Resources Repository
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ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Mathematical Models | Decision Analysis | Health Systems | Government/Law | Health/Medicine | Global -
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 | Mathematical Models | Health Systems | Calibration/Validation | Chronic Disease/Risk | 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 | Mathematical Models | Health Systems | Costing Methods | Microsimulation | Calibration/Validation | Chronic Disease/Risk | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine | North America -
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…
Mathematical Models | Decision Analysis | Health Systems | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
BookPublication 2003WHO Guide to Cost-Effectiveness Analysis
This 2003 guide provides a method of assessing the cost-effectiveness of health interventions for an …
This 2003 guide provides a method of assessing the cost-effectiveness of health interventions for an international audience. The authors aim to inform the policy maker and to maximize the generalizability of results across settings. Part I begins with a description of cost-effectiveness analysis. It then considers issues relating to study design, estimating costs, assessing health effects, discounting, uncertainty and sensitivity analysis, and reporting results. Part II provides examples to illustrate the principles in Part I. Detailed discussions…
Evidence Synthesis | Mathematical Models | Health Systems | Priority Setting/Ethics | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Health/Medicine | Global -
ReviewPublication 2001Modeling for Health Care and Other Policy Decisions: Uses, Roles and Validity
This is a review article of the role of modeling approaches to guide decision making …
This is a review article of the role of modeling approaches to guide decision making in health care and other domains. The role of models to support recommendations on the cost-effective use of medical technologies and pharmaceuticals is controversial. At the heart of the controversy is the degree to which experimental or other empirical evidence should be required prior to model use. The authors argue that the controversy stems in part from a misconception that…
Evidence Synthesis | Mathematical Models | Health Systems | Priority Setting/Ethics | Technology Assessment | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America -
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…
Mathematical Models | Health Systems | Health Outcomes | Microsimulation | Calibration/Validation | Maternal/Reproductive Health | 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…
Evidence Synthesis | Health Systems | Health Outcomes | Microsimulation | Calibration/Validation | Maternal/Reproductive Health | Clinical Care | Health/Medicine | Global -
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.
Mathematical Models | Health Systems | Priority Setting/Ethics | Clinical Care | Health/Medicine | North America