Andrew H Briggs1,2, Timothy Baker2, Nancy A Risebrough3, Mike Chambers4, Sebastian Gonzalez-McQuire5, Afisi S Ismaila6,7, Alex Exuzides8, Chris Colby8, Maggie Tabberer5, Hana Muellerova9, Nicholas Locantore6, Maureen P M H Rutten van Mölken10, David A Lomas11. 1. Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom (AHB). 2. ICON Plc, Morristown, NJ, USA (AHB, TB). 3. ICON Plc, Toronto, ON, Canada (NAR). 4. Global Market Access and Healthcare Solutions, GSK, Brentford, UK (MC). 5. Value Evidence and Outcomes (SG-M, MT), GSK R&D, Uxbridge, UK. 6. Value Evidence and Outcomes, GSK R&D, Research Triangle Park, NC, USA (ASI, NL). 7. Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada (ASI). 8. ICON Plc, San Francisco, CA, USA (AE, CC). 9. Worldwide Epidemiology (HM), GSK R&D, Uxbridge, UK. 10. Institute for Medical Technology Assessment, Erasmus University, Rotterdam, the Netherlands (MPMHRvM). 11. University College London, London, United Kingdom (DAL).
Abstract
BACKGROUND: The recent joint International Society for Pharmacoeconomics and Outcomes Research / Society for Medical Decision Making Modeling Good Research Practices Task Force emphasized the importance of conceptualizing and validating models. We report a new model of chronic obstructive pulmonary disease (COPD) (part of the Galaxy project) founded on a conceptual model, implemented using a novel linked-equation approach, and internally validated. METHODS: An expert panel developed a conceptual model including causal relationships between disease attributes, progression, and final outcomes. Risk equations describing these relationships were estimated using data from the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) study, with costs estimated from the TOwards a Revolution in COPD Health (TORCH) study. Implementation as a linked-equation model enabled direct estimation of health service costs and quality-adjusted life years (QALYs) for COPD patients over their lifetimes. Internal validation compared 3 years of predicted cohort experience with ECLIPSE results. RESULTS: At 3 years, the Galaxy COPD model predictions of annual exacerbation rate and annual decline in forced expiratory volume in 1 second fell within the ECLIPSE data confidence limits, although 3-year overall survival was outside the observed confidence limits. Projections of the risk equations over time permitted extrapolation to patient lifetimes. Averaging the predicted cost/QALY outcomes for the different patients within the ECLIPSE cohort gives an estimated lifetime cost of £25,214 (undiscounted)/£20,318 (discounted) and lifetime QALYs of 6.45 (undiscounted/5.24 [discounted]) per ECLIPSE patient. CONCLUSIONS: A new form of model for COPD was conceptualized, implemented, and internally validated, based on a series of linked equations using epidemiological data (ECLIPSE) and cost data (TORCH). This Galaxy model predicts COPD outcomes from treatment effects on disease attributes such as lung function, exacerbations, symptoms, or exercise capacity; further external validation is required.
RCT Entities:
BACKGROUND: The recent joint International Society for Pharmacoeconomics and Outcomes Research / Society for Medical Decision Making Modeling Good Research Practices Task Force emphasized the importance of conceptualizing and validating models. We report a new model of chronic obstructive pulmonary disease (COPD) (part of the Galaxy project) founded on a conceptual model, implemented using a novel linked-equation approach, and internally validated. METHODS: An expert panel developed a conceptual model including causal relationships between disease attributes, progression, and final outcomes. Risk equations describing these relationships were estimated using data from the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) study, with costs estimated from the TOwards a Revolution in COPD Health (TORCH) study. Implementation as a linked-equation model enabled direct estimation of health service costs and quality-adjusted life years (QALYs) for COPDpatients over their lifetimes. Internal validation compared 3 years of predicted cohort experience with ECLIPSE results. RESULTS: At 3 years, the Galaxy COPD model predictions of annual exacerbation rate and annual decline in forced expiratory volume in 1 second fell within the ECLIPSE data confidence limits, although 3-year overall survival was outside the observed confidence limits. Projections of the risk equations over time permitted extrapolation to patient lifetimes. Averaging the predicted cost/QALY outcomes for the different patients within the ECLIPSE cohort gives an estimated lifetime cost of £25,214 (undiscounted)/£20,318 (discounted) and lifetime QALYs of 6.45 (undiscounted/5.24 [discounted]) per ECLIPSE patient. CONCLUSIONS: A new form of model for COPD was conceptualized, implemented, and internally validated, based on a series of linked equations using epidemiological data (ECLIPSE) and cost data (TORCH). This Galaxy model predicts COPD outcomes from treatment effects on disease attributes such as lung function, exacerbations, symptoms, or exercise capacity; further external validation is required.
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