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Modifying the RAPT Score to Reflect Discharge Destination in Current Practice
Eric Cohen1, Daniel B C Reid1, Matthew Quinn1
1Department of Orthopaedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.
The Risk Assessment Prediction Tool (RAPT) requires updated cutoffs for predicting total joint arthroplasty patient discharge. A modified RAPT (mRAPT) system improves accuracy and identifies more patients suitable for home services.
Area of Science:
- Orthopedic Surgery
- Health Services Research
Background:
- The Risk Assessment Prediction Tool (RAPT) is a validated survey for predicting discharge disposition in primary total joint arthroplasty (TJA) patients.
- Current RAPT scoring may be outdated due to advancements in rapid-discharge protocols and increased home care utilization.
Purpose of the Study:
- To evaluate the effectiveness of modified scoring cutoffs for the RAPT (mRAPT) in predicting discharge disposition for TJA patients.
- To assess if mRAPT improves predictive accuracy in the context of modern discharge trends.
Main Methods:
- A retrospective chart review of 1264 primary TJA patients was conducted over 14 months.
- The RAPT score was implemented mid-study, allowing for pre- and post-implementation outcome analysis.
- Exclusion criteria included revision TJA, complex TJA, and TJA after malignancy resection.
Main Results:
- The post-RAPT implementation group showed a significant decrease in mean hospital length of stay (2.22 to 1.82 days) and a reduction in facility discharges (21.8% to 15.2%).
- The modified RAPT system achieved 92% overall predictive accuracy and accurately predicted hospital length of stay.
- Significant improvements were observed in both total hip arthroplasty and total knee arthroplasty subgroups.
Conclusions:
- Published RAPT scoring cutoffs are inaccurate for current TJA discharge practices, which increasingly favor home services.
- Implementing modified RAPT (mRAPT) cutoffs maximizes predictive capabilities for patient discharge disposition.
- The mRAPT system maintains excellent predictive accuracy while better aligning with contemporary healthcare trends.
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