Resources Repository
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ReviewPublication 2016Economic Dimensions of Noncommunicable Diseases in Latin America and the Caribbean
This companion volume to Disease Control Priorities, Third Edition (DCP3), explores the impact of noncommunicable diseases …
This companion volume to Disease Control Priorities, Third Edition (DCP3), explores the impact of noncommunicable diseases (NCDs) on development and economic growth in the countries of Latin America and the Caribbean (LAC). This collection of manuscripts examines the complex interplay among NCDs, health expenditures and financial investments in health, poverty, and inequities, using up-to-date information and evidence from the LAC region. There is compelling proof that NCDs are a major and growing problem for low- and…
Technology Assessment | Costing Methods | Policy/Regulation | Chronic Disease/Risk | Priority Setting/Ethics | Cost-Effectiveness Analysis | Child/Nutrition | Mental Health | Social Determinants | Health Systems | Economics/Finance | Food/Agriculture | Health/Medicine | Latin America & Caribbean -
ReviewPublication 2008Modeling Cervical Cancer Prevention in Developed Countries
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in …
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in order to evaluate the benefits and cost-effectiveness of primary and secondary interventions. This article is a review of mathematical models that have been used to evaluate HPV vaccination in the context of developed countries with existing screening programs. Despite variations in model assumptions and uncertainty in existing data, pre-adolescent vaccination of females in the setting of current screening practices has…
Mathematical Models | Calibration/Validation | Chronic Disease/Risk | Infectious Diseases | State-Transition | Dynamic Transmission | Microsimulation | Health/Medicine | Science/Technology -
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 | Policy/Regulation | Chronic Disease/Risk | Infectious Diseases | Priority Setting/Ethics | Cost-Effectiveness Analysis | Child/Nutrition | Health Systems | Economics/Finance | Government/Law | Health/Medicine | North America -
ReviewPublication 2003Public Health Policy and Cost-Effectiveness Analysis
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to …
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to rigorously evaluate alternatives to reduce mortality from cervical cancer. Scientific advances have provided opportunities over time to revisit strategies for cervical cancer prevention. How to invest health resources wisely, such that public health benefits are maximized-and opportunity costs are minimized-is a critical question in the setting of enhanced cytologic screening methods, human papillomavirus DNA testing, and vaccine development. Developing sound…
Mathematical Models | Policy/Regulation | Chronic Disease/Risk | Infectious Diseases | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Global -
ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
Mathematical Models | Calibration/Validation | Chronic Disease/Risk | State-Transition | Microsimulation | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Economics/Finance | Food/Agriculture | Health/Medicine -
ReviewPublication 2010Validation of Population-Based Disease Simulation Models: A Review
This article develops a framework for validating population-based chronic disease simulation models, and reviews the …
This article develops a framework for validating population-based chronic disease simulation models, and reviews the principles and methods for such models. While computer simulation models are used increasingly to support public health research and policy, questions about their quality persist. Based on the review, the authors formulated a set of recommendations for gathering evidence of model credibility. They find that evidence of model credibility derives from examining: 1) the process of model development, 2) the…
Mathematical Models | Calibration/Validation | Chronic Disease/Risk | Social Determinants | Health/Medicine -
ReviewPublication 2006Public Health Policy for Cervical Cancer Prevention: Decision Science, Economic Evaluation, & Mathematical Modeling
Several factors are changing the landscape of cervical cancer control, including a better understanding of …
Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes,…
Mathematical Models | Chronic Disease/Risk | Infectious Diseases | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Science/Technology | 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…
Mathematical Models | Technology Assessment | Policy/Regulation | Priority Setting/Ethics | Evidence Synthesis | Environmental Health | Health Systems | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America -
ReviewPublication 2023Systematic Review of Cost-Effectiveness Studies of Newer Non-Insulin Antidiabetic Drugs: Trends in Decision-Analytical Models for Modelling of Type 2 Diabetes Mellitus
This systematic review analyzed cost-effectiveness analyses (CEAs) using decision-analytical modeling (DAM) to compare non-insulin antidiabetic …
This systematic review analyzed cost-effectiveness analyses (CEAs) using decision-analytical modeling (DAM) to compare non-insulin antidiabetic drugs (NIADs) within glucagon-like peptide-1 (GLP1) receptor agonists, sodium-glucose cotransporter-2 (SGLT2) inhibitors, or dipeptidyl peptidase-4 (DPP4) inhibitors for treating type 2 diabetes mellitus (T2DM). The study focused on economic results and underlying methodological choices. Methods included searching PubMed, Embase, and Econlit databases from January 1, 2018, to November 15, 2022. Two reviewers screened titles, abstracts, and full texts for relevance…
Mathematical Models | Chronic Disease/Risk | Evidence Synthesis | Cost-Effectiveness Analysis | Health/Medicine | Europe