Resources Repository
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ArticlePublication 2021Health Opportunity Cost Threshold for CEA in the U.S.
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, …
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, the authors simulated the short-term mortality and morbidity resulting from increased premium related cancelation of insurance coverage. The authors used this model to estimate cost-effectiveness thresholds, in dollars per quality-adjusted life year (QALY) gained based on health opportunity costs. They reported the number of persons who dropped insurance coverage, resulting number of additional deaths and QALYs lost from mortality and…
Health Outcomes | North America | Health Systems | Priority Setting/Ethics | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Policy/Regulation | Health/Medicine -
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…
Health Outcomes | North America | Health Systems | Preferences/Values | Priority Setting/Ethics | Culture/Society | Economics/Finance | 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.…
Health Outcomes | North America | Health Systems | Preferences/Values | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Europe -
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…
Health Outcomes | North America | Health Systems | Preferences/Values | Priority Setting/Ethics | Costing Methods | Mathematical Models | Cost-Effectiveness Analysis | Technology Assessment | Policy/Regulation | Economics/Finance | Health/Medicine | Global | Europe -
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.
Health Outcomes | North America | Health Systems | Evidence Synthesis | Mathematical Models | Decision Analysis | Policy/Regulation | 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.…
Health Outcomes | North America | Health Systems | Preferences/Values | Mathematical Models | Cost-Effectiveness Analysis | Technology Assessment | Health/Medicine | Science/Technology | Europe -
BookPublication 2016Cost-Effectiveness Analysis in Health: A Practical Approach, 3rd Edition
Cost-Effectiveness Analysis in Health provides an introduction to the tools, methods, and procedures used to perform cost-effectiveness research. …
Cost-Effectiveness Analysis in Health provides an introduction to the tools, methods, and procedures used to perform cost-effectiveness research. This third edition contains new discussion on meta-analysis and advanced modeling techniques, a worked example using visual modeling software TreeAge Pro, and updated recommendations from the U.S. Public Health Service's Panel on Cost-Effectiveness in Health and Medicine. The book provides process-specific instruction in a concise, structured format to highlight common methods and techniques for: 1) Developing a thoroughly fleshed-out research project; 2) Working…
Health Outcomes | North America | Health Systems | Preferences/Values | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Technology Assessment | Policy/Regulation | Economics/Finance | 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…
Health Outcomes | North America | Health Systems | Preferences/Values | Evidence Synthesis | Test Performance | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology -
ReportPublication 2015Improving Diagnosis in Health Care
Getting the right diagnosis is a key aspect of health care - it provides an …
Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. This report, Improving Diagnosis in Health Care, explains that diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients.…
Health Outcomes | North America | Health Systems | Probability/Bayes | Test Performance | Value of Information | Health/Medicine