Emergency Department, Hospitalization
Conditions
Keywords
Multi-scale, Prediction, Patient Flow, Emergency Department, Hospitalization, Ile-de-France
Brief summary
The main objective of this retrospective study is to validate a prediction system of emergencies department (ED) attendance on a wide range of time and the need for hospitalization, at various levels of perimeter (with all emergency departments or one ED in particular), with all patients or with one sub-group of patients (age, gravity, care).
Detailed description
As secondary objectives, the study aims: * to measure the influence of different factors as environmental or structural and to identify the modifiable factors, then to allow us to test by simulation, impact of various interventions (for example: opening of hospitals and reinforcement of ED teams) on arrival flows or regenerated tension inside ED teams. * to study the relation between the flows (arrival patients, hospitalized patients) and the time of ED visit or the indicators of tension of ED team. * Typology of ED in the region of Paris permitting afterward comparison the benchmarking type between similar structures. This retrospective study will be performed on database: individual data in the region of Paris of summation of ED visits and data on the structures of health cares, as well as environmental data (principal given cares, weather, moves, circulations, pollution, strikes, vacations, etc.)
Interventions
None listed
Sponsors
Assistance Publique - Hôpitaux de Paris
Study design
Observational model
OTHER
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* All subjects have been recorded as patients in emergency departments between 2010 and 2015.
Exclusion criteria
* None
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Prediction of emergency department visits | throughout the study, an average of 18 months | Calculated base on regional database: individual data of summation of ED visits in the region of Paris and structural data of health cares |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Prediction by lever of gravity | throughout the study, an average of 18 months | — |
| Prediction by type of care | throughout the study, an average of 18 months | By type : (medical, surgical or intensive) care |
| Prediction by need of hospitalization or no | throughout the study, an average of 18 months | — |
| Prediction by age | throughout the study, an average of 18 months | By sub-group of child or senior |
| Relation between flow of patients and time of ED visit | throughout the study, an average of 18 months | — |
| Typology of ED of the region of Paris | throughout the study, an average of 18 months | — |
| Relation between flow of patients and indicator of tension of team | throughout the study, an average of 18 months | — |
Countries
France
Contacts
Primary ContactMathias WARGON, MD
Outcome results
None listed