Resources Repository
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ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Microsimulation | Mathematical Models | Calibration/Validation | Health/Medicine | Costing Methods | Evidence Synthesis | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | North America -
ReportPublication 2015Opioid Dependence: Final Report
This report from the Institute for Clinical and Economic Review (ICER) examines the comparative effectiveness and value …
This report from the Institute for Clinical and Economic Review (ICER) examines the comparative effectiveness and value of interventions for the management of opioid dependence. The goals of the report are to document the federal and New England state regulations affecting treatment options, provide an overview of existing clinical guidelines and payer coverage policies, and summarize the evidence on the different management approaches for opioid dependence, including special considerations for adolescents. An appendix is provided by ICER.…
Technology Assessment | Cost-Effectiveness Analysis | Health Outcomes | Health/Medicine | Preferences/Values | Evidence Synthesis | Chronic Disease/Risk | Mental Health | Health Systems | Policy/Regulation | Business/Industry | Government/Law | Science/Technology | North America -
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/Medicine | Health Systems | Clinical Care -
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…
Cost-Effectiveness Analysis | State-Transition | Health Outcomes | Health/Medicine | Maternal/Reproductive Health | Health Systems | Policy/Regulation | Economics/Finance | 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…
Mathematical Models | Calibration/Validation | Health Outcomes | Health/Medicine | Costing Methods -
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…
Microsimulation | Mathematical Models | State-Transition | Health/Medicine -
GuidelinesPublication 2012Dynamic Transmission Modeling: A Report of the ISPOR-SMDM Modeling Task Force-5
This paper reports the consensus-based guidelines on dynamic transmission modeling in health care. The transmissible …
This paper reports the consensus-based guidelines on dynamic transmission modeling in health care. The transmissible nature of communicable diseases is what sets them apart from other diseases modeled by health economists. The probability of a susceptible individual becoming infected at any one point in time (the force of infection) is related to the number of infectious individuals in the population, will change over time, and will feed back into the future force of infection. These…
Dynamic Simulation | Mathematical Models | Dynamic Transmission | Health/Medicine | Infectious Diseases -
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…
Dynamic Simulation | Mathematical Models | Calibration/Validation | Health/Medicine | Evidence Synthesis -
ArticlePublication 2012Modeling the Risks and Benefits of Depression Treatment for Children and Young Adults
This article, published in Value in Health, presents a discrete event simulation model to quantify …
This article, published in Value in Health, presents a discrete event simulation model to quantify the trade-offs with respect to clinical benefits and the risk of fatal and non-fatal suicidal behavior of alternative treatment strategies for a U.S. pediatric population with major depressive disorder. The authors evaluate treatment strategies including: selective serotonin reuptake inhibitors (SSRIs), cognitive behavioral therapy (CBT), and a combination of both. The results show that the use of SSRIs is associated with…
Microsimulation | Technology Assessment | Health Outcomes | Health/Medicine | Mental Health | North America