Recent research suggests current readmission risk prediction models may be inadequate for comparative or clinical purposes, according to a study published in the Journal of the American Medical Association.
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.
Dartmouth Study: Readmission Rates Stagnant From 2004-2009
Massachusetts Plans to Cut Medicaid for 24 Hospitals That Have High Readmission Rates
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