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

Sponsor
Centre Hospitalier Universitaire de Saint Etienne (Other)
Overall Status
Recruiting
CT.gov ID
NCT02858531
Collaborator
(none)
760,000
11
76
69090.9
909.6

Study Details

Study Description

Brief 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.

Condition or Disease Intervention/Treatment Phase
  • Other: data retrieval

Study Design

Study Type:
Observational
Anticipated Enrollment :
760000 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Predictive Tracking of Patient Flow in the Emergency Services During the Virus Winter Epidemics
Actual Study Start Date :
Sep 1, 2016
Anticipated Primary Completion Date :
Dec 31, 2022
Anticipated Study Completion Date :
Dec 31, 2022

Arms and Interventions

Arm Intervention/Treatment
patients < 24 months or 60 years with bronchiolitis or ARF

ARF = Acute Renal Failure

Other: data retrieval
data retrieval with the Hospital Information System

Outcome Measures

Primary Outcome Measures

  1. build a predictive tool [at inclusion]

    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.

Secondary Outcome Measures

  1. 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]

  2. 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]

  3. Comparison virological databases with clinical diagnosis of patients [at inclusion]

  4. Percentage of elderly staying more than 10 hours in the emergency services. [at inclusion]

Eligibility Criteria

Criteria

Ages Eligible for Study:
1 Month and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
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

Contacts and Locations

Locations

Site City State Country Postal Code
1 CHU de Grenoble (adult emergency service) Grenoble France 38000
2 CHU de Grenoble (pediatric service) Grenoble France 38000
3 CHU de Lyon (adult emergency service) Lyon France 69000
4 CHU de Lyon (laboratory of virology) Lyon France 69000
5 CHU de Lyon HFME (pediatric service) Lyon France 69000
6 CHU de Saint Etienne (adult emergency service) Saint Etienne France 42055
7 CHU de Saint Etienne (Pediatric service) Saint Etienne France 42055
8 CH de Valence (adult emergency service) Valence France 26000
9 CH de Valence (pediatric service) Valence France 26000
10 CH de Villefranche (adult emergency service) Villefranche Sur Saone France 69655
11 CH de Villefranche (pediatric service) Villefranche Sur Saone France 69655

Sponsors and Collaborators

  • Centre Hospitalier Universitaire de Saint Etienne

Investigators

  • Principal Investigator: Olivier MORY, MD, Centre Hospitalier Universitaire de Saint Etienne

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Centre Hospitalier Universitaire de Saint Etienne
ClinicalTrials.gov Identifier:
NCT02858531
Other Study ID Numbers:
  • 1508191
  • 1969303 v 0
First Posted:
Aug 8, 2016
Last Update Posted:
Jan 19, 2021
Last Verified:
Jan 1, 2021
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jan 19, 2021