Detecting Delayed Discharge in Acute Geriatric Unit Using NCT04965480

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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Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing

Clinical Trial Details — Status: Recruiting

Administrative data

Study information

Clinical Trial Summary

Recruitment information / eligibility

Study Design

Related Conditions & MeSH terms

Locations

Sponsors (1)

Country where clinical trial is conducted

Outcome