Resources Repository
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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 | Health Outcomes | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine | North America | Europe -
ReviewPublication 2017Model-Based Economic Evaluation of Treatments for Depression: A Systematic Review
This article, published in Pharmacoeconomics, systematically reviews the literature in order to identify model-based studies …
This article, published in Pharmacoeconomics, systematically reviews the literature in order to identify model-based studies evaluating the cost-effectiveness of treatments for depression and examine the appropriateness of different modelling technique for simulating the natural course of depression. The review yielded 41 model-based studies, of which 21 used decision trees (DTs), 15 used cohort-based state-transition Markov models (CMMs), two used individual-based state-transition models (ISMs), and three used discrete-event simulation (DES) models. Just over half of the…
Microsimulation | Mathematical Models | State-Transition | Cost-Effectiveness Analysis | Mental Health | Health/Medicine -
ReviewPublication 2017Quality of Life as an Outcome of Opioid Use Disorder Treatment
The recent opioid epidemic has prompted renewed interest in opioid use disorder treatment, but there …
The recent opioid epidemic has prompted renewed interest in opioid use disorder treatment, but there is little evidence regarding health-related quality-of-life (HRQoL) outcomes in treatment programs. Measuring HRQoL represents an opportunity to consider outcomes of opioid use disorder treatment that are more patient-centered and more relevant to overall health than abstinence alone. This systematic literature review explores the extent to which the collection of HRQoL by opioid treatment programs is documented in the treatment program literature.…
Preferences/Values | Health Outcomes | Evidence Synthesis | Chronic Disease/Risk | Mental Health | Social Determinants | Health Systems | Economics/Finance | Health/Medicine -
ReviewPublication 2017Validation and Calibration of Structural Models that Combine Information from Multiple Sources
This is a review of calibration and validation methods in mathematical modeling. Such models that …
This is a review of calibration and validation methods in mathematical modeling. Such models that attempt to capture structural relationships between their components and combine information from multiple sources are increasingly used in medicine. The authors provide an overview of methods for model validation and calibration and survey studies comparing alternative approaches. Model validation entails a confrontation of models with data, background knowledge, and other models, and can inform judgments about model credibility. Calibration involves…
Calibration/Validation | Mathematical Models | Health/Medicine -
GuidelinesPublication 2016Estimating Health-State Utility for Economic Models: ISPOR Task Force Report
Cost-utility models are increasingly used in many countries to establish whether the cost of a …
Cost-utility models are increasingly used in many countries to establish whether the cost of a new intervention can be justified in terms of health benefits. Health-state utility (HSU) estimates (the preference for a given state of health on a cardinal scale where 0 represents dead and 1 represents full health) are typically among the most important and uncertain data inputs in cost-utility models. Clinical trials represent an important opportunity for the collection of health-utility data.…
Preferences/Values | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Health/Medicine | Science/Technology | North America | Europe -
ReviewPublication 2016Strengthening Cost-Effectiveness Analysis for Public Health Policy
Many important opportunities to improve health lie outside the health sector and involve improving the …
Many important opportunities to improve health lie outside the health sector and involve improving the conditions in which we live and work: safe design and maintenance of roads, bridges, train tracks, and airports; control of environmental pollutants; occupational safety; healthy buildings; a safe and healthy food supply; safe manufacture of consumer products; a healthy social environment; and others. Faced with the overwhelming array of possibilities, U.S. decision makers need help identifying those that can contribute the…
Preferences/Values | Priority Setting/Ethics | Costing Methods | Cost-Effectiveness Analysis | Social Determinants | Environmental Health | Health Systems | Policy/Regulation | Climate/Environment | Economics/Finance | Food/Agriculture | Health/Medicine | North America -
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…
Microsimulation | Mathematical Models | State-Transition | Dynamic Transmission | Dynamic Simulation | Chronic Disease/Risk | Social Determinants | Environmental Health | Health Systems | Climate/Environment | Culture/Society | Health/Medicine -
ReviewPublication 2016Decision Support for Infectious Disease Control
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to …
This report from RAND reviews decision-support tools, including models and nonmodeling approaches, that are relevant to infectious disease prevention, detection, and response and aligns these tools with real-world policy questions that the tools can help address. This overview is designed to help modelers and other technical experts understand the questions that policymakers will raise and the decisions they must make. The report also presents policymakers with the capabilities and limitations of the different tools that may…
Microsimulation | Mathematical Models | State-Transition | Dynamic Transmission | Dynamic Simulation | Infectious Diseases | Global Governance | Government/Law | Health/Medicine | Military/Defense | Global -
ReviewPublication 2015Decision-Analytic Modeling Studies of Multiple Myeloma
This review provides an overview of decision-analytic models evaluating different treatment strategies for multiple myeloma …
This review provides an overview of decision-analytic models evaluating different treatment strategies for multiple myeloma and is based on a systematic literature search to identify studies evaluating treatment strategies using mathematical decision-analytic models. Studies were included that assessed relevant clinical endpoints, and summarized methodological characteristics (e.g., modeling approaches, simulation techniques, health outcomes, perspectives). Eleven decision-analytic modeling studies met inclusion criteria. Five different modeling approaches were adopted: decision-tree modeling, Markov state-transition modeling, discrete event simulation, partitioned-survival analysis and…
Microsimulation | Mathematical Models | State-Transition | Dynamic Simulation | Chronic Disease/Risk | Health/Medicine