Resources Repository
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ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Evidence Synthesis | Calibration/Validation | Science/Technology | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | North America -
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 | Government/Law | Mathematical Models | State-Transition | Infectious Diseases | Policy/Regulation | Business/Industry | Economics/Finance | Health/Medicine | North America -
ArticlePublication 2020Valuing COVID-19 Mortality Risk
In this article, the author evaluates whether conventional estimates of the value per statistical life …
In this article, the author evaluates whether conventional estimates of the value per statistical life (VSL) in the United States (about $10 million) are appropriate for evaluating policies that affect risk of COVID-19. This estimate may be too large, because: (1) VSL estimates marginal values but COVID-19 risks can be non-marginal; (2) VSL is estimated for the average resident, but COVID-19 mortality is concentrated among the elderly; and (3) the pandemic has caused substantial losses…
Benefit-Cost Analysis | Government/Law | Preferences/Values | Infectious Diseases | Global -
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…
Benefit-Cost Analysis | Government/Law | Preferences/Values | Infectious Diseases | Health/Medicine | North America -
ArticlePublication 2021Individual and Social Determinants of COVID-19 Vaccine Uptake
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using …
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using national survey data collected before vaccines were available in the U.S. Of note, individuals under the federal poverty level and racial and ethnic minorities were oversampled. Outcomes included the likelihood of vaccinating self and dependents (e.g., children). Independent variables included perceptions of risk, exposure to different media for COVID-19 news, political party identification, confidence in scientists and social determinants of…
Evidence Synthesis | Science/Technology | Health Outcomes | Infectious Diseases | Social Determinants | Policy/Regulation | Clinical Care | Culture/Society | Health/Medicine | North America -
ArticlePublication 2021COVID-19 Vaccine Hesitancy: The Five C's to Tackle Behavioral and Sociodemographic Factors
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of …
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of the world’s population needs to be vaccinated. This article acknowledges that hesitancy is one of the most substantial hurdles to vaccination uptake at levels that would achieve herd immunity. Authors define hesitancy as “a delay in acceptance or refusal despite availability.” Five factors are proposed to tackle vaccine hesitancy, referred to as the five “C’s”: Confidence (importance, safety and efficacy…
Evidence Synthesis | Science/Technology | Decision Psychology | Preferences/Values | Health Outcomes | Infectious Diseases | Social Determinants | Culture/Society | Health/Medicine | North America -
ArticlePublication 2018Examining Evaluation Methods for Health Equity Policies
This article reviews diverse methods for evaluating public policies that address social determinants of health …
This article reviews diverse methods for evaluating public policies that address social determinants of health equity. Understanding approaches to evaluating public policies is essential in strengthening the evidence base that informs policy change. Examining 50 studies in the article, the authors find that most studies evaluating policies for health equity outcomes use observational research designs and regression techniques to analyze impact. Furthermore, the studies reviewed primarily relied on secondary data, and nearly three out of…
Evidence Synthesis | Government/Law | Health Outcomes | Social Determinants | Global Governance | Global -
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 | Government/Law | Costing Methods | Chronic Disease/Risk | Policy/Regulation | Health/Medicine | North America -
ArticlePublication 2016Economic Evaluation: Bibliometric Analysis of Recent Literature
This bibliometric analysis focuses on recently published full economic evaluations of health interventions and reflects …
This bibliometric analysis focuses on recently published full economic evaluations of health interventions and reflects critically on the implications of the findings. The authors created a database drawing on 14 health, economic, and/or general literature databases for articles published between 1 January 2012 and 3 May 2014 and identified 2844 economic evaluations. They examined the distribution of publications between countries, regions, and health areas studied and compared the relative volume of research with disease burden.…
Benefit-Cost Analysis | Science/Technology | Priority Setting/Ethics | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Health/Medicine | Global