Predicting the burden of revision knee arthroplasty: simulation of a 20-year horizon

Guerrero-Ludueña, Richard E.; Comas Serrano, Mercè; Espallargues, Mireia; Coll, Moisès; Pons, Miquel; Sabatés, Santiago; Allepuz, Alejandro; Castells, Xavier

doi:http://dx.doi.org/10.1016/j.jval.2016.02.018

Predicting the burden of revision knee arthroplasty: simulation of a 20-year horizon

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Guerrero-Ludueña RE, Comas M, Espallargues M, Coll M, Pons M, Sabatés S, et al. Predicting the burden of revision knee arthroplasty: simulation of a 20-year horizon. Value Health. 2016 Jul-Aug;19(5):680-7. DOI: 10.1016/j.jval.2016.02.018

Abstract

Objectives: To estimate future utilization scenarios for knee arthroplasty (KA) revision in the Spanish National Health System in the short- and long-term and their impact on primary KA utilization. Methods: A discrete-event simulation model was built to represent KA utilization for 20 years (2012-2031) in the Spanish National Health System. Data on KA utilization from 1997 to 2011 were obtained from the minimum data set. Three scenarios of future utilization of primary KA (1, fixed number since 2011; 2, fixed age- and sex-adjusted rates since 2011; and 3, projection using a linear regression model) were combined with two prosthesis survival functions (W [worse survival], from a study including primary KA from 1995 to 2000; and B [better survival], from the Catalan Registry of Arthroplasty, including primary KA from 2005 to 2013). The simulation results were analyzed in the short-term (2015) and the long-term (2030). Results: Variations in the number of revisions depended on both the primary utilization rate and the survival function applied, ranging from increases of 8.3% to 31.6% in the short- term and from 38.3% to 176.9% in the long-term, corresponding to scenarios 1-B and 3-W, respectively. The prediction of increases in overall surgeries ranged from 0.1% to 22.3% in the short-term and from 3.7% to 98.2% in the long-term. Conclusions: Projections of the burden of KA provide a quantitative basis for future policy decisions on the concentration of high-complexity procedures, the number of orthopedic surgeons required to perform these procedures, and the resources needed.