Resources Repository
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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…
Evidence Synthesis | Health Outcomes | North America | Decision Psychology | Preferences/Values | Infectious Diseases | Social Determinants | Culture/Society | Health/Medicine | Science/Technology -
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…
Evidence Synthesis | Health Outcomes | North America | Priority Setting/Ethics | Microsimulation | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Health/Medicine -
DataWeb Portal 2024Medical Expenditure Panel Survey (MEPS)
The Medical Expenditure Panel Survey (MEPS) is the only national data source in the U.S. measuring …
The Medical Expenditure Panel Survey (MEPS) is the only national data source in the U.S. measuring how Americans use and pay for medical care, health insurance, and out-of-pocket spending. Annual surveys of individuals and families, as well as their health care providers, provide data on health status, the use of medical services, charges, insurance coverage, and satisfaction with care. The Agency for Healthcare Research and Quality (AHRQ) provides a range of data resources in the form…
Costing Methods | Health Outcomes | North America | Cost-Effectiveness Analysis | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine -
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…
Costing Methods | Health Outcomes | North America | Preferences/Values | Priority Setting/Ethics | Mathematical Models | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | Global | Europe -
ArticlePublication 2016Redrawing the U.S. Obesity Landscape: State-Specific Adult Obesity Prevalence
State-level estimates from the Centers for Disease Control and Prevention (CDC) underestimate the obesity epidemic …
State-level estimates from the Centers for Disease Control and Prevention (CDC) underestimate the obesity epidemic because they use self-reported height and weight. This study described a novel bias-correction method and produced corrected state-level estimates of obesity and severe obesity. Using non-parametric statistical matching, the authors adjusted self-reported data from the Behavioral Risk Factor Surveillance System (BRFSS) 2013 (n = 386,795) using measured data from the National Health and Nutrition Examination Survey (NHANES) (n = 16,924).…
Evidence Synthesis | Health Outcomes | North America | Child/Nutrition | 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…
Evidence Synthesis | Health Outcomes | North America | Preferences/Values | Test Performance | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Evidence Synthesis | Costing Methods | North America | Mathematical Models | Microsimulation | Calibration/Validation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine -
ArticlePublication 2021Racial and Ethnic Inequities in the Early Distribution of U.S. COVID-19 Testing Sites and Mortality
In 2020, U.S. COVID-19 testing sites were pivotal not just for diagnosis but also to …
In 2020, U.S. COVID-19 testing sites were pivotal not just for diagnosis but also to provide data that would contribute to understanding transmission. This research explored how these sites were distributed in relation to racial and ethnic demographics and its connection to observed disparities in COVID-19 outcomes. Data from mid-April to late May 2020 revealed that testing sites were not equally distributed among racial groups. Specifically, there was an overrepresentation of testing sites in areas…
Health Outcomes | North America | Test Performance | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Health/Medicine | Science/Technology -
ArticlePublication 2019Estimation of Eating Disorders Prevalence by Age and Associations with Mortality in a Simulated Nationally Representative U.S. Cohort
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, …
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, and estimates the association of increased treatment coverage with ED-related mortality. Using an individual-level Markov state transition model calibrated to nationally-representative US survey data from 2007 and 2011, the authors simulated a virtual cohort of 100,000 individuals (50% male) from birth to age 40 years and modelled 4 ED diagnoses: anorexia nervosa, bulimia nervosa, binge eating disorder, and other specified…
Health Outcomes | North America | Microsimulation | Calibration/Validation | Child/Nutrition | Mental Health