The cost of health care in the United States is increasing at an unsustainable rate.1-3 To decrease or even reverse this trend, we must decrease the cost of care without adversely affecting quality. Porter4 defined value as the quality of care divided by its cost. The economics of total joint arthroplasty (TJA) has received a great deal of attention because of both increasing demand and increasing cost.5-9 About 33% of all orthopedic surgeries and the majority of TJAs are paid for by Medicare.9 In recent years, the rate of reimbursement for orthopedic cases has steadily declined while the cost of implants has increased.3,10,11 Given the significant cost of implants, health care providers in some subspecialties have focused on implant costs as a potential area for cost reduction.12 For example, in TJA this has proved effective in reducing the overall cost, as has decreasing length of stay after surgery.8,10,13-16
With little evidence suggesting any specific orthopedic implant has outcomes superior to those of others, with the exception of select poorly performing outliers, we must increase value of care by lowering the cost when considering these devices.17,18 In addition, some experts have suggested that intraoperative waste is a significant factor in TJA cost, and it does contribute to the average implant cost for a TJA case.6,19 Using data collected from 72 institutions, Zywiel and colleagues19 estimated the annual cost of wasted hip and knee arthroplasty implants to be more than $36 million in the United States.
However, considering the aging US population, TJA is not the only orthopedic surgery with increased demand. An estimated 600,000 spine surgeries are performed each year in the United States.20 Between 1992 and 2003, Medicare spending for lumbar spinal fusion increased 500%.21 In addition, in a 15-month observational study of incidence of intraoperative waste in spine surgery, Soroceanu and colleagues22 reported waste occurring in 20% of spine procedures.
Although these studies have described implant waste in TJA and spine surgeries, little has been published on the cost of wasted implants in a center performing the full range of orthopedic procedures. In this article, we detail the implant waste costs incurred by surgeons for all orthopedic subspecialties at a single orthopedic specialty hospital over a 1-year period. Our study goals were to identify types of implants wasted, and incidence and cost of implant waste, for all total hip arthroplasties (THAs), total knee arthroplasties (TKAs), and lumbar spinal fusions performed at the hospital and to determine whether case volume or years in surgical practice affect the rate or cost of implants wasted.
Methods
We performed a retrospective economic analysis of 1 year of administrative implant data from our institution. Collected data were quantified and analyzed for factors that might explain any variance in implant waste among surgeons. We were granted exempt institutional review board status, as no patient information was involved in this study.
We reviewed the administrative implant data for the 12-month period beginning June 2012 and ending May 2013. For that period, number of cases in which an implant was used and number of cases in which an implant was wasted were recorded. For each instance of waste, type and cost of the wasted implant were entered into the administrative database. In addition, overall cost of implants for the year and cost of wasted implants were determined. Data were available for 81 surgeons across 8 orthopedic divisions (subspecialties). From this information, we determined percentage of cases in which waste occurred, percentage of total implant cost wasted, average cost of waste per case, and most commonly wasted implants. All 3 variables were also calculated for THAs, TKAs, and lumbar spinal fusion procedures.
Statistical Analysis
The data were analyzed to determine if surgeon case volume or years in surgical practice affected implant waste. All analyses were performed at department, division (subspecialty), and surgeon levels. Case volume was analyzed in 3 groups: top 25%, middle 50%, and lower 25%. Number of years in surgical practice was analyzed in 3 groups: fewer than 10 years, 10 to 19 years, and 20 years or more. Normality assumption of variables was tested using the Shapiro-Wilk test (P < .05). For between-group differences, 1-way analysis of variance and the Tukey honestly significant difference post hoc test were performed for variables with a normal distribution, and the Kruskal-Wallis and Mann-Whitney tests were performed for variables without a normal distribution.
For the subspecialty-level analyses, only the Adult Reconstruction, Sports Medicine, and Spine divisions were analyzed for the effects of volume, and only the Sports Medicine and Spine divisions were analyzed for the effect of surgical experience, as surgeon numbers were insufficient for adequate grouping(s).