Prediction of older adults' discharge destination from sub-acute care facilities
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The choices for discharge destinations from sub-acute care settings have increased from two to eight while the lengths of stay have reduced. Two purposes of this study were: (1) to identify a pattern at the time of discharge using demographics, functional and cognitive status of patients, and (2) to predict the discharge destinations at the time of admission. For discharge patterns, data from 602 patients aged 60 years or older, admitted to three sub-acute care settings, were analyzed using one-way ANOVA. For prediction, admission data from 740 patients were analyzed using logistic regression. Age, length of stay, functional (Adapted Barthel Index) and cognitive status (6-Word Recall) were dominant factors that affected the decision of discharging an older adult to a particular destination. Logistic regression could not predict most destinations, but specific cutoff points emerged for particular destinations. Patient's social, financial support and previous living arrangements are needed for better prediction.