Resources Repository
-
ArticlePublication 2018Equity Impact Vaccines May Have on Averting Deaths and Medical Impoverishment
In this analysis, authors estimated the number of deaths averted and the number of cases …
In this analysis, authors estimated the number of deaths averted and the number of cases of medical impoverishment averted of ten antigens and their corresponding vaccines across income quintiles for forty-one low- and middle-income countries. The study found that vaccines administered between 2016 and 2030 would prevent 36 million deaths. Vaccines will have the greatest impact on reducing cases of poverty caused by hepatitis B, helping an estimated 14 million people avoid medical impoverishment. An…
Priority Setting/Ethics | Costing Methods | Science/Technology | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Global Governance | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Middle East & North Africa | 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 | Costing Methods | Science/Technology | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Economics/Finance | Government/Law | Health/Medicine | Global -
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 | Costing Methods | Science/Technology | Health Outcomes | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Social Determinants | Environmental Health | Economics/Finance | Energy/Engineering | Health/Medicine | Asia & Pacific -
ArticlePublication 2016Rotavirus Vaccines Contribute Towards UHC in A Mixed Public–Private Healthcare System
This extended cost-effectiveness analysis (ECEA) evaluates the non-health benefits of rotavirus vaccination in Malaysia from …
This extended cost-effectiveness analysis (ECEA) evaluates the non-health benefits of rotavirus vaccination in Malaysia from the household’s perspective. The authors found that rotavirus vaccination reduces rotavirus episodes and expenditure substantially and provides financial risk protection to all income groups. Although the rich are paying more out of pocket than the poor by utilizing more expensive healthcare, the poor are paying more in proportion to household income. Poverty reduction benefits are concentrated amongst the poorest two…
Priority Setting/Ethics | Costing Methods | Science/Technology | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Social Determinants | Health Systems | Economics/Finance | Health/Medicine | 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…
Evidence Synthesis | Calibration/Validation | Science/Technology | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | North America -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Evidence Synthesis | Test Performance | Science/Technology | Preferences/Values | Health Outcomes | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | North America -
ArticlePublication 2008Mathematical Models of Cervical Cancer Prevention in Latin America and the Caribbean
This article reports on a model-based approach estimated averted cervical cancer cases and deaths, disability-adjusted …
This article reports on a model-based approach estimated averted cervical cancer cases and deaths, disability-adjusted life years (DALYs) and incremental cost-effectiveness ratios (I$/DALY averted) for human papillomavirus (HPV) vaccination of young adolescent girls using population and epidemiologic data for 33 countries in Latin America and the Caribbean (LAC). The authors found that an absolute reduction in lifetime cancer risk varied between countries, depending on incidence, proportion attributable to HPV-16 and 18, and population age-structure; for…
Calibration/Validation | Costing Methods | Science/Technology | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Latin America & Caribbean -
ArticlePublication 2023Performance of Rapid Antigen Tests to Detect Symptomatic and Asymptomatic SARS-CoV-2 Infection
The objective of this study was to evaluate the performance of rapid antigen tests (Ag-RDTs) …
The objective of this study was to evaluate the performance of rapid antigen tests (Ag-RDTs) for detection of SARS-CoV-2 among symptomatic and asymptomatic participants. The general findings were that the performance of Ag-RDTs was optimized when asymptomatic participants tested 3 times at 48-hour intervals and when symptomatic participants tested 2 times separated by 48 hours. Participants completed Ag-RDTs and reverse transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2 every 48 hours for 15 days. They…
Test Performance | Science/Technology | Infectious Diseases | Clinical Care | Health/Medicine | North America -
ArticlePublication 2020Variation in False-Negative Rate of Reverse Transcriptase Polymerase Chain Reaction-Based SARS-CoV-2 Tests by Time Since Exposure
This study aimed to determine the false-negative rate of RT-PCR tests for SARS-CoV-2 infection based …
This study aimed to determine the false-negative rate of RT-PCR tests for SARS-CoV-2 infection based on the timeline of exposure and symptom onset. Drawing from data in seven studies involving 1,330 upper respiratory tract samples, a Bayesian model was used to estimate these rates. Findings showed that in the initial four days prior to typical symptom onset, the false-negative rate decreased from 100% on day 1 to 67% on day 4. By the day of…
Test Performance | Science/Technology | Infectious Diseases | Clinical Care | Health/Medicine | North America