Resources Repository
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ArticlePublication 2016Challenges of Prioritization
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and …
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and diagnostics; in addition, the evidence base drawn on for evaluating such interventions is relatively good, given the medical research industry surrounding their testing. However, with increasing success in controlling infectious diseases, many of the health challenges facing countries concern broad threats to health with multiple causes, such as obesity, where the relationship between policy action and health benefit is not…
Benefit-Cost Analysis | Health/Medicine | Health Systems | Mental Health | Priority Setting/Ethics | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Global -
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…
Calibration/Validation | Health/Medicine | Health Systems | Health Outcomes | Mathematical Models | Microsimulation | Maternal/Reproductive Health | Clinical Care | Global -
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…
Calibration/Validation | Health/Medicine | Health Systems | Health Outcomes | Evidence Synthesis | Microsimulation | Maternal/Reproductive Health | Clinical Care | Global -
ArticlePublication 2018Resource Allocation in Decision Support Frameworks
Multi-criteria decision-making frameworks expand on typical decision analyses (cost-effectiveness and cost-benefit) by explicitly incorporating value …
Multi-criteria decision-making frameworks expand on typical decision analyses (cost-effectiveness and cost-benefit) by explicitly incorporating value tradeoffs from decision makers and summarizing the performance of investment options. This is done across all chosen dimensions of value, based on the weights provided by the decision makers, but comes at a cost. Currently there is no widely accepted method to suggest how to determine a budget constraint using multi-attribute models or to measure willingness to pay for incremental…
Benefit-Cost Analysis | Health/Medicine | Health Systems | Priority Setting/Ethics | Cost-Effectiveness Analysis | Global -
ArticlePublication 2016Economic Evaluation: Bibliometric Analysis of Recent Literature
This bibliometric analysis focuses on recently published full economic evaluations of health interventions and reflects …
This bibliometric analysis focuses on recently published full economic evaluations of health interventions and reflects critically on the implications of the findings. The authors created a database drawing on 14 health, economic, and/or general literature databases for articles published between 1 January 2012 and 3 May 2014 and identified 2844 economic evaluations. They examined the distribution of publications between countries, regions, and health areas studied and compared the relative volume of research with disease burden.…
Benefit-Cost Analysis | Health/Medicine | Health Systems | Priority Setting/Ethics | Cost-Effectiveness Analysis | Economics/Finance | Science/Technology | Global -
ArticlePublication 2017Likelihood Approach for Calibration of Stochastic Epidemic Models
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens …
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. This paper describes a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method applies a linear noise approximation to describe the size of the fluctuations, and…
Calibration/Validation | Health/Medicine | Health Systems | Dynamic Transmission | Dynamic Simulation | Infectious Diseases | Global -
ArticlePublication 2016Estimating Benefits of Regulations Affecting Addictive Goods
The question of how to evaluate lost consumer surplus in benefit−cost analyses is controversial. There …
The question of how to evaluate lost consumer surplus in benefit−cost analyses is controversial. There are clear health benefits of regulations that curb consumption of goods with health risks, such as tobacco products and foods high in fats, calories, sugar, and sodium. Yet, if regulations cause consumers to give up goods they like, the health benefits they experience may be offset by some utility loss, which benefit−cost analyses of regulations need to take into account.…
Benefit-Cost Analysis | Health/Medicine | Mental Health | Decision Theory | Preferences/Values -
ReviewPublication 2016Using Economic Evidence to Set Healthcare Priorities in LMIC
Policy makers in low-income and lower-middle-income countries (LMICs) are increasingly looking to develop ‘evidence-based’ frameworks …
Policy makers in low-income and lower-middle-income countries (LMICs) are increasingly looking to develop ‘evidence-based’ frameworks for identifying priority health interventions. This paper synthesizes and appraises the literature on methodological frameworks – which incorporate economic evaluation evidence – for the purpose of setting healthcare priorities in LMICs. A systematic search of Embase, MEDLINE, Econlit and PubMed identified 3968 articles with a further 21 articles identified through manual searching. A total of 36 papers were eligible for inclusion.…
Benefit-Cost Analysis | Health/Medicine | Health Systems | Priority Setting/Ethics | Cost-Effectiveness Analysis | Technology Assessment | Policy/Regulation | Economics/Finance | Government/Law | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
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…
Calibration/Validation | Health/Medicine | Health Systems | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Clinical Care | Science/Technology | North America