Resources Repository
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GuidelinesPublication 2012Conceptualizing a Model: A Report of the ISPOR-SMDM Modeling Task Force-2
This article provides a series of consensus-based best practices regarding the process of model conceptualization, …
This article provides a series of consensus-based best practices regarding the process of model conceptualization, specifically when models are used to inform medical decisions and health-related resource allocation. The authors divide the conceptualization process into two distinct components: the conceptualization of the problem, which converts knowledge of the health care process or decision into a representation of the problem, followed by the conceptualization of the model itself, which matches the attributes and characteristics of a…
Mathematical Models | Decision Analysis | Health/Medicine -
GuidelinesPublication 2012Model Parameter Estimation and Uncertainty Analysis: A Report of the ISPOR-SMDM Modeling Task Force-6
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity …
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity analysis techniques and probabilistic methods. Stochastic (first-order) uncertainty is distinguished from both parameter (second-order) uncertainty and from heterogeneity, with structural uncertainty relating to the model itself forming another level of uncertainty. The article describes the process of estimating model inputs, whether these are point estimates or distributions. It also explores the link between parameter uncertainty, decision uncertainty, and value-of-information analysis.…
Mathematical Models | Calibration/Validation | Value of Information | Health/Medicine -
ReviewPublication 2011Dynamic Microsimulation Models for Health Outcomes: A Review
This review article presents an overview of microsimulation modeling, focusing on the development and application …
This review article presents an overview of microsimulation modeling, focusing on the development and application of these models for health policy questions. Microsimulation models for health outcomes simulate individual event histories associated with key components of a disease process; these simulated life histories can be aggregated to estimate population-level effects of treatment on disease outcomes and the comparative effectiveness of treatments. The authors argue that methodological improvements in modeling approaches have been slowed by the…
Microsimulation | Calibration/Validation | Health Outcomes | Health/Medicine -
GuidelinesPublication 2011Calibrating Models in Economic Evaluation
This article provides guidance on the theoretical underpinnings of different calibration methods used for mathematical …
This article provides guidance on the theoretical underpinnings of different calibration methods used for mathematical models for economic evaluations. The calibration process is divided into seven steps and different potential methods at each step are discussed, focusing on the particular features of disease models in economic evaluation. The seven steps are (i) Which parameters should be varied in the calibration process? (ii) Which calibration targets should be used? (iii) What measure of goodness of fit…
Mathematical Models | Calibration/Validation | Health/Medicine -
ReviewPublication 2010Validation of Population-Based Disease Simulation Models: A Review
This article develops a framework for validating population-based chronic disease simulation models, and reviews the …
This article develops a framework for validating population-based chronic disease simulation models, and reviews the principles and methods for such models. While computer simulation models are used increasingly to support public health research and policy, questions about their quality persist. Based on the review, the authors formulated a set of recommendations for gathering evidence of model credibility. They find that evidence of model credibility derives from examining: 1) the process of model development, 2) the…
Mathematical Models | Calibration/Validation | Chronic Disease/Risk | Social Determinants | Health/Medicine -
ReviewPublication 2003Public Health Policy and Cost-Effectiveness Analysis
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to …
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to rigorously evaluate alternatives to reduce mortality from cervical cancer. Scientific advances have provided opportunities over time to revisit strategies for cervical cancer prevention. How to invest health resources wisely, such that public health benefits are maximized-and opportunity costs are minimized-is a critical question in the setting of enhanced cytologic screening methods, human papillomavirus DNA testing, and vaccine development. Developing sound…
Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Policy/Regulation | Health/Medicine | Global -
ReviewPublication 2024Cost-Effectiveness of Newer Pharmacologic Treatments in Adults with Type 2 Diabetes: Systematic Review of Cost-Effectiveness Studies for the American College of Physicians
This systematic review examines the cost-effectiveness of newer antidiabetes medications for type 2 diabetes in …
This systematic review examines the cost-effectiveness of newer antidiabetes medications for type 2 diabetes in the United States. The study screened nonindustry-funded cost-effectiveness analyses (CEAs) conducted from 2010 to 2023, focusing on estimating cost per quality-adjusted life-year (QALY) gained. Nine CEAs met the criteria, evaluating medications such as glucagon-like peptide-1 agonists (GLP1a), dipeptidyl peptidase-4 inhibitors (DPP4i), and sodium–glucose cotransporter-2 inhibitors (SGLT2i), among others. Comparisons were made against metformin, sulfonylureas, neutral protamine Hagedorn (NPH) insulin, and…
Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | North America -
ReviewPublication 2021Review of Web-Based Tools for Value-of-Information Analysis
Value-of-information analysis (VOI) is an analytic approach used to inform research priorities, guide clinical trial …
Value-of-information analysis (VOI) is an analytic approach used to inform research priorities, guide clinical trial design, and provide information for decisions about reimbursement. The authors review existing web-based tools to facilitate VOI calculations. These include Sheffield Accelerated Value of Information (SAVI), the web interface to the BCEA (Bayesian Cost-Effectiveness Analysis) R package (BCEAweb), Rapid Assessment of Need for Evidence (RANE), and Value of Information for Cardiovascular Trials and Other Comparative Research (VICTOR).
Cost-Effectiveness Analysis | Decision Theory | Priority Setting/Ethics | Value of Information | Economics/Finance | Health/Medicine -
ReviewPublication 2022Systematic Review of Economic Evaluations of COVID-19 Interventions: Non-Health Impacts and Distributional Issues
The authors conducted a systematic review of economic evaluations of COVID-19 interventions and assessed whether …
The authors conducted a systematic review of economic evaluations of COVID-19 interventions and assessed whether they incorporated non-health impacts and distributional concerns. Among the 70 articles included, more than half (56%) included at least one non-health impact, although only 21% incorporated non-economic consequences. Only 17% examined subgroups of interest. The median ICER for the entire sample was $67,000/quality-adjusted life-year (QALY) (interquartile range [IQR] $9000-$893,000/QALY). Interventions including a pharmaceutical component yielded a median ICER of $93,000/QALY (IQR…
Cost-Effectiveness Analysis | Evidence Synthesis | Infectious Diseases | Social Determinants | Culture/Society | Economics/Finance | Health/Medicine | North America