Resources Repository
-
ArticlePublication 2008Health and Economic Impact of HPV 16 and 18 Vaccination and Cervical Cancer Screening in India
As cervical cancer is a leading cause of cancer death among women in low-income countries, …
As cervical cancer is a leading cause of cancer death among women in low-income countries, with approximately 25% of cases worldwide occurring in India, these authors estimated the potential health and economic impact of different cervical cancer prevention strategies in India. After empirically calibrating a cervical cancer model to country-specific epidemiologic data, they projected cancer incidence, life expectancy, and lifetime costs (I$2005), and calculated incremental cost-effectiveness ratios (I$/YLS) for the following strategies: pre-adolescent vaccination of…
Microsimulation | Calibration/Validation | Science/Technology | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Clinical Care | Economics/Finance | Health/Medicine | Asia & Pacific -
ArticlePublication 2007Modeling HPV and Cervical Cancer in the U.S. for Analyses of Screening and Vaccination
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty …
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty about the natural history of disease that was used to provide quantitative insight into U.S. policy choices for cervical cancer prevention. The authors developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted…
Microsimulation | Calibration/Validation | Science/Technology | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Health/Medicine | North America -
ReportPublication 2003ISPOR Task Force Report: Good Practice for Decision Analytic Modeling in Health-Care
This report describes the consensus of a task force convened to provide modelers with guidelines …
This report describes the consensus of a task force convened to provide modelers with guidelines for conducting and reporting modeling studies. While published more than a decade ago, it remains a clearly written resource for thinking about how to accurately describe the components of models and their quality. Criteria for assessing the quality of models fell into three areas: model structure, data used as inputs to models, and model validation. Several major themes cut across…
Mathematical Models | Calibration/Validation | Science/Technology | Health/Medicine | Global -
Resource PackPublication, Teaching Resource 2023Resource Pack: Diagnostic Tests, Bayes, and COVID-19
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing …
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing for COVID-19. The pack provides materials that will be particularly useful for educators who are teaching diagnostic test performance, value of information, and probability revision using Bayes’ theorem. The majority of papers focus on PCR or rapid antigen testing on samples obtained from the respiratory tract by nasopharyngeal swab. The mechanism of false negative results (e.g., timing of sample collection…
Value of Information | Science/Technology | Probability/Bayes | Test Performance | Decision Analysis | Health/Medicine | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
ArticlePublication 2022Estimated Transmission Outcomes and Costs of SARS-CoV-2 Diagnostic Testing, Screening, and Surveillance Strategies Among a Simulated Population of Primary School Students
In the wake of the COVID-19 pandemic's significant educational disruptions, the U.S. government allocated $10 …
In the wake of the COVID-19 pandemic's significant educational disruptions, the U.S. government allocated $10 billion in March 2021 for testing in schools. The study aimed to analyze the costs and benefits of different COVID-19 testing strategies, particularly focusing on full-time, in-person elementary and middle school education. Utilizing an updated agent-based network model, the study simulated transmission scenarios in schools, considering various testing strategies ranging from diagnostic testing (test-to-stay) to reduce symptom-based isolations, routine screening…
Mathematical Models | Science/Technology | Test Performance | Cost-Effectiveness Analysis | Infectious Diseases | Clinical Care | Health/Medicine | North America -
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 | Science/Technology | Test Performance | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Health/Medicine | North America -
ArticlePublication 2022Economic Value of Clinical Artificial Intelligence
Artificial intelligence (AI) is increasingly used in clinical applications. Nevertheless, its flexibility and difficulties around …
Artificial intelligence (AI) is increasingly used in clinical applications. Nevertheless, its flexibility and difficulties around collecting data on its clinical impacts make value assessment challenging. This article uses a value framework as the basis for assessing how AI may create value depending on how it is used. Authors also provide advice to health economists seeking to model AI’s clinical impacts. There are multiple ways that AI challenges traditional health technology assessment methodology. Authors highlight several…
Value of Information | Science/Technology | Technology Assessment | Economics/Finance | Global -
ArticlePublication 2021Individual and Social Determinants of COVID-19 Vaccine Uptake
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using …
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using national survey data collected before vaccines were available in the U.S. Of note, individuals under the federal poverty level and racial and ethnic minorities were oversampled. Outcomes included the likelihood of vaccinating self and dependents (e.g., children). Independent variables included perceptions of risk, exposure to different media for COVID-19 news, political party identification, confidence in scientists and social determinants of…
Health Outcomes | Science/Technology | Evidence Synthesis | Infectious Diseases | Social Determinants | Policy/Regulation | Clinical Care | Culture/Society | Health/Medicine | North America -
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…
Health Outcomes | Science/Technology | Decision Psychology | Preferences/Values | Evidence Synthesis | Infectious Diseases | Social Determinants | Culture/Society | Health/Medicine | North America