Resources Repository
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ArticlePublication 2022Emerging Therapies for COVID-19: The Value of Information From More Clinical Trials
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face …
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face of uncertainty. This study aimed to quantify consequences of approving therapies or pursuing further research. The authors used a cohort state-transition model for hospitalized patients with COVID-19 to estimate quality-adjusted life-years (QALYs) and costs associated with multiple drug regimens and usual care. For each they assessed immediate approval, use only in research, emergency use authorization or reject. They conducted cost-effectiveness…
Benefit-Cost Analysis | Value of Information | North America | State-Transition | Infectious Diseases | Policy/Regulation | Economics/Finance | Europe -
ArticlePublication 2021COVID and the Age–VSL Relationship
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions …
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions in analyses of lockdowns and other policies. Many rely on a population-average estimate of the value per statistical life (VSL); others adjust VSL for life expectancy at the age of death. The article explores the implications of theory and empirical studies, which suggest that the relationship between age and VSL is uncertain; these uncertainties in turn may affect whether the…
Preferences/Values | Benefit-Cost Analysis | North America | Infectious Diseases | Government/Law | Health/Medicine -
ArticlePublication 2014Evaluation of FDA Benefit-Cost Analysis of Graphic Warning Labels
The Food and Drug Administration (FDA) is required to do a regulatory impact analysis assessing …
The Food and Drug Administration (FDA) is required to do a regulatory impact analysis assessing the costs and benefits of its tobacco products and other regulations. This paper provides a critical review of the approach the FDA used in its proposed and final graphic warning label rule, and includes recommendations on how to improve the analysis in ways that account for the differences between tobacco use and consumption of most consumer products. To date, FDA…
Benefit-Cost Analysis | Costing Methods | North America | Chronic Disease/Risk | Policy/Regulation | Government/Law | Health/Medicine -
ArticlePublication 2015Valuing Regulations Affecting Addictive or Habitual Goods
The analysis of regulations affecting addictive or habitual goods has drawn considerable controversy. Some studies …
The analysis of regulations affecting addictive or habitual goods has drawn considerable controversy. Some studies have suggested that such regulations have only small welfare benefits, as consumers value these goods despite health benefits from quitting, while other studies suggest that information or behavioral problems make existing consumption decisions a poor guide to welfare evaluation. This analysis examines potential utility offsets to health benefits of regulations affecting addictive or habitual goods theoretically and empirically. The paper…
Preferences/Values | Benefit-Cost Analysis | North America | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Culture/Society | Economics/Finance | Health/Medicine -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Calibration/Validation | Costing Methods | North America | Evidence Synthesis | Mathematical Models | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine -
ArticlePublication 2023Catalogues of EQ-5D-3L Health-Related Quality of Life Scores for 199 Chronic Conditions and Health Risks for Use in the UK & the U.S.
This study aimed to create UK and US EQ-5D-3L-based health-related quality of life (HRQoL) utility …
This study aimed to create UK and US EQ-5D-3L-based health-related quality of life (HRQoL) utility population catalogues for 199 chronic conditions using ICD-10 codes and health risks. It also sought to develop regression models to predict these utilities in other populations. Methods involved applying UK and US EQ-5D-3L value sets to responses from a Danish dataset, which combined national health survey data with national registers containing patient information on diagnoses, healthcare activities, and socio-demographics. Adjusted…
Preferences/Values | North America | Health Outcomes | Health/Medicine | Europe -
ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
Calibration/Validation | North America | Microsimulation | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2023Benefits and Costs of COVID-19 Vaccine Mandates
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations …
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations for U.S. federal employees and healthcare and private sector workers. These mandates were controversial and some were halted by litigation. If they had been implemented as intended, the net benefits would depend on the course of the pandemic. If a more transmissible variant (such as Omicron) emerges, the net benefits may be large. If the pandemic instead fades, the benefits…
Benefit-Cost Analysis | North America | Mathematical Models | State-Transition | Infectious Diseases | Policy/Regulation | Business/Industry | Economics/Finance | Government/Law | Health/Medicine -
ArticlePublication 2022COVID-19 Response: The Need for Economic Evaluation
COVID-19-related policies are fraught with trade-offs. Many of these trade-offs involve dimensions that can be …
COVID-19-related policies are fraught with trade-offs. Many of these trade-offs involve dimensions that can be quantitatively weighed using economic evaluation, such as those between health and cost outcomes. Other types of dimensions, such as those involving equity or autonomy, can be harder to quantify but should be considered in a comprehensive health policy decision-making context nonetheless. The authors of this New England Journal of Medicine Perspectives article outline how methods of economic evaluation and decision…
Benefit-Cost Analysis | North America | Priority Setting/Ethics | Cost-Effectiveness Analysis | Infectious Diseases | Policy/Regulation | Economics/Finance | Health/Medicine | Global