Resources Repository
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ArticlePublication 2010Alternative Strategies to Reduce Maternal Mortality in India: A Cost-Effectiveness Analysis
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy …
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy and childbirth safety in India. Country- and region-specific data were synthesized using a computer-based model that simulates the natural history of pregnancy and pregnancy-associated complications in individual women, and considers delivery location, attendant, and facility level. Model validation compared projected maternal indicators with empiric data. Strategies consisted of improving coverage of effective interventions that could be provided individually or packaged…
Microsimulation | Health/Medicine | Economics/Finance | Global | Evidence Synthesis | Mathematical Models | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Asia & Pacific -
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…
Microsimulation | Health/Medicine | Economics/Finance | Global | Test Performance | State-Transition | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | North America -
OrganizationWeb Portal 2024International Decision Support Initiative (iDSI)
The International Decision Support Initiative (iDSI) is a global network of health, policy and economic …
The International Decision Support Initiative (iDSI) is a global network of health, policy and economic expertise, working to achieve Universal Health Coverage and The Health Sustainable Development Goal (SDG 3). They are committed to robust evidence, analysis and decision-making that policymakers, funders and researchers can use to balance trade-offs between different policy options and model potential results to make the best choice available. They support countries to make better decisions about how much public money…
Technology Assessment | Health/Medicine | Economics/Finance | Global | Priority Setting/Ethics | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Government/Law -
OrganizationWeb Portal 2024One Health Trust
One Health Trust, formally the Center for Disease Dynamics, Economics & Policy (CDDEP), was founded …
One Health Trust, formally the Center for Disease Dynamics, Economics & Policy (CDDEP), was founded with the objective of using research to support better decision-making in health policy. One Health Trust researchers employ a range of expertise—including economics, epidemiology, disease modeling, risk analysis, and statistics—to conduct actionable, policy-oriented research on malaria, antibiotic resistance, disease control priorities, environmental health, alcohol and tobacco, and other global health priorities. One Health Trust projects are global in scope, spanning…
Technology Assessment | Health/Medicine | Economics/Finance | Global | Costing Methods | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment | Sub-Saharan Africa | Asia & Pacific -
OrganizationWeb Portal 2024MCDM
Founded in 1998 out of a special interest group on multi-criteria decision making, The International Society …
Founded in 1998 out of a special interest group on multi-criteria decision making, The International Society for Multi-Criteria Decision Making (MCDM) develops, tests, evaluates and applies methodologies for solving multiple criteria decision making problems. They foster interaction and research in the scientific field of multiple criteria decision making, and work with other organizations in the study of management from a quantitative perspective. Resources available from MCDM include conferences, lists of software used for multi-criteria decision making…
Technology Assessment | Health/Medicine | Economics/Finance | Global | Priority Setting/Ethics | Decision Analysis | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Business/Industry | Government/Law -
OrganizationWeb Portal 2024ISPOR
Founded in 1995 as an international multidisciplinary professional membership society, the International Society for Pharmacoeconomics …
Founded in 1995 as an international multidisciplinary professional membership society, the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) exists to advance the policy, science, and practice of pharmacoeconomics (health economics) and health outcomes research. ISPOR publishes Value in Health, which contains original research articles in the areas of economic evaluation, outcomes research, and conceptual, methodological, and health policy articles. Beyond health economics and outcomes research resources, tools of ISPOR include strategic initiatives, publications, and member…
Technology Assessment | Health/Medicine | Economics/Finance | Global | Preferences/Values | Priority Setting/Ethics | Costing Methods | Health Outcomes | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Operations Research | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Health Systems | Policy/Regulation | Business/Industry | Science/Technology -
ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Microsimulation | Health/Medicine | Global | Health Outcomes | Mathematical Models | Calibration/Validation | Maternal/Reproductive Health | Health Systems | Clinical Care -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Microsimulation | Health/Medicine | Global | Health Outcomes | Evidence Synthesis | Calibration/Validation | Maternal/Reproductive Health | Health Systems | Clinical Care -
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…
Technology Assessment | Economics/Finance | Global | Value of Information | Science/Technology