Why the study?
Does a novel 13-variable risk prediction model improve the accuracy of predicting 30-day all-cause readmission compared to the CMS model in patients admitted with pneumonia?
Population
1,295 hospitalizations for pneumonia over 3 years at the Cleveland Clinic Main Campus
Comparison
Cleveland Clinic 13-variable risk prediction… vs Centers for Medicare and Medicaid Services model
Design
Cohort
Follow-up
30 days
Authors
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May identify high-risk pneumonia patients at discharge; leaves open whether implementation reduces readmissions.
Does a novel 13-variable risk prediction model improve the accuracy of predicting 30-day all-cause readmission compared to the CMS model in patients admitted with pneumonia?
A novel 13-variable electronic health record-based model accurately predicts 30-day readmission risk for pneumonia patients at discharge, outperforming the standard CMS model.
Hatipoğlu et al. (2017) studied this question.
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