Resources Repository
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ArticlePublication 2022Comparison of Home Antigen Testing With RT-PCR and Viral Culture During the Course of SARS-CoV-2 Infection
As the availability of at-home self-collected antigen tests for SARS-CoV-2 increases, understanding their efficacy is …
As the availability of at-home self-collected antigen tests for SARS-CoV-2 increases, understanding their efficacy is crucial. A study in San Diego and Denver between January and May 2021 assessed the reliability of these tests against standard RT-PCR tests and viral cultures. Of the 225 participants with confirmed infections, the antigen test sensitivity was found to be 50% during the infectious period, 64% against the same-day RT-PCR, and 84% against the same-day cultures. Sensitivity was highest…
Test Performance | Science/Technology | Infectious Diseases | Clinical Care | Culture/Society | Health/Medicine -
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 | Science/Technology | Infectious Diseases | Health Systems | Clinical Care | 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…
Technology Assessment | Science/Technology | Value of Information | Economics/Finance | Global -
EditorialPublication 2021Scientific and Regulatory Challenges in Designing mHealth Interventions
Scientists looking for innovative ways to deliver health care have long searched for mechanisms that …
Scientists looking for innovative ways to deliver health care have long searched for mechanisms that can enable the right intervention to be delivered at the right time. Traditional delivery mechanisms have been limited both to the availability of a provider (e.g., a physician) and the location of care (e.g., a hospital or outpatient clinic). In recent years, however, numerous technological advancements—including wearable devices, mobile technologies, and the widespread development and use of user-friendly smartphone applications—have…
Technology Assessment | Science/Technology | Health/Medicine | North America -
Tools/ModelsInteractive, Teaching Resource 2020Interactive Graphic: Interpreting a COVID-19 Test Result
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction …
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction (RT-PCR), and most often uses samples obtained from the respiratory tract by nasopharyngeal swab. This interactive graphic demonstrates the influence of the prior probability of COVID-19, the test sensitivity (i.e., the probability of a positive test conditional on disease presence), and the test specificity (i.e., the probability of a negative test conditional on disease absence) on the post-test probability of…
Test Performance | Science/Technology | Probability/Bayes | Infectious Diseases | Clinical Care | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy -
ArticlePublication 2020Interpreting COVID-19 Test Results: A Bayesian Approach
This article considers the following question with respect to interpreting the results of polymerase chain reaction …
This article considers the following question with respect to interpreting the results of polymerase chain reaction (PCR) assays from nasal and pharyngeal swabs for COVID-19 to inform clinical decision making: "While a positive result in an acutely ill patient is straightforward, how should physicians interpret negative tests in patients with suspected COVID-19 infection?" Using an assumption of near-perfect specificity of PCR assays for COVID-19, the authors acknowledge the uncertainty of test sensitivity. They consider two clinical scenarios…
Test Performance | Science/Technology | Probability/Bayes | Infectious Diseases | Health/Medicine | Global -
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 | Science/Technology | Evidence Synthesis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | North America -
BookPublication 2017What's In, What's Out: Designing Benefits for Universal Health Coverage
Many low- and middle-income countries now aspire to universal health coverage, where governments ensure that …
Many low- and middle-income countries now aspire to universal health coverage, where governments ensure that all people have access to the quality health services they need without risk of impoverishment. But for universal health coverage to become reality, the health services offered must be consistent with the funds available-and this implies tough everyday choices for policymakers. This publication argues that the creation of an explicit health benefits plan-a defined list of services that are and are…
Technology Assessment | Science/Technology | Priority Setting/Ethics | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Global -
GuidelinesPublication 2016Estimating Health-State Utility for Economic Models: ISPOR Task Force Report
Cost-utility models are increasingly used in many countries to establish whether the cost of a …
Cost-utility models are increasingly used in many countries to establish whether the cost of a new intervention can be justified in terms of health benefits. Health-state utility (HSU) estimates (the preference for a given state of health on a cardinal scale where 0 represents dead and 1 represents full health) are typically among the most important and uncertain data inputs in cost-utility models. Clinical trials represent an important opportunity for the collection of health-utility data.…
Technology Assessment | Science/Technology | Preferences/Values | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | North America | Europe