Resources Repository
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GuidelinesPublication 2012Modeling Good Research Practices - Overview: A Report of the ISPOR-SMDM Modeling Task Force-1
This paper provides an overview of the work of the joint Task Force between the …
This paper provides an overview of the work of the joint Task Force between the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Society for Medical Decision Making (SMDM), provides the overarching recommendations, and discusses future work that is needed. The audience for these papers includes anyone who build models, stakeholders who utilize their results, and those concerned with the use of models to support decision making. This article is part 1 of…
Calibration/Validation | State-Transition | Value of Information | Infectious Diseases | Costing Methods | Health Outcomes | Mathematical Models | Dynamic Transmission | Microsimulation | Dynamic Simulation | Decision Analysis | 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…
Probability/Bayes | State-Transition | Value of Information | Infectious Diseases | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2022Emerging Therapies for COVID-19: The Value of Information From More Clinical Trials
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face …
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face of uncertainty. This study aimed to quantify consequences of approving therapies or pursuing further research. The authors used a cohort state-transition model for hospitalized patients with COVID-19 to estimate quality-adjusted life-years (QALYs) and costs associated with multiple drug regimens and usual care. For each they assessed immediate approval, use only in research, emergency use authorization or reject. They conducted cost-effectiveness…
State-Transition | Value of Information | Infectious Diseases | Benefit-Cost Analysis | Policy/Regulation | Economics/Finance | North America | Europe -
Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Cervical Cancer Models
This resource pack, curated by the Center for Health Decision Science, is a collection of …
This resource pack, curated by the Center for Health Decision Science, is a collection of models of HPV-related cervical cancer, differing in design, structure and features based on analytic objectives. In many ways, HPV and its related diseases represent a prototypical public health problem given the communicable and non-communicable nature of disease, opportunities for intervention along the entire disease spectrum (e.g., primary and secondary prevention, diagnosis, treatment), the varied ages at which interventions are targeted…
Calibration/Validation | State-Transition | Infectious Diseases | Mathematical Models | Dynamic Transmission | Microsimulation | Dynamic Simulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | Science/Technology | Global -
OrganizationWeb Portal 2024Institute for Clinical and Economic Review (ICER)
ICER is a non-profit organization that evaluates evidence on a range of topics including the value …
ICER is a non-profit organization that evaluates evidence on a range of topics including the value of medical tests, treatments and delivery system innovations and moves that evidence into action to improve the health care system. To accomplish this goal ICER performs analyses on effectiveness and costs, supports specific programs, and develops reports using innovative methods that make it easier to translate evidence into decisions that can align efforts to use evidence to drive improvements in both…
Evidence Synthesis | Value of Information | Infectious Diseases | Preferences/Values | Priority Setting/Ethics | Cost-Effectiveness Analysis | Technology Assessment | Chronic Disease/Risk | Mental Health | Health Systems | Business/Industry | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | North America | Europe -
ArticlePublication 2010Model Uncertainty in Economic Evaluation of Health Interventions: Rotavirus Vaccination in Vietnam
Motivated by observed discrepancies between 2 published studies on the cost-effectiveness of rotavirus vaccination in …
Motivated by observed discrepancies between 2 published studies on the cost-effectiveness of rotavirus vaccination in Vietnam, the authors' objectives were to illustrate a specific, systematic approach to assessing model (structure and process) uncertainty and to quantify explicitly the contributions of different sources of variation in the outputs of different studies that share the same research question. On the basis of a series of working definitions of key model elements, the authors developed 5 alternative computer…
Calibration/Validation | State-Transition | Infectious Diseases | Mathematical Models | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Asia & Pacific -
ReviewPublication 2008Modeling Cervical Cancer Prevention in Developed Countries
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in …
Decision-analytic models are increasingly developed to simulate disease burden and interventions in different settings in order to evaluate the benefits and cost-effectiveness of primary and secondary interventions. This article is a review of mathematical models that have been used to evaluate HPV vaccination in the context of developed countries with existing screening programs. Despite variations in model assumptions and uncertainty in existing data, pre-adolescent vaccination of females in the setting of current screening practices has…
Calibration/Validation | State-Transition | Infectious Diseases | Mathematical Models | Dynamic Transmission | Microsimulation | Chronic Disease/Risk | Health/Medicine | Science/Technology -
ArticlePublication 2008Mathematical Models of Cervical Cancer Prevention in Latin America and the Caribbean
This article reports on a model-based approach estimated averted cervical cancer cases and deaths, disability-adjusted …
This article reports on a model-based approach estimated averted cervical cancer cases and deaths, disability-adjusted life years (DALYs) and incremental cost-effectiveness ratios (I$/DALY averted) for human papillomavirus (HPV) vaccination of young adolescent girls using population and epidemiologic data for 33 countries in Latin America and the Caribbean (LAC). The authors found that an absolute reduction in lifetime cancer risk varied between countries, depending on incidence, proportion attributable to HPV-16 and 18, and population age-structure; for…
Calibration/Validation | State-Transition | Infectious Diseases | Costing Methods | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology | Latin America & Caribbean -
ArticlePublication 2002Empirically Calibrated Model of Hepatitis C Virus Infection in the United States
This article presents an epidemiologic model of hepatitis C in the United States. The authors …
This article presents an epidemiologic model of hepatitis C in the United States. The authors used empirical calibration of model parameters to gain insights into uncertainty in the natural history of hepatitis C and to improve future projections. The authors identified model inputs by way of a systematic review. Model simulations were conducted and model predictions were compared with epidemiologic data on infection prevalence and mortality from liver cancer. Goodness-of-fit criteria were used to identify…
Calibration/Validation | State-Transition | Infectious Diseases | Mathematical Models | Chronic Disease/Risk | Health/Medicine | North America