Resources Repository
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BookPublication 2016Cost-Effectiveness in Health and Medicine, 2nd Edition
This is a revised and expanded edition of the original text on Cost-Effectiveness in Health and Medicine. The …
This is a revised and expanded edition of the original text on Cost-Effectiveness in Health and Medicine. The Second Panel on Cost-Effectiveness in Health and Medicine included experts drawn from academia, healthcare administration, and government. The book offers advice for conducting analyses to improve the allocation of health resources, and is intended for economists, policy analysts, hospital executives, and students across health, business, and humanities disciplines. New components of this edition, include an in-depth review of the past 20…
Preferences/Values | Mathematical Models | Europe | North America | Health Systems | Priority Setting/Ethics | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | Policy/Regulation | Economics/Finance | Health/Medicine | Global -
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 | Mathematical Models | Europe | North America | Health Systems | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | Health/Medicine | Science/Technology -
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 | Mathematical Models | Europe | North America | Health Systems | Probability/Bayes | Costing Methods | Health Outcomes | Test Performance | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ReportPublication 2021Valuing COVID-19 Mortality and Morbidity Risks
In this report, the researchers develop an approach for valuing COVID-19 mortality and morbidity risk …
In this report, the researchers develop an approach for valuing COVID-19 mortality and morbidity risk reductions that builds on the U.S. Department of Health and Human Services (HHS) Guidelines for Regulatory Impact Analysis. They review the differences between COVID-19 mortality risks and the types of risks that are more commonly studied, and find that the impacts of these differences on the value of mortality risk reductions (the value per statistical life, VSL) are uncertain. They…
Preferences/Values | Benefit-Cost Analysis | North America | Infectious Diseases | Policy/Regulation | Government/Law -
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 | Europe | North America | Health Systems | Health Outcomes | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine -
BookPublication 1980Clinical Decision Analysis
This text was conceived and developed in the Harvard T.H. Chan School of Public Health …
This text was conceived and developed in the Harvard T.H. Chan School of Public Health at the Center for the Analysis of Health Practices. The book had its origins in a set of classroom materials developed during the academic year 1974-75 for an elective course in medical decision making at the Harvard Medical School. In this book students are shown how to structure clinical decision problems, how to systematically formulate the intertwining roles of diagnosis and treatment, how to…
Preferences/Values | Europe | North America | Infectious Diseases | Probability/Bayes | Costing Methods | Health Outcomes | Test Performance | Value of Information | State-Transition | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Global | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ReportPublication 2021What the American Public Thinks About Vaccines and How Framing Can Help
This paper explores the question of public understandings, beliefs, and attitudes about vaccination in general, …
This paper explores the question of public understandings, beliefs, and attitudes about vaccination in general, and childhood vaccination more specifically. The authors provide an overview of the existing literature on public thinking about vaccination and on effective communication strategies and interventions that have been either suggested or empirically tested. This description was extracted from the publication abstract.
Preferences/Values | North America | Infectious Diseases | Child/Nutrition | Social Determinants | Culture/Society | Health/Medicine | Science/Technology -
ReviewPublication 2017Use of Mathematical Models of Chlamydia Transmission to Address Public Health Policy Questions
This review provides an overview of chlamydia transmission models and offers perspective on how mathematical …
This review provides an overview of chlamydia transmission models and offers perspective on how mathematical modeling has responded over time to additional empirical evidence in order to address policy questions related to prevention of chlamydia infection. The authors reviewed published chlamydia models to understand the range of approaches used for policy analyses and how the studies have responded to developments in the field. The authors identified 47 publications reporting on 29 mathematical models through a…
Mathematical Models | North America | Infectious Diseases | State-Transition | Dynamic Transmission | Clinical Care | Health/Medicine -
GuidelinesPublication 2016Decision Models in Clinical Preventive Services Recommendations
The U.S. Preventive Services Task Force (USPSTF) develops evidence-based recommendations about preventive care based on …
The U.S. Preventive Services Task Force (USPSTF) develops evidence-based recommendations about preventive care based on comprehensive systematic reviews of the best available evidence. Decision models provide a complementary, quantitative approach to support the USPSTF as it deliberates about the evidence and develops recommendations for clinical and policy use. This article describes the rationale for using modeling, an approach to selecting topics for modeling, and how modeling may inform recommendations about clinical preventive services.
Mathematical Models | North America | Health Systems | Health Outcomes | Evidence Synthesis | Decision Analysis | Policy/Regulation | Health/Medicine