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Predictive accuracy was lowest for scores between 7 and 10 at 65.2 with almost 50 of patients receiving scores in this range.
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4-8 The RAPT Score consists of 6 components, each assigned an individual score and summed for a combined score: age, sex, walk score, gait assist score, community support score, and home support score (Figure 1). A RAPT score less than 6 corresponds to a hospital stay after surgery a RAPT score more than 9 allows the patient to return directly home whereas an intermediary RAPT score between 6 and 9 requires home care for this patient to return home. In a generalized multiple logistic regression model, the 3 top predictive factors for disposition were the RAPT score, length of stay, and age (P <. The Risk Assessment and Predictor Tool (RAPT) was developed to assess the need for postsurgical inpatient care within orthopedic surgery populations. Amongst RAPT score subcomponents, walk, gait, and postoperative care availability were all predictive of disposition location (P <.
RAPT SCORE MOVIE
Further, RAPT score was significant in predicting length of stay (P =. Rapt movie reviews & Metacritic score: Nominated for four Cesar Awards (including Best Film, Best Director and Best Actor), Lucas Belvaux’s edge-of-your-se. Every unit increase in RAPT score increases the chance of home disposition by 55.8% and 38.6% than rehab and skilled nursing facility, respectively. Multivariate regression was performed in a backwards stepwise logistic fashion to create a binomial model.Įscalating RAPT score predicts disposition to home (P <. Logistic regression analysis was used to assess the ability of RAPT score to predict discharge disposition. RAPT scores and discharge outcomes were recorded for patients aged 50 yr or more (n = 432). Patients undergoing elective posterior lumbar fusion from June 2016 to February 2017 were prospectively enrolled. To validate the use of Risk Assessment and Prediction Tool (RAPT) in patients undergoing posterior lumbar fusion for predicting discharge disposition. As the use of bundled care payment models has become widespread in neurosurgery, there is a distinct need for improved preoperative predictive tools to identify patients who will not benefit from prolonged hospitalization, thus facilitating earlier discharge to rehabilitation or nursing facilities.