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Propensity to Hospitalize Patients From the ED in European Centers.

Study acronym: eCREAM-UC1
StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗
Trial flagged as At Risk
Primary completion moved at least 6 months later Jun 2026 → Jan 2027
See other at-risk trials from Mario Negri Institute for Pharmacological Research

Record History

See every version on ClinicalTrials.gov ↗

  1. Primary completion pushed from Jun 2026 to Jan 2027
    • Site details revised at 1 of 2 sites
    • Eligibility criteria expanded, about 3 words
  2. Trial status: Not Yet Recruiting to Recruiting
    • Study sites: 0 to 2
    • Start date changed from estimate of Jan 2026 to Sep 22, 2025
    v5
  3. Start date: Feb 2025 to Jan 2026
    • Primary completion date: Feb 2026 to Jun 2026
    v4
  4. Start date: Sep 2024 to Feb 2025
    • Primary completion date: Sep 2025 to Feb 2026
    • Study completion date: Sep 2026 to Feb 2027
    v3
  5. Collaborators: 3 to 4v2
  6. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
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
(from sponsor)		 Emergency Medicine
Enrollment 162,000 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov