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Simulation of Quality-Adjusted Survival in Chronic Diseases

Author

Listed:
  • Alison J. Hayes
  • Philip M. Clarke
  • Merryn Voysey
  • Anthony Keech

Abstract

Background . Recent studies have demonstrated that measures of health-related quality of life can predict complications and mortality in patients with diabetes, even after adjustment for clinical risk factors. Methods . The authors developed a simulation model of disease progression in type 2 diabetes to investigate the impact of patient quality of life on lifetime outcomes and its potential response to therapy. Changes in health utility over time are captured as a result of complications and aging. All risk equations, model parameter estimates, and input data were derived from patient-level data from the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial. Results . Healthier patients with type 2 diabetes enjoy more life years, quality-adjusted life years (QALYs), and more life years free of complications. A 65-year-old patient at full health (utility = 1) can expect to live approximately 2 years longer and achieve 6 more QALYs than a patient at average health (utility = 0.8), given similar clinical risk factors. For patients with higher EQ-5D utility, the additional years lived without complications contribute more to longer life expectancy than years lived with complications. Conclusions . The authors have developed a model for progression of disease in diabetes that has a number of novel features; it captures the observed relationships between measures of quality of life and future outcomes, the number of states have been minimized, and it can be parameterized with just 4 risk equations. Underlying the simple model structure is important patient-level heterogeneity in health and outcomes. The simulations suggest that differences in patients’ EQ-5D utility can account for large differences in QALYs, which could be relevant in cost-utility analyses.

Suggested Citation

  • Alison J. Hayes & Philip M. Clarke & Merryn Voysey & Anthony Keech, 2011. "Simulation of Quality-Adjusted Survival in Chronic Diseases," Medical Decision Making, , vol. 31(4), pages 559-570, July.
    • Handle: RePEc:sae:medema:v:31:y:2011:i:4:p:559-570
    DOI: 10.1177/0272989X11409049
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    References listed on IDEAS

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    1. Adrian Bagust & Sophie Beale, 2005. "Modelling EuroQol health‐related utility values for diabetic complications from CODE‐2 data," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 217-230, March.
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