Resources Repository
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ReportPublication 2021What It Means to Be a Science-Literate Citizen in a Digital World
Science literacy is often held up as crucial for avoiding science-related misinformation and enabling more …
Science literacy is often held up as crucial for avoiding science-related misinformation and enabling more informed individual and collective decision-making. But research has not yet examined whether science literacy actually enables this, nor what skills it would need to encompass to do so. This report addresses three questions to outline what it should mean to be science literate in today’s world: (1) How should we conceptualize science literacy? (2) How can we achieve this science…
Energy/Engineering | Health/Medicine | Decision Psychology | Preferences/Values | Social Determinants | Culture/Society | Education/Labor | Science/Technology | Global | North America -
ReportPublication 2017Communicating Science Effectively: A Research Agenda
Science and technology are embedded in virtually every aspect of modern life. As a result, …
Science and technology are embedded in virtually every aspect of modern life. As a result, people face an increasing need to integrate information from science with their personal values and other considerations as they make important life decisions about medical care, the safety of foods, what to do about climate change, and many other issues. Communicating science effectively, however, is a complex task and an acquired skill. Moreover, the approaches to communicating science that will…
Energy/Engineering | Health/Medicine | Decision Psychology | Preferences/Values | Priority Setting/Ethics | Social Determinants | Climate/Environment | Culture/Society | Education/Labor | Science/Technology | North America -
ReviewPublication 2015Agent-Based Models and Microsimulation
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models …
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models used to simulate the actions and interactions of “agents” within a system. Usually, each agent has a set of rules for how he or she responds to the environment and to other agents. These models are used to gain insight into the emergent behavior of complex systems with many agents, in which the emergent behavior depends upon the micro-level behavior…
Energy/Engineering | Health/Medicine | Mathematical Models | State-Transition | Microsimulation | Dynamic Simulation | Military/Defense | Science/Technology -
ReviewPublication 2001Modeling for Health Care and Other Policy Decisions: Uses, Roles and Validity
This is a review article of the role of modeling approaches to guide decision making …
This is a review article of the role of modeling approaches to guide decision making in health care and other domains. The role of models to support recommendations on the cost-effective use of medical technologies and pharmaceuticals is controversial. At the heart of the controversy is the degree to which experimental or other empirical evidence should be required prior to model use. The authors argue that the controversy stems in part from a misconception that…
Energy/Engineering | Health/Medicine | Priority Setting/Ethics | Evidence Synthesis | Mathematical Models | Technology Assessment | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Government/Law | North America -
ReviewPublication 1982Decision Analysis: An Overview
This article, written for the non-decision analyst, describes what decision analysis is, what it can …
This article, written for the non-decision analyst, describes what decision analysis is, what it can and cannot do, why one should care to do this, and how one does it. Keeney describes decision analysis as "a formalization of common sense for decision problems which are too complex for informal use of common sense." He provides a more technical definition also, describing decision analysis as "a philosophy, articulated by a set of logical axioms, and a methodology…
Energy/Engineering | Health/Medicine | Decision Theory | Preferences/Values | Decision Analysis | Policy/Regulation | Business/Industry | Economics/Finance | Government/Law | Military/Defense | Science/Technology -
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…
Health/Medicine | Cost-Effectiveness Analysis | Chronic Disease/Risk | 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).
Health/Medicine | Decision Theory | Priority Setting/Ethics | Value of Information | Cost-Effectiveness Analysis | Economics/Finance -
ReviewPublication 2021Considerations for Diagnostic COVID-19 Tests
During the initial stages of the COVID-19 pandemic, there was a rush by numerous diagnostic …
During the initial stages of the COVID-19 pandemic, there was a rush by numerous diagnostic test manufacturers to create, validate, and implement testing methods. This review discusses the pivotal role of diagnostic tests during the pandemic's first global wave, highlighting the challenges in technology and implementation experienced early on. The study also offers insights for enhancing the use of diagnostics, especially syndromic ones, should there be future spikes or regional outbreaks of COVID-19. The overarching…
Health/Medicine | Test Performance | Infectious Diseases | Clinical Care | Science/Technology | North America -
ReviewPublication 2022Rapid, Point-of-Care Antigen Tests for Diagnosis of SARS-CoV-2 Infection
This study reviewed the diagnostic accuracy of rapid, point-of-care antigen tests for detecting SARS-CoV-2 infection, …
This study reviewed the diagnostic accuracy of rapid, point-of-care antigen tests for detecting SARS-CoV-2 infection, differentiating results between symptomatic and asymptomatic individuals. Using data from 155 study cohorts, the study found that the sensitivity of antigen tests was generally higher for symptomatic individuals, especially during the first week after symptom onset, due to higher viral loads. For example, average sensitivity was higher in symptomatic (73.0%) compared to asymptomatic participants (54.7). Average sensitivity was higher in…
Health/Medicine | Test Performance | Infectious Diseases | Clinical Care | Science/Technology | North America