Resources Repository
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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…
State-Transition | North America | Global | Health Systems | Test Performance | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine -
ArticlePublication 2017Estimated Economic Impact of Vaccinations in 73 LMIC, 2001-2020
This analysis estimates the economic impact likely to be achieved by efforts to vaccinate against 10 …
This analysis estimates the economic impact likely to be achieved by efforts to vaccinate against 10 vaccine-preventable diseases between 2001 and 2020 in 73 low- and middle-income countries largely supported by Gavi, the Vaccine Alliance. The authors used health impact models to estimate the economic impact of achieving forecasted coverages for vaccination against Haemophilus influenzae type b, hepatitis B, human papillomavirus, Japanese encephalitis, measles, Neisseria meningitidis serogroup A, rotavirus, rubella, Streptococcus pneumoniae and yellow fever. In…
State-Transition | Asia & Pacific | Middle East & North Africa | Health Systems | Health Outcomes | Dynamic Transmission | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Latin America & Caribbean -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Decision Analysis | State-Transition | North America | Health Systems | Mathematical Models | Microsimulation | Dynamic Simulation | Chronic Disease/Risk | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine -
BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Decision Analysis | North America | Global | Health Systems | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Decision Analysis | Global | Health Systems | Mathematical Models | Government/Law | Health/Medicine -
ArticlePublication 2020Online Competition between Pro- and Anti-Vaccination Views
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, …
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks as happened for measles in 2019. Homemade remedies and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice. There is a lack of understanding about how this distrust evolves at the system level. Authors provide a map of the contention surrounding vaccines that has…
Decision Psychology | North America | Health Systems | Preferences/Values | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Government/Law | Health/Medicine | Science/Technology -
NewsPublication 2020Managing the COVID-19 Infodemic: Promoting Healthy Behaviors and Mitigating the Harm from Misinformation and Disinformation
The COVID-19 pandemic is the first in history in which technology and social media are …
The COVID-19 pandemic is the first in history in which technology and social media are being used on a massive scale to keep people safe, informed, productive, and connected. At the same time, the technology we rely on to keep connected and informed enables and amplifies an infodemic that continues to undermine the global response and jeopardizes measures to control the pandemic. This description was adapted from the joint statement.
Decision Psychology | Global | Health Systems | Preferences/Values | Infectious Diseases | Social Determinants | Global Governance | Culture/Society | Government/Law | Health/Medicine | Science/Technology -
ArticlePublication 2017Estimating the Fitness Cost and Benefit of Cefixime Resistance in Neisseria Gonorrhoeae
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more …
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more than half of annual infections occur in men who have sex with men (MSM). As the bacterium has developed resistance to each first-line antibiotic in turn, an improved understanding is needed of fitness benefits and costs of antibiotic resistance to inform control policy and planning. The authors developed a stochastic compartmental model representing the natural history and transmission of cefixime-sensitive…
Decision Analysis | Global | Health Systems | Dynamic Transmission | Risk Analysis | Infectious Diseases | Policy/Regulation | Government/Law | Health/Medicine | Science/Technology -
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.…
Decision Analysis | North America | Health Systems | Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Europe