Researchers Say Tools for Predicting Readmission Risks are Inadequate

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.

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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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