Resources Repository
-
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…
Microsimulation | Calibration/Validation | Global | Maternal/Reproductive Health | Clinical Care | Health Outcomes | Mathematical Models | Health Systems | Health/Medicine -
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…
Microsimulation | Calibration/Validation | Global | Maternal/Reproductive Health | Clinical Care | Health Outcomes | Evidence Synthesis | Health Systems | Health/Medicine -
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.,…
Microsimulation | Calibration/Validation | Global | Maternal/Reproductive Health | Clinical Care | Costing Methods | Evidence Synthesis | Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Science/Technology | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
Lesson/ModuleWeb Portal, Teaching Resource 2017Translating Science Into Policy: The Role of Decision Science
This module introduces the basic techniques of “decision science” that are used in policy making. …
This module introduces the basic techniques of “decision science” that are used in policy making. The materials are mainly prescriptive, focusing on how to make good decisions, but also include examples of the systematic ways that people make poor decisions. The module: (1) surveys the meanings of utility; (2) examines decision making in conditions where risk is not an issue; (3) examines decision making in conditions where risk is an issue because the likelihood of…
Decision Psychology | Decision Analysis | North America | Global | Policy/Regulation | Preferences/Values | Infectious Diseases | Government/Law | Health/Medicine | Science/Technology | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
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…
Microsimulation | Calibration/Validation | North America | Policy/Regulation | Clinical Care | Costing Methods | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine -
BookPublication 2013Making Hard Decisions with Decision Tools, 3rd Edition
Making Hard Decisions with Decision Tools® is a new edition and teaches the fundamental ideas …
Making Hard Decisions with Decision Tools® is a new edition and teaches the fundamental ideas of decision analysis, without an overly technical explanation of the mathematics used in decision analysis. This new version has been purposefully written to be more relevant to students in business and engineering compared to previous versions. This new version also incorporates and implements the powerful DecisionTools® software by Palisade Corporation. At the end of each chapter, topics are illustrated with step-by-step instructions…
Microsimulation | Decision Analysis | North America | Global | Policy/Regulation | Probability/Bayes | Preferences/Values | Test Performance | Value of Information | Business/Industry | Energy/Engineering | Health/Medicine | Military/Defense | Science/Technology | Europe -
BookPublication 2010Problem Solving, Decision Making, and Professional Judgment
This book includes material drawn from statistics, decision science, social and cognitive psychology, the judgment …
This book includes material drawn from statistics, decision science, social and cognitive psychology, the judgment and decision making literature, and behavioral economics. It combines quantitative approaches to empirical analysis and decision making (i.e., statistics and decision science) with the psychological literature illustrating the systematic errors of the intuitive decision maker.
Priority Setting/Ethics | Decision Analysis | North America | Global | Policy/Regulation | Probability/Bayes | Preferences/Values | Test Performance | Value of Information | Cost-Effectiveness Analysis | Government/Law | Health/Medicine -
ArticlePublication 2022COVID-19 Response: The Need for Economic Evaluation
COVID-19-related policies are fraught with trade-offs. Many of these trade-offs involve dimensions that can be …
COVID-19-related policies are fraught with trade-offs. Many of these trade-offs involve dimensions that can be quantitatively weighed using economic evaluation, such as those between health and cost outcomes. Other types of dimensions, such as those involving equity or autonomy, can be harder to quantify but should be considered in a comprehensive health policy decision-making context nonetheless. The authors of this New England Journal of Medicine Perspectives article outline how methods of economic evaluation and decision…
Priority Setting/Ethics | North America | Global | Policy/Regulation | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Economics/Finance | Health/Medicine -
ArticlePublication 2019Global Childhood Cancer Survival Estimates and Priority-Setting: A Simulation-Based Analysis
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of …
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of multiple factors that affect cancer outcomes in children. The authors developed a microsimulation model to simulate childhood cancer survival for 200 countries/territories, accounting for clinical and epidemiologic factors, including country-specific treatment variables, such as availability of chemotherapy, radiation, and surgery, and calibrated the model to empirical data from the CONCORD-2 and CONCORD-3 studies using an Approximate Bayesian Computation approach. The…
Priority Setting/Ethics | Microsimulation | Global | Clinical Care | Health Outcomes | Child/Nutrition | Chronic Disease/Risk