Resources Repository
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ArticlePublication 2016Challenges of Prioritization
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and …
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and diagnostics; in addition, the evidence base drawn on for evaluating such interventions is relatively good, given the medical research industry surrounding their testing. However, with increasing success in controlling infectious diseases, many of the health challenges facing countries concern broad threats to health with multiple causes, such as obesity, where the relationship between policy action and health benefit is not…
Benefit-Cost Analysis | Economics/Finance | Chronic Disease/Risk | Priority Setting/Ethics | Cost-Effectiveness Analysis | Infectious Diseases | Mental Health | Health Systems | 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…
Calibration/Validation | Science/Technology | Chronic Disease/Risk | Evidence Synthesis | Mathematical Models | Health Systems | Clinical Care | Health/Medicine | North America -
ArticlePublication 2015Valuing Regulations Affecting Addictive or Habitual Goods
The analysis of regulations affecting addictive or habitual goods has drawn considerable controversy. Some studies …
The analysis of regulations affecting addictive or habitual goods has drawn considerable controversy. Some studies have suggested that such regulations have only small welfare benefits, as consumers value these goods despite health benefits from quitting, while other studies suggest that information or behavioral problems make existing consumption decisions a poor guide to welfare evaluation. This analysis examines potential utility offsets to health benefits of regulations affecting addictive or habitual goods theoretically and empirically. The paper…
Benefit-Cost Analysis | Economics/Finance | Chronic Disease/Risk | Preferences/Values | Social Determinants | Policy/Regulation | Culture/Society | Health/Medicine | 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…
Calibration/Validation | Economics/Finance | Chronic Disease/Risk | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Health Systems | Policy/Regulation | Clinical Care | Health/Medicine | North America -
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…
Calibration/Validation | Science/Technology | Chronic Disease/Risk | Microsimulation | Infectious Diseases | Clinical Care | Health/Medicine | North America