Development of a Point System to Predict Discharge to Home for Acute Stroke Patients.

Abstract

While in an acute hospital setting, it is challenging for clinicians to make discharge decisions due to the multifactorial process and individual patient characteristics. To evaluate and develop a scoring system utilizing the Japan Rehabilitation Database (JRD) to identify acute stroke patients with a high possibility of discharge to home. Retrospective observational cohort study. Thirty-seven acute hospitals in Japan. A total of 10 270 patients admitted to the acute hospitals with stroke were identified. The inclusion criteria were (1) admission within 3 days of onset and (2) admission from home. Exclusion criteria were (1) incomplete data and (2) death in hospital. A total of 4216 patients were included in the study. Not applicable. Discharge destination from acute care hospital, that is, home versus other locations. In the multivariate logistic regression, age, stroke type, Barthel Index on admission, modified Rankin scale on admission, the National Institutes of Health Stroke Scale on admission, and extent of paralysis were retained. When the cutoff point was 33, the scoring system showed a sensitivity of 80.4% and specificity of 80.3%. The area under curve (AUC) was 0.88. On evaluating the predictive performance, the model showed a sensitivity of 78.2% and a specificity of 78.5% with an AUC = 0.86. We developed a point system to identify acute stroke patients with a high possibility of discharge to home using the JRD. This point system may provide useful information for clinicians to plan the discharge of acute stroke patients.