Resources Repository
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ArticlePublication 2022Emerging Therapies for COVID-19: The Value of Information From More Clinical Trials
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face …
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face of uncertainty. This study aimed to quantify consequences of approving therapies or pursuing further research. The authors used a cohort state-transition model for hospitalized patients with COVID-19 to estimate quality-adjusted life-years (QALYs) and costs associated with multiple drug regimens and usual care. For each they assessed immediate approval, use only in research, emergency use authorization or reject. They conducted cost-effectiveness…
Europe | Value of Information | State-Transition | Benefit-Cost Analysis | Infectious Diseases | Policy/Regulation | Economics/Finance | North America -
ArticlePublication 2022WHO ACTION-I Trial in Low Resource Countries
This study evaluated the cost-effectiveness of dexamethasone administration in dexamethasone in pregnant women at risk …
This study evaluated the cost-effectiveness of dexamethasone administration in dexamethasone in pregnant women at risk of early preterm birth using data from a multicentre, randomized, placebo-controlled trial in Bangladesh, India, Kenya, Nigeria, and Pakistan. Primary cost data were collected in 28 hospitals across the 5 countries. A decision tree model was used to compare dexamethasone treatment to no intervention from a health-care sector perspective. Administration of dexamethasone averted 38 neonatal deaths per 1000 woman–baby units…
Global | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Child/Nutrition | Clinical Care | Sub-Saharan Africa | Asia & Pacific -
ArticlePublication 2019Estimating the Total Incidence of Global Childhood Cancer: A Simulation-Based Analysis
This study describes the development of a microsimulation model to simulate childhood cancer incidence for …
This study describes the development of a microsimulation model to simulate childhood cancer incidence for 200 countries/territories, taking into account trends in population growth and urbanicity, geographical variation in cancer incidence, and health system barriers to access and referral that contribute to underdiagnosis. The model was calibrated to publicly available cancer registry data, and the total incidence of childhood cancer (diagnosed and undiagnosed) was estimated for each country in 2015 and projections made to 2030.…
Global | Health Outcomes | Microsimulation | Child/Nutrition | Chronic Disease/Risk | Health Systems -
ArticlePublication 2019Global Childhood Cancer Survival Estimates and Priority-Setting: A Simulation-Based Analysis
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of …
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of multiple factors that affect cancer outcomes in children. The authors developed a microsimulation model to simulate childhood cancer survival for 200 countries/territories, accounting for clinical and epidemiologic factors, including country-specific treatment variables, such as availability of chemotherapy, radiation, and surgery, and calibrated the model to empirical data from the CONCORD-2 and CONCORD-3 studies using an Approximate Bayesian Computation approach. The…
Global | Priority Setting/Ethics | Health Outcomes | Microsimulation | Child/Nutrition | Chronic Disease/Risk | Clinical Care -
ArticlePublication 2020Role and Contribution of Treatment and Imaging Modalities in Global Cervical Cancer Management
Using a microsimulation model of global cancer survival, this analysis estimates the impact of scaling …
Using a microsimulation model of global cancer survival, this analysis estimates the impact of scaling up treatment and imaging modalities on cervical cancer survival in 200 countries/territories. The paper evaluates the potential survival effect of scaling up treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), and imaging modalities (ultrasound, x-ray, CT, MRI, PET, and single photon emission CT [SPECT]) to the mean level of high-income countries, both individually and in combination. The model estimates that global…
Global | Priority Setting/Ethics | Health Outcomes | Microsimulation | Chronic Disease/Risk | Health Systems -
ArticlePublication 2021Global Costs, Health Benefits, & Economic Benefits of Scaling Up Treatment and Imaging Modalities for Survival of 11 Cancers
This analysis estimated the costs and lifetime health and economic benefits of scaling up imaging …
This analysis estimated the costs and lifetime health and economic benefits of scaling up imaging and treatment modality packages on cancer survival in 200 countries/territories for patients diagnosed with one of 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate). Using a microsimulation model of global cancer survival, the paper evaluated the costs and health and economic benefits of scaling up packages of treatment (chemotherapy, surgery, radiotherapy, and targeted…
Global | Priority Setting/Ethics | Health Outcomes | Microsimulation | Benefit-Cost Analysis | Chronic Disease/Risk | Health Systems -
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…
Global | Mathematical Models | Decision Analysis | Health Systems | Government/Law | Health/Medicine -
ArticlePublication 2018Consequences of a Cigarette Price Increase in 13 Middle Income Countries
This study used extended cost-effectiveness analysis to examine the impact of a 50% increase in …
This study used extended cost-effectiveness analysis to examine the impact of a 50% increase in market prices of cigarettes on health, poverty, and financial protection for men in 13 middle income countries. A 50% increase in cigarette prices would lead to about 450 million years of life gained across the 13 countries from smoking cessation, with half of these in China. Across all countries, men in the bottom income group would gain 6.7 times more…
Global | Priority Setting/Ethics | Mathematical Models | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Health/Medicine -
ArticlePublication 2018Poverty Reduction & Equity Benefits of Measles, Rotavirus and Pneumococcal Vaccines in LMICs
This study uses the extended cost effectiveness analysis (ECEA) to evaluate the impact of immunization …
This study uses the extended cost effectiveness analysis (ECEA) to evaluate the impact of immunization against measles, severe pneumococcal disease and severe rotavirus for birth cohorts vaccinated over 2016–2030 for three scenarios in 41 Gavi-eligible countries: no immunization, current immunization coverage forecasts and the current immunization coverage enhanced with funding support. Following the distribution of the cases by socioeconomic group, the study found that the number of catastrophic health costs (CHC) cases attributable to measles,…
Global | Priority Setting/Ethics | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Health/Medicine