Resources Repository
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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 -
ArticlePublication 2022Potential Distributional Health & Financial Benefits of Increased Tobacco Taxes in Ethiopia: Findings from a Modeling Study
This study evaluates the potential impacts of Ethiopia's tobacco tax increase in 2020, which raised …
This study evaluates the potential impacts of Ethiopia's tobacco tax increase in 2020, which raised cigarette prices by approximately 67%. Employing parameters such as price elasticity of demand and smoking prevalence, the analysis utilizes existing literature and secondary data to model the effects of the reform on various outcomes, focusing on life years, tax revenues, cigarette expenditures, and catastrophic health expenditures (CHE). Concentrating solely on male smokers due to low female smoking rates, the results…
Mathematical Models | Health/Medicine | Health Outcomes | Cost-Effectiveness Analysis | Policy/Regulation | Sub-Saharan Africa -
ArticlePublication 2022Child Health Inequity through Case Management of Under-Five Malaria in Nigeria: An ECEA
This study assesses the potential impact of subsidies covering the direct and indirect costs of …
This study assesses the potential impact of subsidies covering the direct and indirect costs of under-five malaria case management in Nigeria, utilizing an extended cost-effectiveness analysis (ECEA) and a decision tree model. Findings reveal that fully subsidizing medical, non-medical, and indirect costs could annually avert over 19,000 under-five deaths, 8,600 cases of catastrophic health expenditure (CHE), and US$187 million in out-of-pocket (OOP) spending. Per US$1 million invested, this translates to a significant reduction in under-five…
Mathematical Models | Health/Medicine | Health Outcomes | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Policy/Regulation | Sub-Saharan Africa -
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…
Mathematical Models | Health/Medicine | Decision Analysis | Health Systems | Government/Law | Global -
ArticlePublication 2021Cost-Effectiveness of Hypertension Treatment by Pharmacists in Black Barbershops
The Los Angeles Barbershop Blood Pressure Study (LABBPS) examined the effectiveness and cost of a …
The Los Angeles Barbershop Blood Pressure Study (LABBPS) examined the effectiveness and cost of a one-year pharmacist-led hypertension care intervention in Black-owned barbershops in Los Angeles County, focused on non-Hispanic Black men with uncontrolled hypertension. Using a discrete event simulation, the researchers projected the 10-year health outcomes and health care costs associated with the intervention compared to a control group. The costs and quality-adjusted life-years (QALYs) were calculated from a health care sector perspective, with…
Mathematical Models | Health/Medicine | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | North America -
ArticlePublication 2021COVID and the Age–VSL Relationship
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions …
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions in analyses of lockdowns and other policies. Many rely on a population-average estimate of the value per statistical life (VSL); others adjust VSL for life expectancy at the age of death. The article explores the implications of theory and empirical studies, which suggest that the relationship between age and VSL is uncertain; these uncertainties in turn may affect whether the…
Benefit-Cost Analysis | Health/Medicine | Preferences/Values | Infectious Diseases | Government/Law | North America