Resources Repository
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Lesson/ModulePublication, Teaching Resource 2015CDC Science Ambassador Workshop 2015 Lesson Plan: Seasonal Flu Costs How Much?!
This lesson plan from the Centers for Disease Control and Prevention (CDC) was curated to …
This lesson plan from the Centers for Disease Control and Prevention (CDC) was curated to teach high school students, grades 9-10, to explore decision-making about the seasonal influenza (flu) vaccination. The lesson looks at financial decisions around vaccinations, based on a case study exploring the experiences of 282 children from cities around the United States. It looks at a wide range of factors including treatment for children with the flu and the cost of parents…
Clinical Care | Costing Methods | Social Determinants | Decision Analysis | Infectious Diseases | Economics/Finance | Health/Medicine | Science/Technology | North America | High School | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2015Universal Public Finance of Tuberculosis Treatment in India: An Extended CEA
This paper evaluates the consequences of universal public finance (UPF) for tuberculosis treatment in India …
This paper evaluates the consequences of universal public finance (UPF) for tuberculosis treatment in India using extended cost-effectiveness analysis (ECEA). The authors evaluated the impact of UPF on health gains, financial consequences, and catastrophic health expenditures, and concluded that the health gains and insurance value of UPF would accrue mostly to the poor. However, reductions in out-of-pocket expenditures were found to be more uniformly distributed across income quintiles. A variant on the base case suggests…
Clinical Care | Costing Methods | Social Determinants | Priority Setting/Ethics | Health Outcomes | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | Asia & Pacific -
Resource PackPublication, Teaching Resource 2024Resource Pack: Extended Cost-Effectiveness Analysis
Health policies are intended to increase the uptake of effective and efficient interventions and result …
Health policies are intended to increase the uptake of effective and efficient interventions and result in health gains (e.g., premature mortality and morbidity averted). Health policies can also provide non-health benefits in addition to the sole well-being of populations and beyond the health sector. For instance, social and health insurance programs can prevent illness-related impoverishment and provide financial risk protection. Health policies can also improve the distribution of health in the population and promote health…
Costing Methods | Social Determinants | Priority Setting/Ethics | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Culture/Society | Economics/Finance | Health/Medicine | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Clinical Care | Probability/Bayes | Decision Theory | Decision Psychology | Preferences/Values | Chronic Disease/Risk | Business/Industry | Economics/Finance | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2008Cost-Effectiveness of Rapid Point-of-Care Prenatal Syphilis Screening in Sub-Saharan Africa
This paper investigates the cost-effectiveness of using rapid point-of-care tests for prenatal syphilis screening among …
This paper investigates the cost-effectiveness of using rapid point-of-care tests for prenatal syphilis screening among pregnant women in sub-Saharan Africa, a region with syphilis prevalence rates as high as 17%, and where traditional multi-test screening methods have been challenging to implement. Focusing on newly available rapid point-of-care screening tests, strategies differed by the initial test [rapid plasma reagin (RPR), immunochromographic strip (ICS)], need for confirmation with Treponema pallidum hemagglutination assay, and number of visits required.…
Clinical Care | Costing Methods | Test Performance | Mathematical Models | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Health/Medicine | Sub-Saharan Africa -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Maternal Health Models and CEA
This resource pack, curated by the Center for Health Decision Science, provides selected examples of …
This resource pack, curated by the Center for Health Decision Science, provides selected examples of modeling approaches used to conduct analyses relevant to maternal and reproductive health. Some papers focus on a particular problem (e.g., screening for prenatal syphilis, comparison of alternative strategies for safe abortion), while others explore strategies for reducing morbidity and mortality from the entire spectrum of pregnancy and childbirth-related complications. Several of the examples model the primary drivers of maternal mortality (e.g.,…
Clinical Care | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Health/Medicine | Science/Technology | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2020Testing for SARS-CoV-2 Antibodies
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made antibody testing available to anyone wanting it, even if there is no clinical indication. The purpose of this article is to provide guidance for when to consider antibody testing in individuals with and without symptoms suggestive of current or past SARS-CoV-2 infection. Key points made by the authors include: (1) antibody testing is likely to be most useful 2 weeks…
Clinical Care | Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | Health/Medicine -
ToolInteractive 2020COVID-19 Antibody Tests: Calculator for Interpreting Test Results
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article below* on antibody testing for SARS-CoV-2 virus, allows users to vary the prior probability of infection, the sensitivity of SARS-CoV-2 antibody testing, and the specificity of SARS-CoV-2 antibody testing. Key points made in the article accompanying the interactive include: (1) antibody testing is likely to be most useful 2 weeks after infection, (2) sensitivity and specificity will vary over time and…
Clinical Care | Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | Health/Medicine | Science/Technology -
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…
Clinical Care | Probability/Bayes | Test Performance | Infectious Diseases | Health/Medicine