Resources Repository
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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;…
Benefit-Cost Analysis | Decision Analysis | Environmental Health | Preferences/Values | Priority Setting/Ethics | Policy/Regulation | Climate/Environment | Government/Law | North America | Critical Thinking/Analysis -
ReviewPublication 2012Applying Decision Science to Managing National Forests
This publication is an example of the application of decision science to the management of …
This publication is an example of the application of decision science to the management of federal public forests, in particular to meet sustainability goals and multiple use regulations. Through three case studies, the authors describe four stages of a decision analytic approach: problem structuring (framing the problem and defining objectives and evaluation criteria), problem analysis (defining alternatives, evaluating likely consequences, identifying key uncertainties, and analyzing tradeoffs), decision point (identifying the preferred alternative), and implementation and monitoring…
Risk Analysis | Decision Analysis | Environmental Health | Value of Information | Social Determinants | Policy/Regulation | Climate/Environment | Government/Law -
ReviewPublication 2016Strengthening Cost-Effectiveness Analysis for Public Health Policy
Many important opportunities to improve health lie outside the health sector and involve improving the …
Many important opportunities to improve health lie outside the health sector and involve improving the conditions in which we live and work: safe design and maintenance of roads, bridges, train tracks, and airports; control of environmental pollutants; occupational safety; healthy buildings; a safe and healthy food supply; safe manufacture of consumer products; a healthy social environment; and others. Faced with the overwhelming array of possibilities, U.S. decision makers need help identifying those that can contribute the…
Cost-Effectiveness Analysis | Environmental Health | Preferences/Values | Priority Setting/Ethics | Costing Methods | Social Determinants | Health Systems | Policy/Regulation | Climate/Environment | Economics/Finance | Food/Agriculture | Health/Medicine | North America -
ReviewPublication 2016Choosing an Epidemiological Model Structure for Economic Evaluation
This review presents a taxonomy of epidemiological model structures and applies it to the economic …
This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Growing pressures on health services and on social care have led to a greater need for prevention of chronic diseases. In order for decision makers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of…
Microsimulation | Environmental Health | Mathematical Models | State-Transition | Dynamic Transmission | Dynamic Simulation | Chronic Disease/Risk | Social Determinants | Health Systems | Climate/Environment | Culture/Society | Health/Medicine -
ReviewPublication 2014Markov Modeling & Discrete Event Simulation in Health Care: Systematic Comparison
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) …
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) for cost-effectiveness analysis (CEA) may alter healthcare resource allocation decisions. A systematic literature search and review of empirical and non-empirical studies comparing MM and DES techniques used in the CEA of healthcare technologies was conducted. The primary advantages described for DES over MM were the ability to model queuing for limited resources, capture individual patient histories, accommodate complexity and uncertainty,…
Microsimulation | Clinical Care | Mathematical Models | State-Transition | Health Systems | Health/Medicine -
GuidelinesPublication 2011HPV Vaccine Introduction in LMIC's: Guidance on the Use of Cost-Effectiveness Models
This article is a literature review of HPV vaccination models suitable for low-income and middle-income …
This article is a literature review of HPV vaccination models suitable for low-income and middle-income country use to provide information about the feasibility of using such models in a developing country setting. The authors evaluated models in terms of their capacity, requirements, limitations and comparability. Their literature review identified six HPV vaccination models suitable for low-income and middle-income country use and representative of the literature in terms of provenance and model structure. Each model was…
Cost-Effectiveness Analysis | Clinical Care | Mathematical Models | Calibration/Validation | Infectious Diseases | Chronic Disease/Risk | Health Systems | 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…
Technology Assessment | Environmental Health | Priority Setting/Ethics | Evidence Synthesis | Mathematical Models | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America