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Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_12 | Pages 40 - 40
1 Oct 2019
Murphy WS Harris S Lin B Cheng T Murphy SB
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Introduction

Total Hip Arthroplasty has been shown to have excellent long term outcomes, yet early reoperation remains a risk. The current study assesses the incidence, causes, and cost associated with early revision following elective primary THA in the US Medicare population.

Methods

The study used the Limited Data Set (LDS) from the Centers for Medicate and Medicaid Services (CMS) to identify all primary THA (DRG 469/470) performed in the US (excluding Maryland) during 2016. All cases were followed for one year after the original date of operation to create a database of readmissions after surgery. These data allowed for the determination of the 1-year incidence and type of reoperation, the timing of reoperation, the admitting diagnosis, hospital utilization, and total cost.


Orthopaedic Proceedings
Vol. 100-B, Issue SUPP_13 | Pages 25 - 25
1 Oct 2018
Murphy W Cheng T Murphy SB
Full Access

Introduction

Patient demand for hip and knee arthroplasty continues to rise. Information sources providing data on the volume and cost of Medicare total joint arthroplasty by hospital are of use to patients and healthcare professionals. Data have demonstrated that higher volume surgeons are associated with lower cost, morbidity, and mortality. The current study assesses if the same is true for hospitals.

Methods

The Limited Data Set (LDS) from the Centers for Medicare and Medicaid (CMS) were used for this study. All elective, DRG 470 Total Hip Arthroplasties (THA) reported by CMS from the first quarter of 2013 through the second quarter of 2016 were included. Volume and part A Medicare payments over a 90-day period for the 20 highest volume hospitals in the US were analyzed. Cost associated with initial hospital stay and post discharge skilled nursing, home health, long term acute care, inpatient rehabilitation facilities, and readmission was aggregated and analyzed. For each episode, demographic information (age, sex, and race), geographic location, and Elixhauser comorbidities were calculated to control for major confounding factors in the regression.