Resources Repository
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ArticlePublication 2013Agent-Based Simulation Modelling Approach to ECEA of Health Interventions
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, …
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, to estimate the health and economic benefits of health interventions and policies. Authors examined two different policies that can scale up the availability of drugs for secondary prevention of acute myocardial infarction (AMI) in India: a universal public provision (UPP) that provides a drug for free at public health facilities, and a universal public finance (UPF) that provides a drug…
Priority Setting/Ethics | Dynamic Simulation | Health/Medicine | Chronic Disease/Risk | Cost-Effectiveness Analysis | Social Determinants | Policy/Regulation | Asia & Pacific -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Probability Revision and Bayes
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications …
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications of imperfect information, acquire a conceptual understanding of Bayes theorem, and gain practical skills in performing probability revision. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, sample exercises, and additional support. Learning Objectives Demonstrate a conceptual understanding of Bayes’ theorem and probability revision. Differentiate between test characteristics (e.g., probability of positive test given…
Probability/Bayes | Test Performance | Health/Medicine | Environmental Health | Decision Analysis | College | Graduate | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
ArticlePublication 2017When Cost-Effective Interventions Are Unaffordable
Many health interventions deemed cost-effective are not affordable. Despite the importance of affordability to policymakers, …
Many health interventions deemed cost-effective are not affordable. Despite the importance of affordability to policymakers, little of the cost-effectiveness literature in global health addresses this issue. Budget impact analysis (BIA) describes an intervention's short-term costs and savings from the payer's perspective. This paper assesses the current use of budget impact analysis (BIA) and cost-effectiveness analysis (CEA) in health economic assessments conducted for low- and middle-income countries (LMICs). The authors recommend steps researchers and policymakers can…
Priority Setting/Ethics | Health/Medicine | Science/Technology | Chronic Disease/Risk | Costing Methods | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Economics/Finance | Government/Law | Global -
ArticlePublication 2017Household Energy Interventions in Haryana, India: An Extended CEA
In this paper, the authors examine the use of solid fuels as a primary energy …
In this paper, the authors examine the use of solid fuels as a primary energy source for cooking in India, which contributes to high rates of infant and child mortality as well as other diseases caused by household air pollution (HAP). To achieve the widespread adoption of one of three interventions – a mud chimney stove, a blower stove, and LPG use—the government needs to offer subsidies to households using solid fuels. While the reduction…
Priority Setting/Ethics | Science/Technology | Environmental Health | Chronic Disease/Risk | Cost-Effectiveness Analysis | Social Determinants | Policy/Regulation | Climate/Environment | Economics/Finance | Energy/Engineering | Asia & Pacific -
ArticlePublication 2017Reduced Burden of Childhood Diarrheal Diseases through Increased Access to Water and Sanitation in India: Modeling Analysis
This analysis estimates the health and economic benefits of scaling up the coverage of piped …
This analysis estimates the health and economic benefits of scaling up the coverage of piped water and improved sanitation to a near-universal 95% level among Indian households. The authors used an agent-based microsimulation platform, IndiaSim, to model disease progression and individual healthcare-seeking behavior in India, and use ECEA to estimate health and economic outcomes over time. They found that scaling up access to piped water and improved sanitation could avert 43,352 diarrheal episodes and 68…
Priority Setting/Ethics | Health/Medicine | Science/Technology | Environmental Health | Costing Methods | Health Outcomes | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Social Determinants | Economics/Finance | Energy/Engineering | Asia & Pacific -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Dynamic Simulation | Health/Medicine | Environmental Health | Chronic Disease/Risk | Mathematical Models | State-Transition | Microsimulation | Decision Analysis | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | North America -
ReviewPublication 2016Choosing an Epidemiological Model Structure for Economic Evaluation
This review presents a taxonomy of epidemiological model structures and applies it to the economic …
This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Growing pressures on health services and on social care have led to a greater need for prevention of chronic diseases. In order for decision makers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of…
Dynamic Simulation | Health/Medicine | Environmental Health | Chronic Disease/Risk | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Social Determinants | Health Systems | Climate/Environment | Culture/Society -
ArticlePublication 2016Accounting for Technical, Ethical, and Political Factors in Priority Setting
This article investigates two cases of priority setting to explore how, in addition to technical …
This article investigates two cases of priority setting to explore how, in addition to technical considerations, ethical and political factors shape the allocation of health resources. First, they discuss how Thai authorities adjudicated a coverage decision for HLA-B*1502 screening, which meets the national cost-effectiveness threshold for only some of the conditions it can detect. Second, they consider England’s Cancer Drugs Fund to investigate the interplay of technical decision making and political reality. The findings suggest four concluding…
Priority Setting/Ethics | Health/Medicine | Science/Technology | Chronic Disease/Risk | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Climate/Environment | Government/Law | Global | Europe -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Calibration/Validation | Health/Medicine | Science/Technology | Chronic Disease/Risk | Evidence Synthesis | Mathematical Models | Health Systems | Clinical Care | North America