Factors Associated With Discharge Destination in Community-Dwelling Adults Admitted to Acute General Medical Units.

BACKGROUND AND PURPOSE: General medical patients often present to the hospital with medical, social, cognitive, and functional issues that may impact discharge destination. The aim of this study was to investigate the association between patient factors at hospital admission and discharge destination in general medical patients. METHODS: This was a prospective, single-site observational study conducted on the general medical wards at a tertiary hospital. Inpatients admitted to the general medical unit and referred to physical therapy were included. Patients admitted from residential care were excluded. MAIN OUTCOME MEASURES: Data were collected a median of 2 days (interquartile range: 1-3) from hospital admission and included demographics, comorbidities (Charlson Comorbidity Index), premorbid physical function (Blaylock Risk Assessment Screening Score, BRASS), current function (de Morton Mobility Index, DEMMI and Alpha Functional Independence Measure, AlphaFIM), and cognition (Rowland Universal Dementia Assessment Scale, RUDAS). RESULTS: Between July 2016 and August 2017, 417 patients were recruited (53% female, median age: 81 years (interquartile range: 76-86). Of these, 245 patients were discharged directly home; 172 were not discharged home of whom 140 were discharged to a subacute temporary facility providing further opportunity for therapy and discharge planning. Patients discharged directly home had higher functional, mobility, and cognitive scores. Data were partitioned into training, validation, and test sets to provide unbiased estimates of sensitivity, specificity, receiver operating characteristic curve, and area under the curve. Models best associated with discharge were "DEMMI and toilet transfers" (sensitivity 82.1%, specificity 66.2%, area under the curve 83.8%, 95% confidence interval: 76.4-91.2) and "AlphaFIM and walking independence" (sensitivity: 66.7%, specificity: 83.1%, area under the curve: 81.5, 95% confidence interval: 73.2-89.7). CONCLUSION: Two models were created that differentiated between discharge home and not home and had similar statistical measures of validity. Although the models require further validation, clinicians should consider whether identification of patients likely to be discharged home or not home is of greater relevance for their clinical setting.