Abstract

Unplanned readmissions are common and costly. Factors have been identified that predict readmissions, and predictive algorithms, such as LACE index, have been studied and widely adopted despite variability in predictive ability. We examined the associations between unplanned readmissions and the LACE index, and other variables not in the LACE index.

Author Details

Catherine Stankiewicz, DNP, Florida Hospital, Orlando, Florida, USA

Sigma Membership

Phi Epsilon

Type

Poster

Format Type

Text-based Document

Study Design/Type

N/A

Research Approach

N/A

Keywords:

Hospital, Readmissions, Risk Prediction

Conference Name

Leadership Connection 2018

Conference Host

Sigma Theta Tau International

Conference Location

Indianapolis, Indiana, USA

Conference Year

2018

Rights Holder

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Acquisition

Proxy-submission

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Evaluation of the associations between unplanned readmissions and the LACE Index and other variables

Indianapolis, Indiana, USA

Unplanned readmissions are common and costly. Factors have been identified that predict readmissions, and predictive algorithms, such as LACE index, have been studied and widely adopted despite variability in predictive ability. We examined the associations between unplanned readmissions and the LACE index, and other variables not in the LACE index.