Resources Repository
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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…
Calibration/Validation | Costing Methods | North America | Health Systems | Clinical Care | Evidence Synthesis | Mathematical Models | Microsimulation | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Health/Medicine -
ArticlePublication 2008Health and Economic Implications of HPV Vaccination in the U.S.
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical …
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical carcinogenesis to compare the health and economic outcomes of vaccinating preadolescent girls in the US (at 12 years of age), and vaccinating older girls and women in catch-up programs (to 18, 21, or 26 years of age). The study also examined the health benefits of averting other HPV-16-related and HPV-18-related cancers, the prevention of HPV-6-related and HPV-11-related genital warts and…
Calibration/Validation | Dynamic Transmission | North America | Health Systems | Clinical Care | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology -
ArticlePublication 2023Achieving the Cancer Moonshot Goal
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over …
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years. This article estimates trends in U.S. cancer mortality for all cancers and the six leading types and reviews opportunities to prevent, detect, and treat these common cancers.
Priority Setting/Ethics | North America | Health Systems | Clinical Care | Mathematical Models | Health/Medicine -
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…
Priority Setting/Ethics | Health Outcomes | North America | Global Governance | Health Systems | Evidence Synthesis | Risk Analysis | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Injuries/Accidents | Social Determinants | Climate/Environment | Energy/Engineering | Education/Labor | Food/Agriculture | Health/Medicine | Military/Defense | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
BookPublication 2016Cost-Effectiveness in Health and Medicine, 2nd Edition
This is a revised and expanded edition of the original text on Cost-Effectiveness in Health and Medicine. The …
This is a revised and expanded edition of the original text on Cost-Effectiveness in Health and Medicine. The Second Panel on Cost-Effectiveness in Health and Medicine included experts drawn from academia, healthcare administration, and government. The book offers advice for conducting analyses to improve the allocation of health resources, and is intended for economists, policy analysts, hospital executives, and students across health, business, and humanities disciplines. New components of this edition, include an in-depth review of the past 20…
Priority Setting/Ethics | Costing Methods | Health Outcomes | North America | Health Systems | Preferences/Values | Mathematical Models | Cost-Effectiveness Analysis | Technology Assessment | Policy/Regulation | Economics/Finance | Health/Medicine | Global | Europe -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
North America | Health Systems | Mathematical Models | State-Transition | Microsimulation | Dynamic Simulation | Decision Analysis | Chronic Disease/Risk | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine -
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…
Calibration/Validation | North America | Health Systems | Clinical Care | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health/Medicine | Science/Technology -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Health Outcomes | North America | Health Systems | Clinical Care | Preferences/Values | Evidence Synthesis | Test Performance | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Science/Technology -
BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Probability/Bayes | Costing Methods | Health Outcomes | North America | Health Systems | Preferences/Values | Test Performance | Value of Information | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine | Global | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy