion
Secondary	Percentage of elderly staying more than 10 hours in the emergency services.		at inclusion