Resources Repository
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Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Maternal Health Models and CEA
This resource pack, curated by the Center for Health Decision Science, provides selected examples of …
This resource pack, curated by the Center for Health Decision Science, provides selected examples of modeling approaches used to conduct analyses relevant to maternal and reproductive health. Some papers focus on a particular problem (e.g., screening for prenatal syphilis, comparison of alternative strategies for safe abortion), while others explore strategies for reducing morbidity and mortality from the entire spectrum of pregnancy and childbirth-related complications. Several of the examples model the primary drivers of maternal mortality (e.g.,…
Evidence Synthesis | Calibration/Validation | Sub-Saharan Africa | Costing Methods | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Clinical Care | Health/Medicine | Science/Technology | Global | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Mental Health and Modeling
This resource pack, curated by the Center for Health Decision Science, features resources on modeling …
This resource pack, curated by the Center for Health Decision Science, features resources on modeling approaches applied to mental health. We aim to provide an overview of different techniques to guide researchers and practitioners in applying decision science and economic modeling to this public health challenge. More specifically, this resource pack contains review articles comparing different modeling techniques in the evaluation of treatments for depression, bipolar disorder and schizophrenia. The majority of articles in this…
Evidence Synthesis | State-Transition | North America | Costing Methods | Health Outcomes | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Health/Medicine | Europe -
ArticlePublication 2017Cost-Effectiveness of Testing and Treatment for Latent TB
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve …
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve TB elimination in the United States. This analysis estimated health outcomes, costs, and cost-effectiveness of LTBI testing and treatment among non-US born residents with and without medical comorbidities (e.g., diabetes, HIV infection, and end-stage renal disease). A decision analytic tree and Markov cohort simulation model was used to compare the following strategies: no testing, tuberculin skin test (TST), interferon gamma release assay…
Test Performance | State-Transition | North America | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine | Global -
DataWeb Portal 2024Healthcare Cost and Utilization Project (HCUP)
The Healthcare Cost and Utilization Project (HCUP) is the most comprehensive source of hospital data in …
The Healthcare Cost and Utilization Project (HCUP) is the most comprehensive source of hospital data in the United States, including information on in-patient care, ambulatory care, and emergency department visits. HCUP enables researchers, insurers, policymakers and others to study health care delivery and patient outcomes over time, and at the national, regional, State, and community levels. The Agency for Healthcare Research and Quality (AHRQ) provides a range of data resources in the form of online, searchable…
Evidence Synthesis | Test Performance | North America | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Science/Technology -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Evidence Synthesis | Calibration/Validation | North America | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology -
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 | Test Performance | North America | Preferences/Values | Health Outcomes | 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 | Calibration/Validation | North America | Costing Methods | Mathematical Models | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine -
BookPublication 2013Medical Decision Making
This new edition of Medical Decision Making provides a review of the key decision making infrastructure …
This new edition of Medical Decision Making provides a review of the key decision making infrastructure of clinical practice and explains the principles of medical decision making both for individual patients and the wider health care arena. Targeted to clinicians interested in medical decision making, it demonstrates how to make the best clinical decisions based on the available evidence and how to use clinical guidelines and decision support systems in electronic medical records to shape practice…
Test Performance | State-Transition | North America | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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 | North America | Mathematical Models | Infectious Diseases | Chronic Disease/Risk | Health/Medicine