For their study, researchers extracted data from databases, including MEDLINE, CINAHL and the Cochrane Library, to assess and summarize the performance of readmission risk prediction models for clinical or comparative use.
Their results showed out of 26 unique models that met their inclusion criteria, only one model specifically addressed preventable readmissions. Nine of 14 models that relied on retrospective administrative data demonstrated poor discriminative functionality. Additionally, only a few models incorporated variables associated with overall health and function, illness severity or social health determinants.
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Massachusetts Plans to Cut Medicaid for 24 Hospitals That Have High Readmission Rates
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