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Resources Repository
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ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Mathematical Models | Calibration/Validation | Health/Medicine | Science/Technology | Health Systems | Clinical Care | Evidence Synthesis | Chronic Disease/Risk | North America -
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…
Mathematical Models | Calibration/Validation | Health/Medicine | Science/Technology | Health Systems | Clinical Care | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Global -
ArticlePublication 2008Health and Economic Impact of HPV 16 and 18 Vaccination and Cervical Cancer Screening in India
As cervical cancer is a leading cause of cancer death among women in low-income countries, …
As cervical cancer is a leading cause of cancer death among women in low-income countries, with approximately 25% of cases worldwide occurring in India, these authors estimated the potential health and economic impact of different cervical cancer prevention strategies in India. After empirically calibrating a cervical cancer model to country-specific epidemiologic data, they projected cancer incidence, life expectancy, and lifetime costs (I$2005), and calculated incremental cost-effectiveness ratios (I$/YLS) for the following strategies: pre-adolescent vaccination of…
Microsimulation | Calibration/Validation | Health/Medicine | Science/Technology | Health Systems | Clinical Care | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Asia & Pacific -
ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Microsimulation | Mathematical Models | Calibration/Validation | Health/Medicine | Health Systems | Clinical Care | Health Outcomes | Maternal/Reproductive Health | Global -
Resource PackWeb Portal, Teaching Resource 2017Resource Pack: Valuing Vaccines and GAVI
This resource pack on valuing vaccines and GAVI was curated by the Center for Health …
This resource pack on valuing vaccines and GAVI was curated by the Center for Health Decision Science to showcase existing information and analyses to motivate students, educators and others to pursue new applications of decision science methods to the public health challenge of vaccine preventable illnesses.
Mathematical Models | Calibration/Validation | Dynamic Transmission | Health/Medicine | Science/Technology | Health Systems | Preferences/Values | Priority Setting/Ethics | Costing Methods | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Global Governance | Economics/Finance | Government/Law | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
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 | Health Systems | Clinical Care | Costing Methods | Evidence Synthesis | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | 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 2011Model-Based Analyses to Compare Health and Economic Outcomes of Cancer Control: Inclusion of Disparities
In order to identify strategies that improve both population health and ensure its equitable distribution, …
In order to identify strategies that improve both population health and ensure its equitable distribution, the authors developed a typology of cancer disparities that considers types of inequalities among black, white, and Hispanic populations across different cancers. This paper reports on the typology using an existing disease simulation model of cervical cancer that was calibrated to clinical, epidemiological, and cost data in the United States and presents characteristics important for policy discussions. The typology proposed…
State-Transition | Health/Medicine | Culture/Society | Science/Technology | Health Systems | Clinical Care | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | North America -
ArticlePublication 2011Dynamic Policies for Controlling Spread of Emerging Infections
This paper illustrates the design and implementation of a dynamic health policy for the control …
This paper illustrates the design and implementation of a dynamic health policy for the control of a novel strain of influenza, where two types of interventions are assumed to be available during the epidemic: (1) vaccines and antiviral drugs, and (2) transmission reducing measures, such as social distancing or mask use, that may be turned "on" or "off" repeatedly during the course of epidemic. A modeling approach is described for developing dynamic health policies that allow…
Dynamic Simulation | Mathematical Models | Dynamic Transmission | Health/Medicine | Science/Technology | Health Systems | Infectious Diseases | Policy/Regulation | Global