Propensity to Hospitalize Patients From the ED in European Centers.

Emergency Medicine Clinical Trial

— eCREAM-UC1  

Official title:

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

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT06354764
• Other study ID #: 8780-UC1
• Status: Not yet recruiting
• Start date: September 2024
• Est. completion date: September 2026

Study information

• Verified date: April 2024
• Source: Mario Negri Institute for Pharmacological Research
• Contact: Chiara Pandolfini
• Phone: 0039 02 39014 253
• Email: chiara.pandolfini[@]marionegri.it
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 162000
• Est. completion date: September 2026
• Est. primary completion date: September 2025
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Adult

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

Exclusion Criteria:

• None

Related Conditions & MeSH terms

• Emergencies
• Emergency Medicine

Intervention

Other:
• no intervention
no intervention

Locations

Country	Name	City	State
n/a

Sponsors (5)

Lead Sponsor	Collaborator
Mario Negri Institute for Pharmacological Research	Astir S.r.l., Centre Hospitalier Universitaire Vaudois, Fondazione Bruno Kessler, Orobix Life S.r.l.

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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	September 2024 - September 2025
Primary	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	September 2025 - September 2026
Primary	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.	September 2025 - September 2026