Resources Repository
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ReportPublication 2015Modeling to Improve Policy Decisions in the Americas: Noncommunicable Diseases
In the Region of the Americas, noncommunicable diseases (NCDs) are a clear threat not only …
In the Region of the Americas, noncommunicable diseases (NCDs) are a clear threat not only to human health, but also to a country’s economic development and growth. The evidence on both of these counts is compelling. In 2012, cardiovascular disease, diabetes, cancers, chronic respiratory conditions including asthma, and other NCDs were the cause of 4.5 million deaths in the Americas. Of that total number, 1.5 million of them were premature, occurring among people aged 30-69…
State-Transition | Health/Medicine | Priority Setting/Ethics | Costing Methods | Mathematical Models | Microsimulation | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Latin America & Caribbean -
ReviewPublication 2014Valuing Vaccination
Vaccination has led to remarkable health gains over the last century. However, large coverage gaps …
Vaccination has led to remarkable health gains over the last century. However, large coverage gaps remain, which will require significant financial resources and political will to address. In recent years, a compelling line of inquiry has established the economic benefits of health, at both the individual and aggregate levels. Most existing economic evaluations of particular health interventions fail to account for this new research, leading to potentially sizable undervaluation of those interventions. In line with…
Benefit-Cost Analysis | Health/Medicine | Preferences/Values | Priority Setting/Ethics | Costing Methods | Infectious Diseases | Health Systems | Economics/Finance | Global -
ReviewPublication 2014Markov Modeling & Discrete Event Simulation in Health Care: Systematic Comparison
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) …
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) for cost-effectiveness analysis (CEA) may alter healthcare resource allocation decisions. A systematic literature search and review of empirical and non-empirical studies comparing MM and DES techniques used in the CEA of healthcare technologies was conducted. The primary advantages described for DES over MM were the ability to model queuing for limited resources, capture individual patient histories, accommodate complexity and uncertainty,…
State-Transition | Health/Medicine | Mathematical Models | Microsimulation | Health Systems | Clinical Care -
GuidelinesPublication 2014Methods for Economic Evaluation Project
This report details the work of the Methods for Economic Evaluation Project (MEEP), which aims …
This report details the work of the Methods for Economic Evaluation Project (MEEP), which aims to promote a consistency in the methods used for economic evaluations. The report is targeted especially at low and middle-income countries (LMICs). The Bill and Melinda Gates Foundation is a major funder of health economic evaluations in LMICs, but there is substantial variation in the methods used and the quality of the analyses produced. The report drew on expertise from…
Benefit-Cost Analysis | Health/Medicine | Priority Setting/Ethics | Costing Methods | Cost-Effectiveness Analysis | Climate/Environment | Education/Labor | Global -
GuidelinesPublication 2012State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Task Force-3
State-transition modeling includes both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) …
State-transition modeling includes both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) microsimulation. These models have been used in many different populations and diseases, and their applications range from personalized health care strategies to public health programs. Most frequently, state-transition models are used in the evaluation of risk factor interventions, screening, diagnostic procedures, treatment strategies, and disease management programs. Recommendations are made on choice of model type (cohort vs. individual-level model), model…
State-Transition | Health/Medicine | Mathematical Models | Microsimulation -
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.…
Value of Information | Health/Medicine | Mathematical Models | Calibration/Validation -
ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
State-Transition | Health/Medicine | Mathematical Models | Microsimulation | Calibration/Validation | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Food/Agriculture -
ReviewPublication 2008Modeling Cervical Cancer Prevention in Developed Countries
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in …
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in order to evaluate the benefits and cost-effectiveness of primary and secondary interventions. This article is a review of mathematical models that have been used to evaluate HPV vaccination in the context of developed countries with existing screening programs. Despite variations in model assumptions and uncertainty in existing data, pre-adolescent vaccination of females in the setting of current screening practices has…
State-Transition | Health/Medicine | Mathematical Models | Dynamic Transmission | Microsimulation | Calibration/Validation | Infectious Diseases | Chronic Disease/Risk | Science/Technology -
ReviewPublication 2008Cost-Effectiveness of Vaccination: Review of Modelling Approaches
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After …
This review examines the modelling approaches used in cost-effectiveness analyses (CEAs) of vaccination programs. After overviewing the key attributes of models used in CEAs, a framework for categorizing theoretical models is presented. Categories are based on three main attributes: static/dynamic; stochastic/deterministic; and aggregate/individual based.
State-Transition | Health/Medicine | Mathematical Models | Dynamic Transmission | Microsimulation | Dynamic Simulation | Cost-Effectiveness Analysis | Infectious Diseases | Science/Technology | Global