REadmission PREvention in SepSis: Development and Validation of a Prediction Model. Issue 3 (15th May 2022)

• Record Type: Journal Article
• Authors: Grek, Ami A.; Rogers, Emily R.; Peacock, Sarah H.; Hartjes, Tonja M.; White, Launia J.; Li, Zhuo; Naessens, James M.; Franco, Pablo M.
• Is Part Of: Journal for healthcare quality. Volume 44:Issue 3(2022)
• Page Start: 161
• Page End: 168
• Publication Date: 2022-05-15
• Subjects: bundle compliance -- healthcare quality -- hospital readmission -- sepsis bundle -- Sep-1; Medical care -- Quality control -- Periodicals; Quality assurance -- Periodicals; 362.1
• DOI: 10.1097/JHQ.0000000000000323
• Languages: English
• ISSNs: 1062-2551

Abstract

Abstract : Supplemental Digital Content is Available in the Text. ABSTRACT: 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.