Resources Repository
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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…
Test Performance | Technology Assessment | Probability/Bayes | Infectious Diseases | Health Systems | Policy/Regulation | Government/Law | Health/Medicine | Global | North America -
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.…
Mathematical Models | Technology Assessment | Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Science/Technology | North America | Europe -
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…
Mathematical Models | Technology Assessment | Priority Setting/Ethics | Evidence Synthesis | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America -
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 | Infectious Diseases | Clinical Care | 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 | Infectious Diseases | Clinical Care | 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 | Infectious Diseases | Health Systems | Clinical Care | 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 | Infectious Diseases | Health Systems | Clinical Care | Health/Medicine | Science/Technology -
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 | Health/Medicine | Science/Technology | North America -
ReviewPublication 2017Model-Based Economic Evaluation of Treatments for Depression: A Systematic Review
This article, published in Pharmacoeconomics, systematically reviews the literature in order to identify model-based studies …
This article, published in Pharmacoeconomics, systematically reviews the literature in order to identify model-based studies evaluating the cost-effectiveness of treatments for depression and examine the appropriateness of different modelling technique for simulating the natural course of depression. The review yielded 41 model-based studies, of which 21 used decision trees (DTs), 15 used cohort-based state-transition Markov models (CMMs), two used individual-based state-transition models (ISMs), and three used discrete-event simulation (DES) models. Just over half of the…
Mathematical Models | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Mental Health | Health/Medicine