A Simulation Model to Estimate the Cost and Effectiveness of Alternative Dialysis Initiation Strategies

Chris P. Lee, Glenn M. Chertow and Stefanos A. Zenios
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Chris P. Lee: Operations and Information Management Department, The Wharton School, University of Pennsylvania, PA
Glenn M. Chertow: Division of Nephrology, Department of Medicine, University of California San Francisco, CA
Stefanos A. Zenios: Graduate School of Business, Stanford University, CA, stefzen@stanford.edu

Medical Decision Making, 2006, vol. 26, issue 5, 535-549

Abstract: Background . Patients with end-stage renal disease (ESRD) require dialysis to maintain survival. The optimal timing of dialysis initiation in terms of cost-effectiveness has not been established. Methods . We developed a simulation model of individuals progressing towards ESRD and requiring dialysis. It can be used to analyze dialysis strategies and scenarios. It was embedded in an optimization frame worked to derive improved strategies. Results . Actual (historical) and simulated survival curves and hospitalization rates were virtually indistinguishable. The model overestimated transplantation costs (10%) but it was related to confounding by Medicare coverage. To assess the model's robustness, we examined several dialysis strategies while input parameters were perturbed. Under all 38 scenarios, relative rankings remained unchanged. An improved policy for a hypothetical patient was derived using an optimization algorithm. Conclusion . The model produces reliable results and is robust. It enables the cost-effetiveness analysis of dialysis strategies.

Keywords: chronic kidney disease; cost-effectiveness analysis; dialysis; computer simulation; Monte Carlo method (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:26:y:2006:i:5:p:535-549

DOI: 10.1177/0272989X06290488

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