Predictive Tracking of Patient Flow in the Emergency Services During the Virus Winter Epidemics
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Disease Outbreaks
- Sponsor
- Centre Hospitalier Universitaire de Saint Etienne
- Enrollment
- 760000
- Locations
- 11
- Primary Endpoint
- build a predictive tool
- Status
- Completed
- Last Updated
- 2 years ago
Overview
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.
Investigators
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
Outcomes
Primary Outcomes
build a predictive tool
Time Frame: 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 Outcomes
- 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)