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).
Decision Theory | Economics/Finance | Priority Setting/Ethics | Value of Information | Cost-Effectiveness Analysis | Health/Medicine -
ArticlePublication 2010Alternative Strategies to Reduce Maternal Mortality in India: A Cost-Effectiveness Analysis
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy …
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy and childbirth safety in India. Country- and region-specific data were synthesized using a computer-based model that simulates the natural history of pregnancy and pregnancy-associated complications in individual women, and considers delivery location, attendant, and facility level. Model validation compared projected maternal indicators with empiric data. Strategies consisted of improving coverage of effective interventions that could be provided individually or packaged…
Microsimulation | Economics/Finance | Evidence Synthesis | Mathematical Models | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health/Medicine | Global | Asia & Pacific -
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…
Technology Assessment | Economics/Finance | Value of Information | Science/Technology | Global -
ArticlePublication 2021Rational Policymaking during a Pandemic
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and …
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and its global impacts are unprecedented, decisions are taken in a highly uncertain, complex, and rapidly changing environment. In such a context, in which human lives and the economy are at stake, the authors argue that using ideas and constructs from modern decision theory, even informally, will make policymaking a more responsible and transparent process.
Decision Theory | Government/Law | Priority Setting/Ethics | Infectious Diseases | Policy/Regulation | Health/Medicine | Science/Technology | Global -
EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Technology Assessment | Government/Law | Probability/Bayes | Test Performance | Infectious Diseases | Health Systems | Policy/Regulation | Health/Medicine | Global | North America -
ArticlePublication 2016Health and Economic Benefits of Public Financing of Epilepsy Treatment in India
This study uses extended cost-effectiveness analysis (ECEA) to evaluate the impact of three scenarios of …
This study uses extended cost-effectiveness analysis (ECEA) to evaluate the impact of three scenarios of publicly financed national epilepsy programs in India that provide (1) first line antiepilepsy drugs (AEDs), (2) first- and second-line AEDs, and (3) first- and second-line AEDs and surgery. Outcome measures include disability-adjusted life years (DALYs) averted, and cost per DALY averted. Economic benefit measures estimated include out-of-pocket (OOP) expenditure averted and money-metric value of insurance. All three scenarios represent a…
Microsimulation | Economics/Finance | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Asia & Pacific -
ReportPublication 2010Priorities for the National Vaccine Plan
The authors examine the complexities of the vaccine enterprise, a fundamental component of preventive medicine …
The authors examine the complexities of the vaccine enterprise, a fundamental component of preventive medicine and public health, from research and development of new vaccines to financing and reimbursement of immunization services. The current climate, socially, economically and politically, presents challenges and opportunities to the U.S. to strengthen the existing systems of developing, manufacturing, regulating, distributing, funding, and administering safe and effective vaccines for all people. The authors present recommendations for priority actions intended to…
Technology Assessment | Economics/Finance | Evidence Synthesis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Policy/Regulation | Health/Medicine | Science/Technology | North America -
ArticlePublication 2017Cost-Effectiveness of Testing and Treatment for Latent TB
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve …
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve TB elimination in the United States. This analysis estimated health outcomes, costs, and cost-effectiveness of LTBI testing and treatment among non-US born residents with and without medical comorbidities (e.g., diabetes, HIV infection, and end-stage renal disease). A decision analytic tree and Markov cohort simulation model was used to compare the following strategies: no testing, tuberculin skin test (TST), interferon gamma release assay…
Microsimulation | Economics/Finance | Test Performance | State-Transition | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Health/Medicine | Global | North America -
Tutorial/PrimerWeb Portal, Teaching Resource 2015Decision Theory
This chapter on normative decision theory is from the Stanford Encyclopedia of Philosophy, a dynamic reference …
This chapter on normative decision theory is from the Stanford Encyclopedia of Philosophy, a dynamic reference work available online. Decision theory is concerned with the reasoning underlying an person's choices, whether a mundane choice between taking the bus or getting a taxi, or a more far-reaching choice about whether to pursue a demanding political career. The orthodox normative decision theory, expected utility (EU) theory, essentially says that, in situations of uncertainty, one should prefer the option…
Decision Theory | Economics/Finance | Preferences/Values | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy