Clinical trial NCT02858531: Predictive Tracking of Patient Flow in the Emergency Services During the Virus Winter Epidemics
Official title: Predictive Tracking of Patient Flow in the Emergency Services During the Virus Winter Epidemics
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Disease Outbreaks
Child
Elderly
Bronchiolitis
Acute Renal Failure
Lead sponsor: Centre Hospitalier Universitaire de Saint Etienne
Sponsor class: OTHER
First posted: 2016-08-08
Enrollment: 760000
Sex: ALL
Minimum age (years): 1
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: child \< 24 months with bronchiolitis or elderly \< 60 years with acute renal failure

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.


Eligibility criteria: 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

Primary outcomes:
measure: build a predictive tool
timeFrame: at inclusion
Secondary outcomes:
measure: 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
timeFrame: at inclusion
measure: 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
timeFrame: at inclusion
measure: Comparison virological databases with clinical diagnosis of patients
timeFrame: at inclusion
measure: Percentage of elderly staying more than 10 hours in the emergency services.
timeFrame: at inclusion
Other outcomes:
Locations:
city: Grenoble
country: France
facility: CHU de Grenoble (adult emergency service)
city: Grenoble
country: France
facility: CHU de Grenoble (pediatric service)
city: Lyon
country: France
facility: CHU de Lyon (adult emergency service)
city: Lyon
country: France
facility: CHU de Lyon (laboratory of virology)
city: Lyon
country: France
facility: CHU de Lyon HFME (pediatric service)
city: Saint Etienne
country: France
facility: CHU de Saint Etienne (adult emergency service)
city: Saint Etienne
country: France
facility: CHU de Saint Etienne (Pediatric service)
city: Valence
country: France
facility: CH de Valence (adult emergency service)
city: Valence
country: France
facility: CH de Valence (pediatric service)
city: Villefranche Sur Saone
country: France
facility: CH de Villefranche (adult emergency service)
city: Villefranche Sur Saone
country: France
facility: CH de Villefranche (pediatric service)
Study officials:
affiliation: Centre Hospitalier Universitaire de Saint Etienne
name: Olivier MORY, MD
role: PRINCIPAL_INVESTIGATOR
References: