Resources Repository
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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).
Value of Information | Decision Theory | Priority Setting/Ethics | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine -
ArticlePublication 2022Economic Value of Clinical Artificial Intelligence
Artificial intelligence (AI) is increasingly used in clinical applications. Nevertheless, its flexibility and difficulties around …
Artificial intelligence (AI) is increasingly used in clinical applications. Nevertheless, its flexibility and difficulties around collecting data on its clinical impacts make value assessment challenging. This article uses a value framework as the basis for assessing how AI may create value depending on how it is used. Authors also provide advice to health economists seeking to model AI’s clinical impacts. There are multiple ways that AI challenges traditional health technology assessment methodology. Authors highlight several…
Value of Information | Technology Assessment | Economics/Finance | Science/Technology | Global -
ArticlePublication 2022Emerging Therapies for COVID-19: The Value of Information From More Clinical Trials
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face …
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face of uncertainty. This study aimed to quantify consequences of approving therapies or pursuing further research. The authors used a cohort state-transition model for hospitalized patients with COVID-19 to estimate quality-adjusted life-years (QALYs) and costs associated with multiple drug regimens and usual care. For each they assessed immediate approval, use only in research, emergency use authorization or reject. They conducted cost-effectiveness…
Value of Information | State-Transition | Benefit-Cost Analysis | Infectious Diseases | Policy/Regulation | Economics/Finance | North America | Europe -
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…
Dynamic Simulation | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Health/Medicine | Asia & Pacific -
ArticlePublication 2019Cost-Effectiveness of Latent TB Screening before Immigration to Low-Incidence Countries
Despite prospective migrants to countries where the incidence of TB is low receiving TB screening …
Despite prospective migrants to countries where the incidence of TB is low receiving TB screening for active infections, screening for latent TB infection before immigration is rare. The authors used discrete event simulation to evaluate the cost-effectiveness preimmigration latent TB infection screening for migrants to low-incidence countries. They calculated cost per quality-adjusted life-year gained for migrants from countries with different TB incidences. Their analysis when combined with research on sustainability, acceptability, and program implementation can…
Dynamic Simulation | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Government/Law | Health/Medicine | Global -
ArticlePublication 2017Using Data-Driven Agent-Based Models to Forecast Emerging Infectious Diseases
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which …
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which was subsequently used in the Ebola forecasting challenge. Producing timely and reliable forecasts for an epidemic of an emerging infectious disease is a challenge. Epidemiologists and policy makers have to deal with poor data quality, limited understanding of the disease dynamics, a rapidly changing social environment and the uncertainty around the effects of various interventions in place. In this setting,…
Dynamic Simulation | Microsimulation | Calibration/Validation | Infectious Diseases | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2017Likelihood Approach for Calibration of Stochastic Epidemic Models
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens …
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. This paper describes a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method applies a linear noise approximation to describe the size of the fluctuations, and…
Dynamic Simulation | Dynamic Transmission | Calibration/Validation | Infectious Diseases | Health Systems | Health/Medicine | Global -
ArticlePublication 2016Identifying Cost-Effective Dynamic Policies to Control Epidemics
This paper describes a mathematical decision model for identifying dynamic health policies for controlling epidemics. …
This paper describes a mathematical decision model for identifying dynamic health policies for controlling epidemics. The dynamic policies aim to select the best current intervention based on accumulating epidemic data and the availability of resources at each decision point. An algorithm is proposed to approximate dynamic policies that optimize the population's net health benefit, a performance measure which accounts for both health and monetary outcomes. The authors further illustrate how dynamic policies can be defined and…
Dynamic Simulation | Mathematical Models | Dynamic Transmission | Cost-Effectiveness Analysis | Infectious Diseases | Health/Medicine -
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 | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Chronic Disease/Risk | Social Determinants | Environmental Health | Health Systems | Climate/Environment | Culture/Society | Health/Medicine