Utility of Mayo Clinic’s early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort

Author:

Socwell Caitlyn P.,Bucci Lucy,Patchell Sharni,Kotowicz Erika,Edbrooke Lara,Pope Rodney

Publisher

Springer Science and Business Media LLC

Subject

Oncology

Reference23 articles.

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2. George S, Atwal A (2013) Discharge planning reduces length of stay and readmission rates for older people admitted with a medical condition. Aust Occup Ther J 60:375–376

3. Shepperd S, Lannin NA, Clemson LM, McCluskey A, Cameron ID, Barras SL (2013) Discharge planning from hospital to home. Cochrane Database Syst Rev. https://doi.org/10.1002/14651858.CD000313.pub4

4. Cummings E, Showell C, Roehrer E, Churchill B, Turner B, Yee KC, Wong MC, Turner P (2010) A structured evidence-based literature review on discharge, referral and admission. eHealth services research group, University of Tasmania, Australia (on behalf of the Australian Commission on Safety and Quality in Health Care, and the NSW Department of Health). https://www.safetyandquality.gov.au/wp-content/uploads/2010/01/Discharge-admission-and-referral-literature-review-FINAL-5-October-2010.pdf . Accessed 24 March 2017

5. Piggot D (2015) Improving discharge planning to reduce length of stay and readmissions. Health IQ. http://healthiq.com.au/improving-discharge-planning-to-reduce-length-of-stay-and-readmissions/ . Accessed 30 March 2017

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