Resources Repository
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ReviewPublication 2017Model-Based Economic Evaluation of Treatments for Depression: A Systematic Review
This article, published in Pharmacoeconomics, systematically reviews the literature in order to identify model-based studies …
This article, published in Pharmacoeconomics, systematically reviews the literature in order to identify model-based studies evaluating the cost-effectiveness of treatments for depression and examine the appropriateness of different modelling technique for simulating the natural course of depression. The review yielded 41 model-based studies, of which 21 used decision trees (DTs), 15 used cohort-based state-transition Markov models (CMMs), two used individual-based state-transition models (ISMs), and three used discrete-event simulation (DES) models. Just over half of the…
Microsimulation | Mathematical Models | State-Transition | Cost-Effectiveness Analysis | Mental Health | Health/Medicine -
ReviewPublication 2016Remembering Howard Raiffa
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on …
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on the fields of systems analysis and operations research. He guided the introduction of the decision sciences into numerous fields such as business, medicine, public health, the environmental sciences, and law, and was instrumental in building world-recognized institutions such as the Kennedy School at Harvard and the International Institute for Applied Systems Analysis near Vienna, Austria. This article is a thoughtful tribute by…
Decision Analysis | Decision Theory | Preferences/Values | Operations Research | Business/Industry | Economics/Finance | Health/Medicine | Military/Defense | North America -
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.
Decision Analysis | Preferences/Values | Priority Setting/Ethics | Benefit-Cost Analysis | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment | Culture/Society | Economics/Finance | Government/Law | North America | Critical Thinking/Analysis -
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 | Mathematical Models | State-Transition | Health Systems | Clinical Care | Health/Medicine -
ReviewPublication 2013Valuing the Economic Benefits of Complex Interventions
This is a review of economic evaluations of complex health interventions. Complex interventions, involving interlinked …
This is a review of economic evaluations of complex health interventions. Complex interventions, involving interlinked packages of care, challenge the application of current methods of economic evaluation that focus on measuring only health gain. The authors find that complex interventions may be problematic on two levels. First, the complexity means the intervention may not fit into one of the current appraisal systems, and/or second, maximizing health is not the only objective. This paper discusses the…
Decision Analysis | Preferences/Values | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | Europe -
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…
Decision Analysis | Value of Information | Risk Analysis | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment | Government/Law -
ReviewPublication 2011Dynamic Microsimulation Models for Health Outcomes: A Review
This review article presents an overview of microsimulation modeling, focusing on the development and application …
This review article presents an overview of microsimulation modeling, focusing on the development and application of these models for health policy questions. Microsimulation models for health outcomes simulate individual event histories associated with key components of a disease process; these simulated life histories can be aggregated to estimate population-level effects of treatment on disease outcomes and the comparative effectiveness of treatments. The authors argue that methodological improvements in modeling approaches have been slowed by the…
Microsimulation | Health Outcomes | Calibration/Validation | Health/Medicine -
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…
Microsimulation | Mathematical Models | State-Transition | Dynamic Transmission | Calibration/Validation | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | Science/Technology -
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,…
Decision Analysis | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology | Global