Resources Repository
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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,…
State-Transition | Mathematical Models | Microsimulation | Health Systems | Clinical Care | Health/Medicine -
ArticlePublication 2013Validation and Calibration of a Simulation Model of Pediatric HIV Infection
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of …
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of Preventing AIDS Complications (CEPAC) model framework. This CEPAC-Pediatric model was then validated by varying CD4 data and comparing the corresponding model-generated survival curves to empirical survival curves obtained from the International Epidemiologic Database to Evaluate AIDS (IeDEA). The model was calibrated to other African countries by systematically varying immunologic and HIV mortality-related input parameters. In the calibration analyses, the model-generated…
Calibration/Validation | Microsimulation | Infectious Diseases | Child/Nutrition | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2013Estimated Mortality Impact of Vaccinations 2011–2020 in 73 GAVI Alliance Countries
From August to December 2011, a multidisciplinary group with expertise in mathematical modeling was constituted …
From August to December 2011, a multidisciplinary group with expertise in mathematical modeling was constituted by the GAVI Alliance and the Bill & Melinda Gates Foundation to estimate the impact of vaccination in 73 countries supported by the GAVI Alliance. The number of deaths averted in persons projected to be vaccinated during 2011–2020 was estimated for ten antigens: hepatitis B, yellow fever, Haemophilus influenzae type B (Hib), Streptococcus pneumoniae, rotavirus, Neisseria meningitidis serogroup A, Japanese…
State-Transition | Health Outcomes | Mathematical Models | Dynamic Transmission | Microsimulation | Infectious Diseases | Global Governance | Economics/Finance | Health/Medicine | Science/Technology | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
BookPublication 2013Medical Decision Making
This new edition of Medical Decision Making provides a review of the key decision making infrastructure …
This new edition of Medical Decision Making provides a review of the key decision making infrastructure of clinical practice and explains the principles of medical decision making both for individual patients and the wider health care arena. Targeted to clinicians interested in medical decision making, it demonstrates how to make the best clinical decisions based on the available evidence and how to use clinical guidelines and decision support systems in electronic medical records to shape practice…
State-Transition | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2013Contribution of H. Pylori and Smoking to US Incidence of Gastric Adenocarcinoma: A Microsimulation Model
Although gastric cancer has declined dramatically in the US, the disease remains the second leading …
Although gastric cancer has declined dramatically in the US, the disease remains the second leading cause of cancer mortality worldwide. This analysis estimates the contribution of risk factor trends on past and future intestinal-type non-cardia gastric adenocarcinoma (NCGA) incidence. The authors developed a population-based microsimulation model of intestinal-type NCGA and calibrated it to U.S. epidemiologic data on precancerous lesions and cancer. The model explicitly incorporated the impact of Helicobacter pylori and smoking on disease natural history, for which…
Calibration/Validation | Microsimulation | Chronic Disease/Risk | Social Determinants | Culture/Society | Health/Medicine | North America -
ArticlePublication 2013Health Benefits and Cost-Effectiveness of Strategies to Reduce Maternal Mortality in Afghanistan
This article, published in Health Policy and Planning, disaggregates data on pregnancies in Afghanistan to …
This article, published in Health Policy and Planning, disaggregates data on pregnancies in Afghanistan to evaluate health outcomes and cost-effectiveness of interventions related to childbirth. These interventions include antenatal care, family planning, skilled birth attendance, access to transport, referral facilities, and quality of overall care. Outcomes include pregnancy-related complications, maternal deaths, maternal mortality ratios, costs and cost-effectiveness ratios. The authors report that increasing family planning would be the most effective individual intervention. The model suggests…
State-Transition | Health Outcomes | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | Asia & Pacific -
GuidelinesPublication 2012Model Transparency and Validation: A Report of the ISPOR-SMDM Modeling Task Force-7
This paper discusses how to improve trust in the use of health care models through …
This paper discusses how to improve trust in the use of health care models through validation and transparency. Validation involves face validity (wherein experts evaluate model structure, data sources, assumptions, and results), verification or internal validity (check accuracy of coding), cross validity (comparison of results with other models analyzing same problem), external validity (comparing model results to real-world results), and predictive validity (comparing model results with prospectively observed events). Recommendations are provided for nontechnical description…
Calibration/Validation | Costing Methods | Health Outcomes | Mathematical Models | Health/Medicine -
GuidelinesPublication 2012State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Task Force-3
State-transition modeling includes both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) …
State-transition modeling includes both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) microsimulation. These models have been used in many different populations and diseases, and their applications range from personalized health care strategies to public health programs. Most frequently, state-transition models are used in the evaluation of risk factor interventions, screening, diagnostic procedures, treatment strategies, and disease management programs. Recommendations are made on choice of model type (cohort vs. individual-level model), model…
State-Transition | Mathematical Models | Microsimulation | Health/Medicine -
GuidelinesPublication 2012Modeling Using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Task Force-4
This paper reports on consensus-based guidelines on the application of DES in a health care …
This paper reports on consensus-based guidelines on the application of DES in a health care setting, covering the range of issues to which DES can be applied. Discrete event simulation (DES) is a form of computer-based modeling that provides an intuitive and flexible approach to representing complex systems. The article works through the different stages of the modeling process: structural development, parameter estimation, model implementation, model analysis, and representation and reporting. Recommendations are made for…
Calibration/Validation | Evidence Synthesis | Mathematical Models | Dynamic Simulation | Health/Medicine