2019-03-072019-03-0720182018Australasian Journal of Ageing, 37: E12-E16. doi:10.1111/ajag.124911440-63811741-6612https://hdl.handle.net/10292/12330Objective: To investigate whether the discharge destination for older adults can be predicted using functional mobility as measured by the Modified Elderly Mobility Scale (MEMS), associated with demographic and primary reason for admission variables. Methods: A retrospective cohort population audit of 257 patients admitted and discharged from four tertiary older adult rehabilitation wards in a three-month period. A number of predictor variables were considered alongside the discharge destination. Results: Multinomial statistical modelling established that MEMS prior to (P < 0.001), MEMS on completion (P = 0.009) of rehabilitation physiotherapy and primary reason for admission (P = 0.002) were significant variables to predict discharge destination. The model correctly predicted 71% of observed patient discharge destinations. Conclusion: The MEMS in conjunction with primary reason for admission was able to predict discharge destination with 71% accuracy in a heterogeneous population of older adults following rehabilitation.© 2017 The Authors. Australasian Journal on Ageing published by John Wiley & Sons Australia, Ltd on behalf of AJA Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.AgedAgingPatient dischargeRegression analysisRehabilitationJournal ArticleOpenAccess10.1111/ajag.12491