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…
Mathematical Models | Health/Medicine | Economics/Finance | Health Systems | Costing Methods | Evidence Synthesis | Microsimulation | Calibration/Validation | Chronic Disease/Risk | Policy/Regulation | Clinical Care | North America -
ReviewPublication 2015Medicare's Use of CEA for Prevention (But Not Treatment)
Medicare currently pays for 23 preventive services in its benefits package, the majority of which …
Medicare currently pays for 23 preventive services in its benefits package, the majority of which were added since 2005. In the past decade, the program has transformed from one essentially administering treatment claims, to one increasingly focused on health promotion and maintenance. What is largely unappreciated is the role cost-effectiveness analysis has played in the coverage of preventive services. This study reviews the role of cost-effectiveness analysis in Medicare coverage of preventive services and contrast it…
Technology Assessment | Health/Medicine | Economics/Finance | Health Systems | Priority Setting/Ethics | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Chronic Disease/Risk | Policy/Regulation | Government/Law | 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 | Health/Medicine | Economics/Finance | Health Systems | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Government/Law | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2008Mathematical Models of Cervical Cancer Prevention in the Asia Pacific Region
This article reports on a model-based approach to estimate averted cervical cancer cases and deaths, …
This article reports on a model-based approach to estimate averted cervical cancer cases and deaths, disability-adjusted life years (DALYs) and incremental cost-effectiveness ratios (I$/DALY averted) for vaccination of young adolescent girls against human papillomavirus (HPV) types 16 and 18. The authors used population-based and epidemiologic data for 25 countries in Asia (22 GAVI-Alliance eligible countries, Thailand, China and Japan). They found that an absolute reduction in lifetime cancer risk varied across countries, depending on incidence,…
Mathematical Models | Health/Medicine | Economics/Finance | Health Systems | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Science/Technology | Asia & Pacific -
ArticlePublication 2007Economic Evaluation of Hepatitis B Vaccination in Low-Income Countries: Cost-Effectiveness Affordability Curves
In the face of uncertainties about both the health and economic consequences of a vaccine …
In the face of uncertainties about both the health and economic consequences of a vaccine program, as well as the availability and magnitude of resources needed to fund the program, cost-effectiveness affordability curves can provide information to decision-makers about the probability that a program will be both cost-effective and affordable: these are distinct but equally relevant considerations in resource-poor settings. This paper describes the application of this method to assess a hepatitis B vaccination program in the…
Mathematical Models | Health/Medicine | Economics/Finance | Health Systems | Costing Methods | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Sub-Saharan Africa -
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/Medicine | Health Systems | Health Outcomes | Microsimulation | Calibration/Validation | Maternal/Reproductive Health | Clinical Care | Global -
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.,…
Mathematical Models | Health/Medicine | Health Systems | Costing Methods | Evidence Synthesis | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Clinical Care | Science/Technology | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
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/Medicine | Health Systems | Priority Setting/Ethics | Clinical Care | North America -
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 | Health/Medicine | Health Systems | Decision Analysis | Government/Law | Global