Resources Repository
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ArticlePublication 2021Distributional Health and Financial Consequences of Increased Cigarette Tax in Iran: An ECEA
This study examines the potential impact of a tax-induced cigarette price increase on financial and …
This study examines the potential impact of a tax-induced cigarette price increase on financial and health outcomes across different socioeconomic groups in Iran. Using pooled cross-sectional data from Household Income and Expenditure Surveys (2002–2017) and population data from Iran in 2019, an extended cost-effectiveness analysis (ECEA) methodology is employed to model the effects of a hypothetical increase in cigarette tax. The analysis evaluates health benefits, health expenditures averted, additional tax revenues generated, changes in household…
Mathematical Models | Health Outcomes | Cost-Effectiveness Analysis | Policy/Regulation | Health/Medicine | Middle East & North Africa -
ArticlePublication 2021Alleviating the Burden of Diabetes with Health Equity Funds: Economic Evaluation of the Health & Financial Risk Protection Benefits in Cambodia
This study examines the potential distributional health and financial impacts of implementing strategies to provide …
This study examines the potential distributional health and financial impacts of implementing strategies to provide financial coverage for diabetes services through Health Equity Funds (HEF) in Cambodia. Utilizing a Markov model, the trajectory of diabetes is projected over a 45-year period to estimate societal costs, health outcomes, and individual out-of-pocket expenditures associated with six HEF coverage strategies. Input parameters are derived from published literature and household survey data. Strategies covered different combinations of types of…
Mathematical Models | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Asia & Pacific -
Resource PackPublication, Teaching Resource 2021Resource Pack: Role of Heuristics in Avalanche Education
Making decisions about backcountry skiing requires one to predict, manage, and mitigate avalanche risk. Individuals …
Making decisions about backcountry skiing requires one to predict, manage, and mitigate avalanche risk. Individuals need to understand and be comfortable with the language of probability, as well as appreciate the cognitive biases that can come into play in the context of decision making. This collection includes articles that range from early attempts to identify “heuristic traps,” based on a retrospective analysis of avalanche accidents in the United States more than 20 years ago, to…
Probability/Bayes | Decision Psychology | Injuries/Accidents | Climate/Environment | Culture/Society | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership -
Resource PackPublication, Teaching Resource 2024Resource Pack: Ethiopian Health Decision Sciences
This resource pack provides a curated set of peer-reviewed articles that represent the growing evidence …
This resource pack provides a curated set of peer-reviewed articles that represent the growing evidence base for decision making and priority setting in Ethiopia - with an emphasis on improving health, reducing inequity, and preventing health-related impoverishment. Curated by Dr. Stéphane Verguet at the Center for Health Decision Science, most of the papers reflect work done as part of the Disease Control Priorities-Ethiopia (DCP-E) project. The pack provides scholarship that spans maternal-child health, vaccine-preventable disease, infectious…
Mathematical Models | Priority Setting/Ethics | Costing Methods | Health Outcomes | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Sub-Saharan Africa | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ArticlePublication 2020Bayes' Theorem, COVID-19, and Screening Tests
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain …
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain reaction (rRT-PCR) through the application of Bayes’ Theorem for three hypothetical, stylized case scenarios. The scenarios involve three patients with a low, moderate, and high pre-test probability of COVID-19 infection. The category of low probability would include "asymptomatic individuals in a presumed low prevalence environment" and might vary from 10 to 20%. The category of moderate probability would include "individuals…
Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine -
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…
Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | 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…
Probability/Bayes | Test Performance | Infectious Diseases | Health/Medicine | Science/Technology | Global -
Resource PackPublication, Teaching Resource 2020Resource Pack: Cost-Effectiveness of SSB Excise Taxes
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior …
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior has been of increasing interest in the last decade as the evidence-base builds for the health and economic consequences of obesity, overweight, and unhealthy eating. The motivation for using fiscal instruments in nutrition policy is to make the unhealthy option less affordable and less economically attractive by increasing the price via a tax, and therefore reduce the incentive to consume…
Mathematical Models | Health Outcomes | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Policy/Regulation | Business/Industry | Economics/Finance | Food/Agriculture | Government/Law | Health/Medicine | North America | Latin America & Caribbean | Europe | Oceania -
ArticlePublication 2013Nutritional Policy Changes in SNAP: A Microsimulation and Cost-Effectiveness Analysis
This analysis estimated the health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) …
This analysis estimated the health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) or subsidizing fruits and vegetables purchased with SNAP. The target population was adults in the U.S. and the time horizon was 10 years. Results showed that banning SSB purchases using SNAP benefits would be expected to avert 510,000 diabetes person-years and 52,000 deaths from MIs and strokes over the next decade, with a savings of $2900 per QALY saved. A…
Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Food/Agriculture | Government/Law | Health/Medicine | North America