Early and late predictors of hospital readmissions and whether nutrition status helps predict hospital readmissions

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Hospital readmissions are common and are risky for the patients and imposes additional financial burden on already constrained health care resources. Although numerous readmission predictor tools have been developed their ability to accurately identify patients at high risk of unplanned readmissions is only modest. Experts believe that this could be due to unknown variables, which needs to be identified. Majority of studies predicting hospital readmissions have so far been carried out in United States and only limited studies are available in Australia. Moreover, these studies are centred on 30-day readmission rate, as this is a commonly used benchmark to reimburse hospitals in US. The present study aims to study predictors, which can influence very early and late readmissions in medical inpatients and whether nutrition status as determined by Malnutrition universal screening tool (MUST) can be used as a predictor of hospital readmissions.

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