Resources Repository
-
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…
Dynamic Simulation | Microsimulation | Decision Analysis | Health Systems | Mathematical Models | State-Transition | Chronic Disease/Risk | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | North America -
Lesson/ModuleVideo, Teaching Resource 2018Introduction to Effectiveness, Patient Preferences, and Utilities
This video is intended to provide an introduction to the concept of the quality-adjusted life …
This video is intended to provide an introduction to the concept of the quality-adjusted life year or QALY as well as preference measurement. Descriptions of the several techniques that can be used for measuring QALYs in economic evaluations are presented. This video is part of the Conducting Cost-Effectiveness Analysis with VA Data (HCEA) free course offered by the U.S. Department of Veterans Affairs Health Services Research and Development group focused on cost-effectiveness analysis and budget…
Preferences/Values | Decision Analysis | Health Systems | Health/Medicine | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Cervical Cancer Models
This resource pack, curated by the Center for Health Decision Science, is a collection of …
This resource pack, curated by the Center for Health Decision Science, is a collection of models of HPV-related cervical cancer, differing in design, structure and features based on analytic objectives. In many ways, HPV and its related diseases represent a prototypical public health problem given the communicable and non-communicable nature of disease, opportunities for intervention along the entire disease spectrum (e.g., primary and secondary prevention, diagnosis, treatment), the varied ages at which interventions are targeted…
Dynamic Simulation | Microsimulation | Health Systems | Mathematical Models | State-Transition | Dynamic Transmission | Calibration/Validation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | Science/Technology | Global -
ReportPublication 2013Decision and Simulation Modeling Alongside Systematic Reviews
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks …
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks to provide guidance for determining when incorporating a decision-analytic model alongside a systemic review would be of added value for decision making purposes. The chapter discusses the role of decision analysis and decision-analytic models in health care, specifically within the context of the current emphasis on evidence-based medicine and the proliferation of systematic reviews. It describes the types of model available…
Dynamic Simulation | Microsimulation | Health Systems | Evidence Synthesis | State-Transition | Dynamic Transmission | Clinical Care | Health/Medicine -
ReviewPublication 2017Patients' Preferences in Cancer Treatment: Review of Discrete Choice Experiments
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer …
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer treatment and assessed the relative importance of outcome, process and cost attributes. A systematic literature review was conducted using PubMed and EMBASE to identify all DCEs investigating patients’ preferences for cancer treatment between January 2010 and April 2016. Attributes were classified into outcome, process and cost attributes, and their relative importance was assessed. A total of 28 DCEs were identified.…
Preferences/Values | Decision Analysis | Health Systems | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | North America | Europe -
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 | Decision Analysis | Health Systems | Evidence Synthesis | Mathematical Models | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Social Determinants | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ReviewPublication 2016Choosing an Epidemiological Model Structure for Economic Evaluation
This review presents a taxonomy of epidemiological model structures and applies it to the economic …
This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Growing pressures on health services and on social care have led to a greater need for prevention of chronic diseases. In order for decision makers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of…
Dynamic Simulation | Microsimulation | Health Systems | Mathematical Models | State-Transition | Dynamic Transmission | Chronic Disease/Risk | Social Determinants | Environmental Health | Climate/Environment | Culture/Society | Health/Medicine -
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 Systems | Health Outcomes | Evidence Synthesis | Test Performance | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology | North America -
BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Preferences/Values | Decision Analysis | Health Systems | Probability/Bayes | Costing Methods | Health Outcomes | Test Performance | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy