Resources Repository
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ReportPublication 2013Decision and Simulation Modeling Alongside Systematic Reviews
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks …
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks to provide guidance for determining when incorporating a decision-analytic model alongside a systemic review would be of added value for decision making purposes. The chapter discusses the role of decision analysis and decision-analytic models in health care, specifically within the context of the current emphasis on evidence-based medicine and the proliferation of systematic reviews. It describes the types of model available…
Dynamic Simulation | Microsimulation | State-Transition | Clinical Care | Evidence Synthesis | Dynamic Transmission | Health Systems | Health/Medicine -
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 | Microsimulation | State-Transition | Environmental Health | Mathematical Models | Decision Analysis | Chronic Disease/Risk | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | 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 | Microsimulation | State-Transition | Environmental Health | Mathematical Models | Dynamic Transmission | Chronic Disease/Risk | Social Determinants | Health Systems | Climate/Environment | Culture/Society | Health/Medicine -
ReviewPublication 2016Strengthening Cost-Effectiveness Analysis for Public Health Policy
Many important opportunities to improve health lie outside the health sector and involve improving the …
Many important opportunities to improve health lie outside the health sector and involve improving the conditions in which we live and work: safe design and maintenance of roads, bridges, train tracks, and airports; control of environmental pollutants; occupational safety; healthy buildings; a safe and healthy food supply; safe manufacture of consumer products; a healthy social environment; and others. Faced with the overwhelming array of possibilities, U.S. decision makers need help identifying those that can contribute the…
Priority Setting/Ethics | Preferences/Values | Environmental Health | Costing Methods | Cost-Effectiveness Analysis | Social Determinants | Health Systems | Policy/Regulation | Climate/Environment | Economics/Finance | Food/Agriculture | Health/Medicine | North America -
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,…
Microsimulation | State-Transition | Clinical Care | Mathematical Models | Health Systems | Health/Medicine -
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…
Test Performance | Clinical Care | Infectious Diseases | Health/Medicine | 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…
Test Performance | Clinical Care | Infectious Diseases | Health/Medicine | Science/Technology | North America -
ReviewPublication 2022Significance of Advanced COVID-19 Diagnostic Testing in Pandemic Control Measures
Over the past two years of the COVID-19 pandemic, the scientific community has mounted significant …
Over the past two years of the COVID-19 pandemic, the scientific community has mounted significant efforts to combat the highly transmissible SARS-CoV-2 virus. Despite substantial progress in vaccines and treatments, leading to lower hospitalization and death rates, the virus has continued to evolve, primarily through mutations. From the onset, diagnostic tests have been crucial in identifying and controlling the virus spread. The scientific world has pioneered various diagnostic techniques, including nucleic acid, antigen, and antibody-based…
Test Performance | Clinical Care | Infectious Diseases | Health Systems | Health/Medicine | Science/Technology | North America -
ReviewPublication 2022Diagnostics for COVID-19: Moving from Pandemic Response to Control
Diagnostics are essential in managing the COVID-19 pandemic, with three primary methods for detecting SARS-CoV-2 …
Diagnostics are essential in managing the COVID-19 pandemic, with three primary methods for detecting SARS-CoV-2 infections. Each test type remains vital as we shift from responding to controlling the pandemic. Molecular tests, like PCR, are highly precise in identifying viral RNA and are endorsed by the WHO for confirming cases and guiding public health actions. Antigen rapid tests spot viral proteins and, while less accurate than molecular tests, are quicker, more affordable, simpler, and can…
Test Performance | Clinical Care | Infectious Diseases | Health Systems | Health/Medicine | Science/Technology