articleTop 1% cited
Identifying Increased Risk of Readmission and In-hospital Mortality Using Hospital Administrative Data
Medical Care · 2017 · Vol. 55(7) · pp. 698–705
Brian J. Moore✉(IBM (United States))Susan V. White(The Ohio State University)Raynard WashingtonNatalia Coenen(IBM (United States))Anne Elixhauser(Agency for Healthcare Research and Quality)
Abstract
These indices are effective methods to incorporate the influence of comorbid conditions in models designed to assess the risk of in-hospital mortality and readmission using administrative data with limited clinical information, especially when small samples sizes are an issue.
Healthcare Policy and ManagementEmergency and Acute Care StudiesPrimary Care and Health OutcomesComorbidityConfidence intervalMedicineStatisticOdds ratioCovariateLogistic regressionIndex (typography)OddsEmergency medicine
MeSH terms
AdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPatient ReadmissionComorbidityLogistic ModelsDatabases, FactualHospital MortalityRisk AssessmentYoung Adult
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