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Completed

NCT Number: NCT02858531

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

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.

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Key information

Conditions

Disease Outbreaks Acute Kidney Injury Acute Renal Failure Bronchial Diseases Bronchiolitis Bronchitis Child Elderly Female Urogenital Diseases Female Urogenital Diseases and Pregnancy Complications Infections Kidney Diseases Lung Diseases Lung Diseases, Obstructive Male Urogenital Diseases Renal Insufficiency Respiratory Tract Diseases Respiratory Tract Infections Urogenital Diseases Urologic Diseases

Age range

1 month and older

Sex eligibility

All sexes

Study type

Observational

Primary location

CHU de Grenoble (adult emergency service), Grenoble, France

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Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

data retrieval

Other

data retrieval with the Hospital Information System

Primary outcomes

  1. 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

  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

    Time frame: 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

    Time frame: at inclusion

  3. Comparison virological databases with clinical diagnosis of patients

    Time frame: at inclusion

  4. Percentage of elderly staying more than 10 hours in the emergency services.

    Time frame: at inclusion

Sponsors and collaborators

Lead sponsor

Centre Hospitalier Universitaire de Saint Etienne

Other

Registry information

Acronym: PREDAFLU

Important dates

Study start
2016
Primary completion
2023
Study completion
2023
First posted
Aug 8, 2016
Registry last updated
Mar 22, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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