Resources Repository
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ArticlePublication 2017Benefit and Harm of Intensive Blood Pressure Treatment: Derivation and Validation of Risk Models Using Data from the Sprint and Accord Trials
Intensive blood pressure (BP) treatment can avert cardiovascular disease (CVD) events but can cause some …
Intensive blood pressure (BP) treatment can avert cardiovascular disease (CVD) events but can cause some serious adverse events. The authors sought to create risk calculators to estimate individual patients’ chances of benefit and harm from intensive treatment. They developed statistical models of cardiovascular events and serious adverse events from individual participant data from the Systolic Blood Pressure Intervention Trial (SPRINT) of intensive blood pressure treatment (N = 9,069 with complete covariate data) and validated them…
Evidence Synthesis | Probability/Bayes | Chronic Disease/Risk | Health Outcomes -
Resource PortalWeb Portal, Teaching Resource 2024National Academies of Sciences, Engineering, and Medicine
The National Academies of Sciences, Engineering, and Medicine, founded in 1863, has a mission to provide …
The National Academies of Sciences, Engineering, and Medicine, founded in 1863, has a mission to provide nonpartisan, objective guidance for decision makers on policy challenges in the context of science, engineering, and medicine. NAS reports and convening activities have a wide range of impacts on policy and practice. They guide the development of federal laws and regulations, improve the effectiveness of government programs, shape the direction of research fields, and inform public knowledge and dialogue about…
Evidence Synthesis | Risk Analysis | Chronic Disease/Risk | Priority Setting/Ethics | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Injuries/Accidents | Social Determinants | Health Systems | Global Governance | Climate/Environment | Energy/Engineering | Education/Labor | Food/Agriculture | Health/Medicine | Military/Defense | Science/Technology | Global | North America | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
Lesson/ModuleWeb Portal, Teaching Resource 2016Scientific Evidence of Factual Causation
This module examines three scientific areas that provide evidence bearing on causation in the “toxic …
This module examines three scientific areas that provide evidence bearing on causation in the “toxic tort” or environmental disease context: epidemiology, toxicology, and genetics. These scientific disciplines are used in civil lawsuits and in regulatory proceedings in which causation or risk is an issue. The module is appropriate for non-scientist law students as well as others interested in learning the science of toxic tort causation, including practicing attorneys, judges, and public policy and public health…
Evidence Synthesis | Risk Analysis | Chronic Disease/Risk | Child/Nutrition | Environmental Health | Policy/Regulation | Climate/Environment | Food/Agriculture | Government/Law | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Drug-Induced Birth Defects
Using the currently topical issue of whether SSRI (Selective Serotonin Reuptake Inhibitor) anti-depressants cause birth …
Using the currently topical issue of whether SSRI (Selective Serotonin Reuptake Inhibitor) anti-depressants cause birth defects, the module aims to provide students with a general understanding of the following: (1) human risk factor causation as determined by epidemiologic methods; (2) the limits of non-human toxicological evidence to the assessment of causality in humans; (3) the importance of pharmacovigilance for all medications; (4) special difficulties in identifying causes of human birth defects; (5) the importance of…
Evidence Synthesis | Risk Analysis | Chronic Disease/Risk | Health Outcomes | Child/Nutrition | Government/Law | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
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 | Chronic Disease/Risk | Mathematical Models | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America -
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…
Evidence Synthesis | Calibration/Validation | Chronic Disease/Risk | Costing Methods | Mathematical Models | Microsimulation | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine | North America -
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…
Probability/Bayes | Chronic Disease/Risk | Decision Theory | Decision Psychology | Preferences/Values | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2022Comparative Health Systems Analysis of Differences in Catastrophic Health Expenditure
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications …
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications for health system performance in the area of financial risk protection, as measured by catastrophic health expenditure (CHE). This article compares non-communicable diseases catastrophic health expenditure to the CHE cases caused by communicable diseases across health systems to examine whether: (1) disease burden and catastrophic health expenditure are linked, (2) Catastrophic health expenditures secondary to NCDs disproportionately affect wealthier households and (3) whether the drivers…
Evidence Synthesis | Chronic Disease/Risk | Costing Methods | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Economics/Finance | Health/Medicine | Global -
ArticlePublication 2020Data-Driven Management of Post-Transplant Medications
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their …
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their risk of organ rejection. However, because of the diabetogenic effect of these drugs, this practice exposes them to a greater risk of new-onset diabetes after transplantation (NODAT), and hence, becoming insulin dependent. This study develops effective medication management strategies to address the common conundrum of balancing the risk of organ rejection versus that of NODAT. The article presents a robust…
Operations Research | Chronic Disease/Risk | Mathematical Models | Health/Medicine | North America