Ignite Creation Date:
2025-12-24 @ 10:35 PM
Ignite Modification Date:
2025-12-25 @ 8:06 PM
Study NCT ID:
NCT02949635
Status:
COMPLETED
Last Update Posted:
2020-08-24
First Post:
2016-08-23
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Patient Outcomes After Hospitalization in Acute Geriatric Unit
Sponsor:
University Hospital, Lille
Organization:
Study Overview
Official Title:
Risks of Death, Hospital Readmission, and Institutionalization After Hospitalization in Acute Geriatric Unit
Status:
COMPLETED
Status Verified Date:
2020-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
DAMAGE
Brief Summary:
Three events can be considered of major importance for patients after a hospitalization in an AGU: death, hospital readmission, and institutionalization. Current published data do not allow the clinician to simultaneously estimate the risk of hospital readmission, institutionalization and death of an older patient according to his/her characteristics and various complications that occurred during the hospitalization. However, clinicians often need to estimate these risks at hospital discharge to adapt their therapeutic choices, their proposals post-hospital care, and provide reliable and fair information to the patient and his relatives.
Estimating simultaneously the hazard for each of these three events can be complex. Indeed, a death event hinder the observation of re-hospitalization or institutionalization if death occurs before these events. The death should be considered a competing risk in these analyzes. Hospital readmission may modify the risk of death or institutionalization and should be considered as an intermediate factor for these event. This complexity cannot be accounted with classical statistical models, like logistic regression models.
The purpose of this study is to use more appropriate statistical models (multi-state models) to better estimate simultaneously the risks of hospital readmission, institutionalization, and death of a patient given after hospitalization in AGU, and to show that accuracy of these estimations can be improved by taking into account complications that occurred during the stay in AGU.
Estimating simultaneously the hazard for each of these three events can be complex. Indeed, a death event hinder the observation of re-hospitalization or institutionalization if death occurs before these events. The death should be considered a competing risk in these analyzes. Hospital readmission may modify the risk of death or institutionalization and should be considered as an intermediate factor for these event. This complexity cannot be accounted with classical statistical models, like logistic regression models.
The purpose of this study is to use more appropriate statistical models (multi-state models) to better estimate simultaneously the risks of hospital readmission, institutionalization, and death of a patient given after hospitalization in AGU, and to show that accuracy of these estimations can be improved by taking into account complications that occurred during the stay in AGU.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: