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 | Calibration/Validation | Health/Medicine | North America | Policy/Regulation | Health Systems | Chronic Disease/Risk | Costing Methods | Evidence Synthesis | Mathematical Models | Clinical Care | Economics/Finance -
ArticlePublication 2020Online Competition between Pro- and Anti-Vaccination Views
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, …
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks as happened for measles in 2019. Homemade remedies and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice. There is a lack of understanding about how this distrust evolves at the system level. Authors provide a map of the contention surrounding vaccines that has…
Preferences/Values | Decision Psychology | Health/Medicine | North America | Policy/Regulation | Health Systems | Infectious Diseases | Social Determinants | Culture/Society | Government/Law | Science/Technology -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Preferences/Values | Microsimulation | Health/Medicine | North America | Health Systems | Chronic Disease/Risk | Health Outcomes | Evidence Synthesis | Test Performance | Cost-Effectiveness Analysis | Clinical Care | Science/Technology -
BookPublication 2013Making Hard Decisions with Decision Tools, 3rd Edition
Making Hard Decisions with Decision Tools® is a new edition and teaches the fundamental ideas …
Making Hard Decisions with Decision Tools® is a new edition and teaches the fundamental ideas of decision analysis, without an overly technical explanation of the mathematics used in decision analysis. This new version has been purposefully written to be more relevant to students in business and engineering compared to previous versions. This new version also incorporates and implements the powerful DecisionTools® software by Palisade Corporation. At the end of each chapter, topics are illustrated with step-by-step instructions…
Preferences/Values | Microsimulation | Energy/Engineering | Health/Medicine | North America | Policy/Regulation | Probability/Bayes | Test Performance | Value of Information | Decision Analysis | Business/Industry | Military/Defense | Science/Technology | Global | Europe -
ArticlePublication 2008Health and Economic Implications of HPV Vaccination in the U.S.
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical …
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical carcinogenesis to compare the health and economic outcomes of vaccinating preadolescent girls in the US (at 12 years of age), and vaccinating older girls and women in catch-up programs (to 18, 21, or 26 years of age). The study also examined the health benefits of averting other HPV-16-related and HPV-18-related cancers, the prevention of HPV-6-related and HPV-11-related genital warts and…
Microsimulation | Calibration/Validation | Health/Medicine | North America | Health Systems | Chronic Disease/Risk | Dynamic Transmission | Cost-Effectiveness Analysis | Infectious Diseases | Clinical Care | Economics/Finance | Science/Technology -
Resource PackPublication, Teaching Resource 2017Resource Pack: U.S. Opioid Epidemic
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public …
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public health crisis, requiring an urgent coordinated response and innovative scientific solutions. This resource pack was curated for educators and students interested in how decision analytic methods and tools can be applied to the problem of opioid addiction.
Preferences/Values | Health/Medicine | North America | Policy/Regulation | Health Systems | Chronic Disease/Risk | Evidence Synthesis | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Mental Health | Social Determinants | Economics/Finance | Government/Law | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Microsimulation | Health/Medicine | North America | Policy/Regulation | Health Systems | Chronic Disease/Risk | Mathematical Models | State-Transition | Dynamic Simulation | Decision Analysis | Environmental Health | Business/Industry | Climate/Environment | Government/Law -
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.…
Preferences/Values | Health/Medicine | North America | Policy/Regulation | Health Systems | Chronic Disease/Risk | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Technology Assessment | Mental Health | Business/Industry | Government/Law | Science/Technology -
ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
Microsimulation | Calibration/Validation | Health/Medicine | North America | Chronic Disease/Risk