The adoption of proper measures is required to correctly allocate resources with respect to the patient needs, avoiding disparities, and containing the costs sustained by the health care system. The socioeconomic burden of care for postoperative rehabilitation of TJA is an emerging widespread issue. In recent years, the demand for total knee arthroplasty (TKA) and total hip arthroplasty (THA) is growing rapidly.Īlthough these procedures are safe treatments for OA, the costs associated with them are substantial.
Total joint arthroplasties (TJAs) are some of the most commonly performed elective orthopedic procedures for the management of osteoarthritis (OA). This is a level IV, systematic review of level III and IV study. Further studies confirming the predictive accuracy of RAPT at other institutions are needed as well as studies assessing the effect of using RAPT to identify patients for targeted interventions in terms of LOS, discharge disposition, clinical outcomes, and financial impact.
In the intermediate risk category, a targeted intensive postoperative rehabilitation program has demonstrated good results in reducing the uncertain outcome.Īlthough contrarily to many of the other scores, the RAPT has been validated in multiple countries with relatively similar results between different institutions however, its validity has yet to be tested and adapted in every nation context.
All analyzed studies demonstrated that RAPT could reduce LOS and accurately predict discharge disposition especially for high- and low-risk patients. Only original prospective or retrospective articles that analyze specifically the use of RAPT were included, whereas those concerned with other preoperative prediction tools or those only considering other aspects of recovery after joint replacements were excluded.Ī total of 27 references were retrieved, and 8 studies were selected. The databases of PubMed, Web of Sciences, Cochrane Library, and Pedro were searched for English studies on RAPT prediction capacity. The aim of this review is to describe its predictive ability, current utilization, and future prospects through the analysis of scientific literature.
0 kommentar(er)
