A predictive score to identify hospitalized patients' risk of discharge to a post-acute care facility

<p>Abstract</p> <p>Background</p> <p>Early identification of patients who need post-acute care (PAC) may improve discharge planning. The purposes of the study were to develop and validate a score predicting discharge to a post-acute care (PAC) facility and to determine its best assessment time.</p> <p>Methods</p> <p>We conducted a prospective study including 349 (derivation cohort) and 161 (validation cohort) consecutive patients in a general internal medicine service of a teaching hospital. We developed logistic regression models predicting discharge to a PAC facility, based on patient variables measured on admission (day 1) and on day 3. The value of each model was assessed by its area under the receiver operating characteristics curve (AUC). A simple numerical score was derived from the best model, and was validated in a separate cohort.</p> <p>Results</p> <p>Prediction of discharge to a PAC facility was as accurate on day 1 (AUC: 0.81) as on day 3 (AUC: 0.82). The day-3 model was more parsimonious, with 5 variables: patient's partner inability to provide home help (4 pts); inability to self-manage drug regimen (4 pts); number of active medical problems on admission (1 pt per problem); dependency in bathing (4 pts) and in transfers from bed to chair (4 pts) on day 3. A score ≥ 8 points predicted discharge to a PAC facility with a sensitivity of 87% and a specificity of 63%, and was significantly associated with inappropriate hospital days due to discharge delays. Internal and external validations confirmed these results.</p> <p>Conclusion</p> <p>A simple score computed on the 3rd hospital day predicted discharge to a PAC facility with good accuracy. A score > 8 points should prompt early discharge planning.</p

Sex differences in management and outcome after stroke - A Swedish national perspective

Background and Purpose-It is disputed whether there are sex differences in management and outcome after stroke; early studies have shown inconsistent results. The objective of this study was to verify and explain differences between men and women in management and outcome after stroke in a national perspective. Methods-In 2001, 20 761 stroke patients were registered in Riks-Stroke, the national quality register for stroke care in Sweden in which all 84 hospitals participate. Data from 9 hospitals that had reported <70% of the estimated stroke events were excluded from analyses, leaving 19 547 patients (9666 women, 9881 men) at 75 hospitals for the present analyses. Results-Women were older than men (77.8 versus 73.2 years). After age adjustment, female patients were more often disabled, living at home with community support, or in institutions before the stroke. They also had a different cardiovascular risk factor profile. Case fatality ratios during the first 3 months were similar in men and women. After 3 months, more women were physically and mentally impaired and dependent on other persons. Female patients with atrial fibrillation received oral anticoagulants less often than men. Even after multiple adjustments for differences between sexes, female sex was independently associated with institutional living 3 months after the stroke (odds ratio, 1.2; 95% confidence interval, 1.0 to 1.4). Conclusions-Women have a worse prestroke condition. Except for case fatality ratios, they also have a worse outcome after stroke after adjustment for other prognostic factors. There are also sex differences in the medical management of stroke that need to be rectified