Validation of EPIC's Readmission Risk Model, the LACE+ Index and SQLape as Predictors of Unplanned Hospital Readmissions

CompletedOBSERVATIONAL
Enrollment

23,116

Participants

Timeline

Start Date

March 10, 2020

Primary Completion Date

April 10, 2020

Study Completion Date

October 1, 2020

Conditions
Hospital Readmission
Interventions
OTHER

An US Readmission Risk Prediction Model

Logistic regression model that predicts the risk of all-cause unplanned readmissions developed by the privately held healthcare software company EPIC.

OTHER

LACE+ score

The LACE+ score is a point score that can be used to predict the risk of post-discharge death or urgent readmission. It was developed based on administrative data in Ontario, Canada.

OTHER

SQLAPE model

The readmission risk model (Striving for Quality Level and analyzing of patient expenditures), is a computerized validated algorithm and was developed in 2002 to identify potentially avoidable readmissions.

Trial Locations (1)

6000

Cantonal Hospital of Lucerne, Lucerne

All Listed Sponsors
collaborator

Universität Luzern

OTHER

lead

Luzerner Kantonsspital

OTHER

NCT04306172 - Validation of EPIC's Readmission Risk Model, the LACE+ Index and SQLape as Predictors of Unplanned Hospital Readmissions | Biotech Hunter | Biotech Hunter