Resources Repository
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ArticlePublication 2017Getting it Right When Budgets are Tight: Prioritizing Responses to HIV Epidemics
Prioritizing investments across health interventions is complicated by the nonlinear relationship between intervention coverage and …
Prioritizing investments across health interventions is complicated by the nonlinear relationship between intervention coverage and epidemiological outcomes. It can be difficult for countries to know which interventions to prioritize for greatest epidemiological impact, particularly when budgets are uncertain.The authors examined four case studies of HIV epidemics in diverse settings, each with different characteristics. These case studies were based on public data available for Belarus, Peru, Togo, and Myanmar. The Optima HIV model and software package…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Costing Methods | Mathematical Models | Infectious Diseases | Health Systems | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2017When Cost-Effective Interventions Are Unaffordable
Many health interventions deemed cost-effective are not affordable. Despite the importance of affordability to policymakers, …
Many health interventions deemed cost-effective are not affordable. Despite the importance of affordability to policymakers, little of the cost-effectiveness literature in global health addresses this issue. Budget impact analysis (BIA) describes an intervention's short-term costs and savings from the payer's perspective. This paper assesses the current use of budget impact analysis (BIA) and cost-effectiveness analysis (CEA) in health economic assessments conducted for low- and middle-income countries (LMICs). The authors recommend steps researchers and policymakers can…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Costing Methods | Infectious Diseases | Chronic Disease/Risk | Health Systems | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | Global -
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.…
Cost-Effectiveness Analysis | Decision Analysis | Preferences/Values | Health Outcomes | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine | North America | Europe -
ArticlePublication 2017Using Cost-Effectiveness Analysis to Address Health Equity Concerns
This article serves as a guide to using cost-effectiveness analysis (CEA) to address health equity …
This article serves as a guide to using cost-effectiveness analysis (CEA) to address health equity concerns. The authors introduce the "equity impact plane," a tool for considering trade-offs between improving total health-the objective underpinning conventional CEA-and equity objectives, such as reducing social inequality in health or prioritizing the severely ill. Improving total health may clash with reducing social inequality in health, for example, when effective delivery of services to disadvantaged communities requires additional costs. Who…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Preferences/Values | Health Systems | Policy/Regulation | Health/Medicine | Global -
ArticlePublication 2017Using Data-Driven Agent-Based Models to Forecast Emerging Infectious Diseases
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which …
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which was subsequently used in the Ebola forecasting challenge. Producing timely and reliable forecasts for an epidemic of an emerging infectious disease is a challenge. Epidemiologists and policy makers have to deal with poor data quality, limited understanding of the disease dynamics, a rapidly changing social environment and the uncertainty around the effects of various interventions in place. In this setting,…
Dynamic Simulation | Calibration/Validation | Microsimulation | Infectious Diseases | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2017Household Energy Interventions in Haryana, India: An Extended CEA
In this paper, the authors examine the use of solid fuels as a primary energy …
In this paper, the authors examine the use of solid fuels as a primary energy source for cooking in India, which contributes to high rates of infant and child mortality as well as other diseases caused by household air pollution (HAP). To achieve the widespread adoption of one of three interventions – a mud chimney stove, a blower stove, and LPG use—the government needs to offer subsidies to households using solid fuels. While the reduction…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment | Economics/Finance | Energy/Engineering | Science/Technology | Asia & Pacific -
ArticlePublication 2017Reduced Burden of Childhood Diarrheal Diseases through Increased Access to Water and Sanitation in India: Modeling Analysis
This analysis estimates the health and economic benefits of scaling up the coverage of piped …
This analysis estimates the health and economic benefits of scaling up the coverage of piped water and improved sanitation to a near-universal 95% level among Indian households. The authors used an agent-based microsimulation platform, IndiaSim, to model disease progression and individual healthcare-seeking behavior in India, and use ECEA to estimate health and economic outcomes over time. They found that scaling up access to piped water and improved sanitation could avert 43,352 diarrheal episodes and 68…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Costing Methods | Health Outcomes | Microsimulation | Child/Nutrition | Social Determinants | Environmental Health | Economics/Finance | Energy/Engineering | Health/Medicine | Science/Technology | Asia & Pacific -
ArticlePublication 2017Policy Makers, the International Community and the Population: Case Study on HIV/AIDS
A four-period game is developed between a policy maker, the international community, and the population. …
A four-period game is developed between a policy maker, the international community, and the population. This research supplements, through implementing strategic interaction, earlier research analyzing "one player at a time." The first two players distribute funds between preventing and treating diseases. The population reacts by degree of risky behavior which may cause no disease, disease contraction, recovery, sickness/death. More funds to prevention implies less disease contraction but higher death rate given disease contraction. The cost…
Priority Setting/Ethics | Decision Psychology | Mathematical Models | Infectious Diseases | Health Systems | Global Governance | Economics/Finance | Government/Law | Health/Medicine | 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…
Dynamic Simulation | Calibration/Validation | Dynamic Transmission | Infectious Diseases | Health Systems | Health/Medicine | Global