Resources Repository
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ReviewPublication 2016Dynamic Transmission Economic Evaluation of Infectious Disease in LMIC
Economic evaluation using dynamic transmission models is important for capturing the indirect effects of infectious …
Economic evaluation using dynamic transmission models is important for capturing the indirect effects of infectious disease interventions. The authors examine the use of these methods in low- and middle-income countries, where infectious diseases constitute a major burden. The review is comprised of two parts: (1) a summary of dynamic transmission economic evaluations across all disease areas published between 2011 and mid-2014 and (2) an in-depth review of mosquito-borne disease studies focusing on health economic methods…
Dynamic Transmission | Health/Medicine | Cost-Effectiveness Analysis | Infectious Diseases | Economics/Finance | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
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 | Health/Medicine | Mathematical Models | State-Transition | Health Systems | Clinical Care -
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 | Health/Medicine | Preferences/Values | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Science/Technology | Europe -
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/Medicine | Health Outcomes | Calibration/Validation -
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 | Health/Medicine | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Science/Technology | Global