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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04965480
Other study ID # PI2021_843_0153
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date July 1, 2021
Est. completion date July 2024

Study information

Verified date February 2023
Source Centre Hospitalier Universitaire, Amiens
Contact Guillaume Deschasse, MD
Phone 03 22 45 57 20
Email Deschasse.Guillaume@chu-amiens.fr
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Delayed discharge in geriatric units is a health and economic issue. There is no algorithm to automatically measure the appropriateness of admissions or hospital days. 30% of the days of hospitalization in acute geriatric units (AGU) are not appropriate. Waiting for a transfer to a follow-up care and rehabilitation unit (SSR) is the main risk factor for inappropriate days. The purpose of this project is to develop an algorithm using natural language processing to predict the appropriateness of an admission to UGA, or a day at UGA.


Recruitment information / eligibility

Status Recruiting
Enrollment 300
Est. completion date July 2024
Est. primary completion date September 2023
Accepts healthy volunteers No
Gender All
Age group 75 Years and older
Eligibility Inclusion Criteria: - age : >75 years - patient hospitalized in an AGU Exclusion Criteria: - refusal to participate

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
France CHU Amiens Picardie Amiens Picardie

Sponsors (1)

Lead Sponsor Collaborator
Centre Hospitalier Universitaire, Amiens

Country where clinical trial is conducted

France, 

Outcome

Type Measure Description Time frame Safety issue
Primary Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU AGU is acute geriatric units 15 days
Primary Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission for one day in AGU AGU is acute geriatric units one day
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