Resources Repository
-
Working PaperPublication 2015Benefit-Cost Analysis and the Cities
This paper provides a short introduction to the use of benefit-cost analysis to assess interventions …
This paper provides a short introduction to the use of benefit-cost analysis to assess interventions undertaken at the city or municipal level. It introduces the concepts that underlie the conduct of benefit-cost analysis, describes the major analytic components, and discusses how to tailor the analysis to the characteristics of the policy and the resources available. It concludes with a list of references for those interested in learning more.
Priority Setting/Ethics | Preferences/Values | North America | Decision Analysis | Benefit-Cost Analysis | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment | Culture/Society | Economics/Finance | Government/Law | Critical Thinking/Analysis -
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 | Costing Methods | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine -
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…
Preferences/Values | Probability/Bayes | North America | Costing Methods | Health Outcomes | Test Performance | Value of Information | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Government/Law | Health/Medicine | Global | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
GuidelinesPublication 2014EPA Guidelines for Preparing Economic Analyses
The US Environmental Protection Agency (EPA) Guidelines for Preparing Economic Analyses provide a framework for …
The US Environmental Protection Agency (EPA) Guidelines for Preparing Economic Analyses provide a framework for assessing the impacts of environmental regulations and policies that has been extensively peer-reviewed and is widely-applied both within and outside of the agency. The Guidelines discuss: (1) statutory and executive order requirements for conducting economic analyses; (2) identifying the need for policy action; (3) regulatory and non-regulatory approaches to pollution control; (4) baseline definition; (5) discounting future benefits and costs;…
Priority Setting/Ethics | Preferences/Values | North America | Decision Analysis | Benefit-Cost Analysis | Environmental Health | Policy/Regulation | Climate/Environment | Government/Law | Critical Thinking/Analysis -
ArticlePublication 2013Contribution of H. Pylori and Smoking to US Incidence of Gastric Adenocarcinoma: A Microsimulation Model
Although gastric cancer has declined dramatically in the US, the disease remains the second leading …
Although gastric cancer has declined dramatically in the US, the disease remains the second leading cause of cancer mortality worldwide. This analysis estimates the contribution of risk factor trends on past and future intestinal-type non-cardia gastric adenocarcinoma (NCGA) incidence. The authors developed a population-based microsimulation model of intestinal-type NCGA and calibrated it to U.S. epidemiologic data on precancerous lesions and cancer. The model explicitly incorporated the impact of Helicobacter pylori and smoking on disease natural history, for which…
Microsimulation | Calibration/Validation | North America | Chronic Disease/Risk | Social Determinants | Culture/Society | Health/Medicine -
ArticlePublication 2011Model-Based Analyses to Compare Health and Economic Outcomes of Cancer Control: Inclusion of Disparities
In order to identify strategies that improve both population health and ensure its equitable distribution, …
In order to identify strategies that improve both population health and ensure its equitable distribution, the authors developed a typology of cancer disparities that considers types of inequalities among black, white, and Hispanic populations across different cancers. This paper reports on the typology using an existing disease simulation model of cervical cancer that was calibrated to clinical, epidemiological, and cost data in the United States and presents characteristics important for policy discussions. The typology proposed…
Priority Setting/Ethics | State-Transition | North America | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Health Systems | Clinical Care | Culture/Society | Health/Medicine | Science/Technology -
ArticlePublication 2010Empirically Evaluating Decision-Analytic Models
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors …
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors developed a structured reporting format for model evaluation and conducted a structured literature review to characterize current model evaluation recommendations and practices. As an illustration, they applied the reporting format to evaluate a microsimulation of human papillomavirus and cervical cancer. The model's outputs and uncertainty ranges were compared with multiple outcomes from a study of long-term progression from high-grade precancer…
Microsimulation | Calibration/Validation | North America | Infectious Diseases | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2007Modeling HPV and Cervical Cancer in the U.S. for Analyses of Screening and Vaccination
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty …
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty about the natural history of disease that was used to provide quantitative insight into U.S. policy choices for cervical cancer prevention. The authors developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted…
Microsimulation | Calibration/Validation | North America | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology -
ArticlePublication 2002Empirically Calibrated Model of Hepatitis C Virus Infection in the United States
This article presents an epidemiologic model of hepatitis C in the United States. The authors …
This article presents an epidemiologic model of hepatitis C in the United States. The authors used empirical calibration of model parameters to gain insights into uncertainty in the natural history of hepatitis C and to improve future projections. The authors identified model inputs by way of a systematic review. Model simulations were conducted and model predictions were compared with epidemiologic data on infection prevalence and mortality from liver cancer. Goodness-of-fit criteria were used to identify…
Calibration/Validation | State-Transition | North America | Mathematical Models | Infectious Diseases | Chronic Disease/Risk | Health/Medicine