Resources Repository
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Working PaperPublication 2024Economic Evaluation Primer
Economic evaluation is a powerful tool, encouraging the systematic collection and assessment of the evidence …
Economic evaluation is a powerful tool, encouraging the systematic collection and assessment of the evidence needed to support sound policy decisions. In low- and middle-income countries, where resources are especially scarce and needs are very great, such decisions are exceptionally difficult. In these settings, economic evaluation can be particularly useful in determining how to best improve health and welfare. Typically, cost-effectiveness analysis (CEA) is used to prioritize interventions within the health care sector. This approach…
Costing Methods | Priority Setting/Ethics | Health Outcomes | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Policy/Regulation | Global -
Resource PackPublication, Teaching Resource 2023Resource Pack: Diagnostic Tests, Bayes, and COVID-19
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing …
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing for COVID-19. The pack provides materials that will be particularly useful for educators who are teaching diagnostic test performance, value of information, and probability revision using Bayes’ theorem. The majority of papers focus on PCR or rapid antigen testing on samples obtained from the respiratory tract by nasopharyngeal swab. The mechanism of false negative results (e.g., timing of sample collection…
Test Performance | Probability/Bayes | Value of Information | Decision Analysis | Health/Medicine | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
ArticlePublication 2023Cost-Effectiveness of Pharmacist Prescribing for Managing Hypertension
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control …
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control in the US. A cost-effectiveness analysis was conducted using a Markov model based on the pharmacist-prescribing intervention used in The Alberta Clinical Trial in Optimizing Hypertension (or RxACTION). Outcomes included cardiovascular (CV) events, end-stage kidney disease events, life years, quality-adjusted life years (QALYs), lifetime costs, and lifetime incremental cost-effectiveness ratio (ICER). Costs were based on reimbursement rates, published literature, national…
State-Transition | Mathematical Models | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Health/Medicine | North America -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Cost-Effectiveness of Screening and Treatment for Hypertension
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, …
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, and cost-effectiveness analysis. This resource pack provides examples of decision analyses and cost-effectiveness analyses for the management and treatment of hypertension, with a predominant focus on the U.S. Analyses are included that predate the 2017 American College of Cardiology/American Heart Association Clinical Practice Guidelines, along with more recent examples that followed release of the guidelines. Resources are also included that…
Test Performance | Preferences/Values | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Economics/Finance | Health/Medicine | Science/Technology | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2023Conducting Trial-Based Economic Evaluations Using R: A Tutorial
Trial-based economic evaluations are increasingly conducted to support healthcare decision-making but there are inevitable methodological …
Trial-based economic evaluations are increasingly conducted to support healthcare decision-making but there are inevitable methodological challenges. This tutorial provides step-by-step guidance on how to combine appropriate statistical methods using a ready-to-use R script, and addresses missing data, correlated costs and effects, baseline imbalances, and skewness of costs and/or effects. The authors also provide the theoretical background of these methods, and demonstrate their application through a simulated trial-based economic evaluation.
Costing Methods | Evidence Synthesis | Economics/Finance | Health/Medicine | Graduate | Doctoral | Professional | Quantitative Literacy -
ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Calibration/Validation | Health Outcomes | Mathematical Models | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care | Health/Medicine | Global -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Calibration/Validation | Health Outcomes | Evidence Synthesis | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care | Health/Medicine | Global -
ArticlePublication 2023Performance of Rapid Antigen Tests to Detect Symptomatic and Asymptomatic SARS-CoV-2 Infection
The objective of this study was to evaluate the performance of rapid antigen tests (Ag-RDTs) …
The objective of this study was to evaluate the performance of rapid antigen tests (Ag-RDTs) for detection of SARS-CoV-2 among symptomatic and asymptomatic participants. The general findings were that the performance of Ag-RDTs was optimized when asymptomatic participants tested 3 times at 48-hour intervals and when symptomatic participants tested 2 times separated by 48 hours. Participants completed Ag-RDTs and reverse transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2 every 48 hours for 15 days. They…
Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | North America -
ArticlePublication 2020Variation in False-Negative Rate of Reverse Transcriptase Polymerase Chain Reaction-Based SARS-CoV-2 Tests by Time Since Exposure
This study aimed to determine the false-negative rate of RT-PCR tests for SARS-CoV-2 infection based …
This study aimed to determine the false-negative rate of RT-PCR tests for SARS-CoV-2 infection based on the timeline of exposure and symptom onset. Drawing from data in seven studies involving 1,330 upper respiratory tract samples, a Bayesian model was used to estimate these rates. Findings showed that in the initial four days prior to typical symptom onset, the false-negative rate decreased from 100% on day 1 to 67% on day 4. By the day of…
Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | North America