Patients who undergo total joint arthroplasty (TJA) are at a high risk for the development of thromboembolic complications. The rate at which venous thromboembolism occurs following TJA has been reported to be between 1.3–9.4%. As a result, the utilization of prophylactic therapies is considered standard of care in this patient population. The primary purpose of the current study was to 1) evaluate patient satisfaction with the use of intermittent compression devices 2) evaluate the risk of self-reported falls secondary to the use of these devices following TJA. This is a single institution, prospective study on patients who underwent TJA at an urban, academic orthopedic specialty hospital. Patients were surveyed using an electronic patient rehabilitation application regarding their use and satisfaction with their home intermittent compression devices with a battery and power cord attachment that the patient must wear while using the devices. They were also asked if any falls or near-falls they may have experienced. Surveys were administered on postoperative Day 14, and patients were given 10 days to submit their responses. Using our institutions data warehouse, patient demographics were also collected (Table 1).Introduction
Methods
Revision total knee arthroplasty (rTKA) accounts for approximately 5% to 10% of all TKAs. Although the complexity of these procedures is well recognized, few investigators have evaluated the cost and value-added with the implementation of a dedicated revision arthroplasty service. The aim of the present study is to compare and contrast surgeon productivity in several differing models of activity. All patients that underwent primary or revision TKA from January 2016 to June 2018 were included as the primary source of data. All rTKA patients were categorized by the number of components revised (e.g. liner exchange, two or more components). Three models were used to assess the potential surgical productivity of a dedicated rTKA service : 1) work relative value unit (RVU) Aims
Materials and Methods
