Resources Repository
-
ArticlePublication 2021COVID-19 Vaccine Hesitancy: The Five C's to Tackle Behavioral and Sociodemographic Factors
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of …
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of the world’s population needs to be vaccinated. This article acknowledges that hesitancy is one of the most substantial hurdles to vaccination uptake at levels that would achieve herd immunity. Authors define hesitancy as “a delay in acceptance or refusal despite availability.” Five factors are proposed to tackle vaccine hesitancy, referred to as the five “C’s”: Confidence (importance, safety and efficacy…
Preferences/Values | Health Outcomes | Health/Medicine | Decision Psychology | Evidence Synthesis | Infectious Diseases | Social Determinants | Culture/Society | Science/Technology | North America -
ArticlePublication 2020Incorporating Perspective into Clinical Decisions
Part of a six-part series of articles on clinical decision making, in this article, the …
Part of a six-part series of articles on clinical decision making, in this article, the authors discuss how to incorporate perspective into clinical decisions, explicitly acknowledging that the treating physician is not the only stakeholder in these decisions. The authors use 2 case studies to demonstrate how changes in perspective can alter the clinical decision as well lead to both intended and unintended consequences to the outcomes.
Preferences/Values | Health Outcomes | Health/Medicine | Priority Setting/Ethics | Health Systems | Clinical Care -
Working PaperPublication 2018Valuing Nonfatal Health Risk Reductions
This paper explores approaches for valuing nonfatal risk reductions associated with policy choices in low- …
This paper explores approaches for valuing nonfatal risk reductions associated with policy choices in low- and middle-income countries. The approach for valuation ideally would be based on estimates of individuals’ willingness to pay for changes in their own risks. However, high quality valuation research is not available for many nonfatal conditions even in high-income settings. Typically, two approaches are used either alone or in combination as rough proxies. The first involves applying an estimate of…
Preferences/Values | Health Outcomes | Health/Medicine | Priority Setting/Ethics | Decision Analysis | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Economics/Finance | Global | Critical Thinking/Analysis -
ArticlePublication 2018Trading Bankruptcy for Health: A Discrete-Choice Experiment
This article in Value in Health evaluates the importance of improved health as compared to …
This article in Value in Health evaluates the importance of improved health as compared to improved financial risk protection in the general United States population. Using a discrete-choice experiment, it finds that 31.3% of the population values cure at all costs, and 8.5% of the population use financial solvency to dominate medical decision making. This study shares insight to the US population values and trade-offs between health outcomes and financial health, and highlights the difficult…
Preferences/Values | Health Outcomes | Health/Medicine | Priority Setting/Ethics | Health Systems | Culture/Society | Economics/Finance | North America -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Valuing Individual Health Outcomes
In this teaching pack on Valuing Individual Health Outcomes, students learn how to assign quantitative …
In this teaching pack on Valuing Individual Health Outcomes, students learn how to assign quantitative values to health outcomes at the individual level, including: expected utility theory, the axioms of this theory, distinguishing between preference-based measures of value and health-related quality of life outcomes, measuring utility using the standard gamble, the time trade-off, and the visual analog scale, and understanding the limitations of these measures. Materials include an instructor's note, videos, companion slides, a glossary,…
Preferences/Values | Health Outcomes | Health/Medicine | Decision Analysis | Injuries/Accidents | Economics/Finance | College | Graduate | Doctoral -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Population Health Outcomes
In this teaching pack on Population Health Outcomes, students learn how to describe outcomes at a …
In this teaching pack on Population Health Outcomes, students learn how to describe outcomes at a population level using quality adjusted life years (QALYs), including how to calculate QALYs, the assumptions underlying them, how to derive QALYs using indirect utility measures, and what are some of the ethical criticisms of QALYs. Materials include an instructor’s note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Define Quality-Adjusted Life Years (QALYs)…
Preferences/Values | Health Outcomes | Health/Medicine | Priority Setting/Ethics | Injuries/Accidents | College | Graduate | Doctoral -
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 | Health/Medicine | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Economics/Finance | North America | Europe -
ArticlePublication 2017Predicting Carer Health Effects for Use in Economic Evaluation
Illnesses and interventions can affect the health status of family carers in addition to patients. …
Illnesses and interventions can affect the health status of family carers in addition to patients. However economic evaluation studies rarely incorporate data on health status of carers. In order to investigate whether changes in carer health status could be ‘predicted’ from the health data of those they provide care to, as a means of incorporating carer outcomes in economic evaluation, the authors used regression models to analyse changes in carers’ health status. They derive predictive algorithms based on…
Preferences/Values | Health Outcomes | Health/Medicine | Cost-Effectiveness Analysis | Infectious Diseases | North America | Europe -
Tutorial/PrimerPublication, Teaching Resource 2017Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software
This is a user guide on the analysis of data (including best-worst and best-best data) …
This is a user guide on the analysis of data (including best-worst and best-best data) generated from discrete-choice experiments (DCEs), comprising a theoretical review of the main choice models followed by practical advice on estimation and post-estimation. Authors also provide a review of standard software. Authors argue that choice of modelling approach depends on the research questions, study design and constraints in terms of quality/quantity of data and that decisions made in relation to analysis of…
Preferences/Values | Health Outcomes | Health/Medicine | Decision Analysis | Economics/Finance | Graduate | Doctoral | Professional | Quantitative Literacy