Resources Repository
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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 | Technology Assessment | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Science/Technology | North America | Europe -
GuidelinesPublication 2012Modeling Good Research Practices - Overview: A Report of the ISPOR-SMDM Modeling Task Force-1
This paper provides an overview of the work of the joint Task Force between the …
This paper provides an overview of the work of the joint Task Force between the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Society for Medical Decision Making (SMDM), provides the overarching recommendations, and discusses future work that is needed. The audience for these papers includes anyone who build models, stakeholders who utilize their results, and those concerned with the use of models to support decision making. This article is part 1 of…
Calibration/Validation | Value of Information | Costing Methods | Health Outcomes | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Decision Analysis | Infectious Diseases | Health/Medicine -
GuidelinesPublication 2012Model Parameter Estimation and Uncertainty Analysis: A Report of the ISPOR-SMDM Modeling Task Force-6
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity …
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity analysis techniques and probabilistic methods. Stochastic (first-order) uncertainty is distinguished from both parameter (second-order) uncertainty and from heterogeneity, with structural uncertainty relating to the model itself forming another level of uncertainty. The article describes the process of estimating model inputs, whether these are point estimates or distributions. It also explores the link between parameter uncertainty, decision uncertainty, and value-of-information analysis.…
Calibration/Validation | Value of Information | Mathematical Models | Health/Medicine -
EditorialPublication 2021Scientific and Regulatory Challenges in Designing mHealth Interventions
Scientists looking for innovative ways to deliver health care have long searched for mechanisms that …
Scientists looking for innovative ways to deliver health care have long searched for mechanisms that can enable the right intervention to be delivered at the right time. Traditional delivery mechanisms have been limited both to the availability of a provider (e.g., a physician) and the location of care (e.g., a hospital or outpatient clinic). In recent years, however, numerous technological advancements—including wearable devices, mobile technologies, and the widespread development and use of user-friendly smartphone applications—have…
Technology Assessment | Health/Medicine | Science/Technology | North America -
ToolWeb Portal 2024Disinformation
This topic portal, created by the Atlantic Council, focuses on the issue of disinformation, defined …
This topic portal, created by the Atlantic Council, focuses on the issue of disinformation, defined as false or misleading information spread with the intention to deceive. It is distinct from misinformation, which is the unintentional spread of false information. They argue that the “rise of the internet and online social networks has altered the scope and scale at which people access, consume, and communicate information but that the same technologies that have democratized access to…
Preferences/Values | Decision Psychology | Social Determinants | Climate/Environment | Culture/Society | Energy/Engineering | Education/Labor | Government/Law | Health/Medicine | Science/Technology | North America | High School | College | Graduate | Doctoral | Professional -
ToolWeb Portal 2023General Audience Toolkit
This toolkit contains resources for anyone who wants to help increase public confidence in and …
This toolkit contains resources for anyone who wants to help increase public confidence in and uptake of COVID-19 vaccines. This toolkit includes information from the Centers for Disease Control and Prevention (CDC) and culturally tailored materials from the U.S. Department of Health and Human Services (HHS) COVID-19 public education campaign and its team of multicultural experts. This description was extracted from the toolkit website.
Preferences/Values | Infectious Diseases | Social Determinants | Culture/Society | Health/Medicine | Science/Technology | North America -
ToolInteractive 2020COVID-19 Antibody Tests: Calculator for Interpreting Test Results
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article below* on antibody testing for SARS-CoV-2 virus, allows users to vary the prior probability of infection, the sensitivity of SARS-CoV-2 antibody testing, and the specificity of SARS-CoV-2 antibody testing. Key points made in the article accompanying the interactive include: (1) antibody testing is likely to be most useful 2 weeks after infection, (2) sensitivity and specificity will vary over time and…
Technology Assessment | Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology -
EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Technology Assessment | Probability/Bayes | Test Performance | Infectious Diseases | Health Systems | Policy/Regulation | Government/Law | Health/Medicine | Global | North America -
EditorialPublication 2018Combining A4R and MCDA in Priority Setting for Health
Multiple criteria decision analysis (MCDA) has been proposed as a method for determining the criteria …
Multiple criteria decision analysis (MCDA) has been proposed as a method for determining the criteria to be used in health technology assessment. A standard criticism of MCDA is that it lacks attention to securing legitimacy for its decisions. Accountability for reasonableness (A4R) proposes four conditions (publicity, relevance, revisability and enforcement) that must be met if legitimacy and fairness are to be ascribed to decisions about priority setting.The relevance condition of A4R has been criticized for…
Preferences/Values | Priority Setting/Ethics | Health/Medicine