Propensity to Hospitalize Patients From the ED in European Centers.

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.

NCT Number	NCT06354764
Lead Sponsor	Mario Negri Institute for Pharmacological Research Collaborators: Astir s.r.l., Centre Hospitalier Universitaire Vaudois, Orobix Life S.r.l., Fondazione Bruno Kessler
Conditions	Emergency Medicine
Enrollment	162,000 participants
Start Date	2025-09-22
Primary Completion	2026-06 (estimated)
Study Completion	2027-02 (estimated)
Updated on ClinicalTrials.gov	2026-05-20