Predictive Tracking of Patient Flow in the Emergency Services During the Virus Winter Epidemics
- Conditions
- BronchiolitisDisease OutbreaksChildElderlyAcute Renal Failure
- Interventions
- Other: data retrieval
- Registration Number
- NCT02858531
- 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 760000
- child < 24 months with bronchiolitis
- elderly < 60 years with acute renal failure or breathing problem
- refuse of transmission of their data
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description patients < 24 months or 60 years with bronchiolitis or ARF data retrieval ARF = Acute Renal Failure
- Primary Outcome Measures
Name Time Method 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
Name Time Method Comparison virological databases with clinical diagnosis of patients at inclusion 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 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 Percentage of elderly staying more than 10 hours in the emergency services. at inclusion
Trial Locations
- Locations (11)
CH de Valence (adult emergency service)
π«π·Valence, France
CHU de Lyon HFME (pediatric service)
π«π·Lyon, France
CHU de Lyon (laboratory of virology)
π«π·Lyon, France
CHU de Grenoble (pediatric service)
π«π·Grenoble, France
CHU de Saint Etienne (adult emergency service)
π«π·Saint Etienne, France
CHU de Saint Etienne (Pediatric service)
π«π·Saint Etienne, France
CH de Valence (pediatric service)
π«π·Valence, France
CH de Villefranche (adult emergency service)
π«π·Villefranche Sur Saone, France
CH de Villefranche (pediatric service)
π«π·Villefranche Sur Saone, France
CHU de Grenoble (adult emergency service)
π«π·Grenoble, France
CHU de Lyon (adult emergency service)
π«π·Lyon, France