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The CASH Database

The database is the hub of the CASH service. The content can be added, searched and exported to create personalised alerting services for library customers.  There are a number of newsfeeds that can be embedded into external CAS website pages keeping them constantly updated with the latest content.

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REadmission PREvention in SepSis: Development and Validation of a Prediction Model

Journal for Healthcare Quality
Year of publication
Hospital 30-day readmissions remain a major quality and cost indicator. Traditional readmission risk scores, such as LACE (length of stay, acuity of admission, Charlson comorbidity index, and emergency department visits), may be suboptimal in special patient populations, such as those with sepsis. As sepsis survivorship improves, there is a need to determine which variables might be associated with a decrease in 30-day readmission. We completed a retrospective analysis reviewing patients with sepsis who had unplanned 30-day readmissions. Multivariate regression analysis was performed for the REadmission PREvention in SepSis (REPRESS) model, which evaluated age, length of stay, Charlson disease count, Richmond Agitation-Sedation Scale score, discharge to a skilled nursing facility, and mobility for predictive significance in hospital readmission. Our REPRESS model performed better when compared with LACE for predicting readmission risk in a sepsis population
Date added
Created by
Catherine Stead
Published by
Current Awareness Service for Health