Resources Repository
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ArticlePublication 2023Cost-Effectiveness of Novel TB Vaccines: A Modeling Study
A modeling study assessed future costs, cost-savings, and cost-effectiveness of introducing novel tuberculosis (TB) vaccines …
A modeling study assessed future costs, cost-savings, and cost-effectiveness of introducing novel tuberculosis (TB) vaccines in 105 low- and middle-income countries (LMICs) for a range of product characteristics and delivery strategies, compared to a ‘no-new-vaccine’ counterfactual. Vaccine scenarios considered two vaccine product profiles (one targeted at infants, one at adolescents/adults), both assumed to prevent progression to active TB. Vaccine introduction was estimated to require substantial near-term resources, offset by future cost-savings from averted TB burden.…
Mathematical Models | Health/Medicine | Cost-Effectiveness Analysis | Infectious Diseases | Economics/Finance | Global -
ArticlePublication 2022Comparative Health Systems Analysis of Differences in Catastrophic Health Expenditure
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications …
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications for health system performance in the area of financial risk protection, as measured by catastrophic health expenditure (CHE). This article compares non-communicable diseases catastrophic health expenditure to the CHE cases caused by communicable diseases across health systems to examine whether: (1) disease burden and catastrophic health expenditure are linked, (2) Catastrophic health expenditures secondary to NCDs disproportionately affect wealthier households and (3) whether the drivers…
Costing Methods | Health/Medicine | Evidence Synthesis | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Economics/Finance | Global -
ArticlePublication 2020Data-Driven Management of Post-Transplant Medications
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their …
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their risk of organ rejection. However, because of the diabetogenic effect of these drugs, this practice exposes them to a greater risk of new-onset diabetes after transplantation (NODAT), and hence, becoming insulin dependent. This study develops effective medication management strategies to address the common conundrum of balancing the risk of organ rejection versus that of NODAT. The article presents a robust…
Mathematical Models | Health/Medicine | Operations Research | Chronic Disease/Risk | North America -
ArticlePublication 2022Vaccinations versus Lockdowns to Prevent COVID-19 Mortality
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly …
This analysis estimated the costs associated with preventing Covid-19 deaths by vaccinations versus lockdowns. Publicly available datasets from the Israeli Ministry of Health were used to model the parameters of the pandemic in Israel. The Oxford COVID-19 Government Response Tracker was used for quantitative data on government policies. Data on the Israeli economy were taken from the Central Bureau of Statistics. The models demonstrate that the first lockdown prevented 1022 COVID-19 deaths at the cost…
Costing Methods | Health/Medicine | Decision Theory | Health Outcomes | State-Transition | Decision Analysis | Infectious Diseases | Policy/Regulation | Economics/Finance | Government/Law | Middle East & North Africa -
ArticlePublication 2022Spatial-Mechanistic Model to Estimate Sub-National Tuberculosis Burden in Brazilian Municipalities
Reliable subnational estimates of TB incidence are needed to focus disease control resources in areas …
Reliable subnational estimates of TB incidence are needed to focus disease control resources in areas of highest need. This study developed an approach for generating small area estimates of TB incidence, and the fraction of individuals missed by routine case detection, based on available notification and mortality data. The approach is demonstrated by estimating TB outcomes for 5568 municipalities in Brazil, revealing substantial subnational differences in disease burden and other metrics useful for designing high-impact…
Mathematical Models | Health/Medicine | Health Outcomes | Infectious Diseases | Latin America & Caribbean -
ArticlePublication 2014Step-by-Step Guideline for Disease-Specific Costing Studies in LMIC
Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information …
Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information for efficient resource allocation. This paper provides a step-by-step guideline for conducting disease-specific costing studies in LMICs where data availability is limited and illustrates how the guideline was applied in a costing study of cardiovascular disease prevention care in rural Nigeria. The step-by-step guideline provides practical recommendations on methods and data requirements for six sequential steps: 1) definition of the study…
Costing Methods | Health/Medicine | Chronic Disease/Risk | Health Systems | Sub-Saharan Africa -
ArticlePublication 2022Healthcare Cost of Overweight & Obesity in South Africa
This analysis estimates the healthcare cost associated with treatment of weight-related conditions from the perspective …
This analysis estimates the healthcare cost associated with treatment of weight-related conditions from the perspective of the South African public sector payer. The authors report that the total cost of overweight and obesity is estimated to be ZAR33,194 million in 2020, representing approximately 15% of government health expenditure and equivalent to 0.67% of GDP. This analysis is an example of a bottom-up gross costing approach. The study draws South African data from multiple sources to estimate…
Costing Methods | Health/Medicine | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Sub-Saharan Africa -
ArticlePublication 2022Cost-Effectiveness & Value-of-Information Analysis Using Machine Learning-Based Metamodeling: A Case of Hepatitis C Treatment
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes …
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes of a complex simulation model of hepatitis C virus (HCV) natural history. Three ML-based metamodels (random forest, support vector regression, and artificial neural networks) and a linear regression-based metamodel were developed from the simulation model's 40 input parameters. Performance evaluation included root mean squared error (RMSE) and Pearson's R2 on normalized data. ML-based metamodels generally outperformed linear regression, with random…
Mathematical Models | Health/Medicine | Infectious Diseases | Chronic Disease/Risk -
ArticlePublication 2022Hospitalization Costs for COVID-19 in Ethiopia: Empirical Data and Analysis from Addis Ababa's Largest Dedicated Treatment Center
This study examines the comprehensive costs of hospitalization for COVID-19 disease at Ekka Kotebe COVID-19 …
This study examines the comprehensive costs of hospitalization for COVID-19 disease at Ekka Kotebe COVID-19 treatment center in Addis Ababa, Ethiopia, the largest dedicated hospital for COVID-19 patient care in the country. Through retrospective collection and analysis of clinical and cost data from March to November 2020, including personnel time, drugs, medical supplies, and facility utilities, the study estimates the cost per treated COVID-19 episode stratified by disease severity. Over the study period, 2,543 COVID-19…
Costing Methods | Health/Medicine | Infectious Diseases | Sub-Saharan Africa