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Predicting discharge outcomes after total knee replacement using the Risk Assessment and Predictor Tool
Physiotherapy
|July 9, 2013
Summary
The Risk Assessment and Predictor Tool (RAPT) effectively predicts discharge destination and length of stay for total knee replacement (TKR) patients in Singapore. Higher RAPT scores correlate with longer hospital stays and influence discharge outcomes.
Area of Science:
- Orthopedic Surgery
- Health Services Research
- Predictive Analytics
Background:
- Total knee replacement (TKR) is a common procedure with variable postoperative outcomes.
- Accurate prediction of discharge destination and length of stay (LOS) is crucial for efficient healthcare resource allocation.
- The Risk Assessment and Predictor Tool (RAPT) has shown potential in predicting surgical outcomes.
Purpose of the Study:
- To evaluate the efficacy of the Risk Assessment and Predictor Tool (RAPT) as a pre-operative assessment for predicting postoperative discharge destination and length of stay (LOS) in total knee replacement (TKR) patients.
- To determine the predictive value of RAPT scores and preferred discharge destination (PDD) on actual discharge destination (ADDest) and LOS in a Singaporean cohort.
Main Methods:
- A prospective cohort study of 569 patients undergoing primary TKR at Singapore General Hospital.
- Patients completed a modified RAPT questionnaire pre-operatively.
- Multivariable logistic regression and regression analyses were used to assess the predictive accuracy of RAPT for discharge outcomes (ADDest and LOS).
Main Results:
- Total RAPT score significantly predicted LOS (R=0.24, P<0.001) and actual discharge to home (OR 2.32, 95% CI 1.11 to 4.85).
- Preferred discharge destination (PDD) was a significant predictor for both LOS (R=0.22, P<0.001) and ADDest (R=0.33, P<0.001).
- Patients preferring discharge home were significantly more likely to be discharged home (OR 9.79, 95% CI 5.07 to 18.89, P<0.001).
Conclusions:
- The RAPT score and PDD are significant predictors of actual discharge destination and length of stay following TKR in Singapore.
- Pre-operative prediction of discharge outcomes can aid in optimizing patient care and resource management.
- This tool can assist healthcare professionals and administrators in planning and resource allocation for TKR patients.