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NCT Number: NCT06354764

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.

Recruiting

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Key information

Conditions

Emergency Medicine

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Ospedale San Giovanni Bosco, Torino, Italy

Loading trial locations.

Who can participate

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

Inclusion criteria

  • Adult
  • Arrived at emergency department between 1 January 2021 and 31 December 2023

Exclusion criteria

  • None

Treatment and study plan

No intervention

Other

no intervention

Primary outcomes

  1. Create two separate databases

    Time frame: September 2024 - September 2025

    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

  2. Multivariable models

    Time frame: September 2025 - September 2026

    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

  3. Adjusted comparison

    Time frame: September 2025 - September 2026

    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.

Study contacts

Contact information is provided by the study sponsor or research team.

Chiara Pandolfini

CONTACT

[email protected]

0039 02 39014 253

Giulia Ghilardi

CONTACT

[email protected]

0039 035 4535 389

Sponsors and collaborators

Lead sponsor

Mario Negri Institute for Pharmacological Research

Other

Collaborators

  • Astir s.r.l.
  • Centre Hospitalier Universitaire Vaudois
  • Fondazione Bruno Kessler
  • Orobix Life S.r.l.

Registry information

Official study title

Propensity to Hospitalize Patients From the ED in European Centers.An Observational Retrospective Quality-of-care Study

Acronym: eCREAM-UC1

Important dates

Study start
2025
Primary completion
2026
Study completion
2027
First posted
Apr 9, 2024
Registry last updated
May 20, 2026

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

View the official ClinicalTrials.gov record (opens in a new tab)

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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