Propensity to Hospitalize Patients From the ED in European Centers.
ConditionEmergency Medicine
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorMario Negri Institute for Pharmacological Research
About this trial
The peer-to-peer comparison means center-to-center comparison, which requires adjusting for possible differences among centers to be fair and convincing. The first step to reach this goal is to develop a predictive model that accurately estimates each patient's probability of being admitted, starting from clinical conditions and boundary variables. Such a model would make it possible to calculate, for each ED, the expected hospitalization rate; that is, the hospitalization rate that would have been observed if the ED had behaved like the average of the EDs that provided the data to build the model itself. Comparing the observed hospitalization rate in the single ED with the expected rate derived from the model provides a rigorous method of comparing the department with the average performance, taking into account the characteristics of the patients treated and the conditions under which the ED operated. In other words, the predictive model represents the benchmark against which each ED is evaluated.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Adult
Arrived at emergency department between 1 January 2021 and 31 December 2023
Disqualifiers
None
Trial population
All adult patients who arrived at participating emergency departments between January 1, 2021 and December 31, 2023
Trial design
Design model
Cohort
Time perspective
Retrospective
Treatments tested in this trial
no intervention
Other interventionno intervention
Treatment groups
162,000 Participants
are divided into 1 treatment groupGroup A: Adults who attended the emergency department1 intervention
Trial outcomes
Primary outcomes
1
Create two separate databases
To create two separate databases (one for each of the two subgroups considered) on all patients who presenteding to the participating EDs over a defined period, containing the information considered important to study both the propensity to hospitalize these patients and their 30-day mortality
Time frame
September 2024 - September 20252
Multivariable models
To develop two multivariable models that predict the probability that patients presenting to the ED with dyspnea (first model) or after a TLoC (second model) will be admitted to the hospital
Time frame
September 2025 - September 20263
Adjusted comparison
To provide the participating EDs with an adjusted comparison of the hospitalization rates for the patients with selected symptoms, to improve the quality of care.
Time frame
September 2025 - September 2026Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Mario Negri Institute for Pharmacological Research
Lead sponsor
Astir s.r.l.
Collaborator
Centre Hospitalier Universitaire Vaudois
Collaborator
Orobix Life S.r.l.
Collaborator
Fondazione Bruno Kessler
Collaborator
Source ClinicalTrials.gov