ArticleMedical decision making : an international journal of the Society for Medical Decision Making2025
Using QALYs as an Outcome for Assessing Global Prediction Accuracy in Diabetes Simulation Models.
Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
6 authors.
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Abstract
objectives(1) To demonstrate the use of quality-adjusted life-years (QALYs) as an outcome measure for comparing performance between simulation models and identifying the most accurate model for economic evaluation and health technology assessment. QALYs relate directly to decision making and combine mortality and diverse clinical events into a single measure using evidence-based weights that reflect population preferences. (2) To explore the usefulness of Q
methodsWe simulated all EXSCEL trial participants (
resultsUKPDS-OM2 predicted patients' QALYs more accurately than UKPDS-OM1 did (MSE: 0.210 v. 0.253; Q
conclusionsQ HIGHLIGHTS: Diabetes simulation models are currently validated by examining their ability to predict the incidence of individual events (e.g., myocardial infarction, stroke, amputation) or composite events (e.g., first major adverse cardiovascular event).We introduce Q
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