Resources Repository
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ArticlePublication 2022Estimating Joint Health State Utilities
Estimating health utility for a health state defined by a single health condition is relatively …
Estimating health utility for a health state defined by a single health condition is relatively straightforward but becomes more complicated when 2 or more health conditions co-occur. Estimating health utility for so-called “joint health states” is particularly critical for health conditions that commonly co-occur with other conditions or for treatments in which adverse events are common or serious. In these cases, ignoring the utility loss associated with the joint health state can bias CEA results…
Preferences/Values | Cost-Effectiveness Analysis -
ArticlePublication 2022Health Utility of Drinkers' Family Members
Problematic alcohol use is known to harm individuals surrounding the drinker. This study described the …
Problematic alcohol use is known to harm individuals surrounding the drinker. This study described the health utility of people who reported having a family member(s) whom they perceived as a “problem drinker.” Using a US population dataset, and adjusting for other drinking-related factors, perceiving a family member as a problem drinker was associated with lower health utility on the order of 0.033 (P < 0.001) for a spouse/partner to 0.023 (P < 0.001) for a…
Preferences/Values | Cost-Effectiveness Analysis | Chronic Disease/Risk | North America -
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.…
Microsimulation | Health Outcomes | Child/Nutrition | Chronic Disease/Risk | Health Systems | Global -
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…
Microsimulation | Priority Setting/Ethics | Health Outcomes | Child/Nutrition | Chronic Disease/Risk | Clinical Care | Global -
ArticlePublication 2019Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories …
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories of body-mass index (BMI) in the United States. Self-reported BMI from the Behavioral Risk Factor Surveillance System Survey (1993-1994 and 1999-2016) were obtained and corrected for quantile-specific self-reporting bias. Multinomial regressions were then fitted for each state and subgroup to estimate the prevalence of four BMI categories from 1990 through 2030: underweight or normal weight (BMI <25), overweight (25 to…
Calibration/Validation | Health Outcomes | Mathematical Models | Chronic Disease/Risk | Social Determinants | North America -
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…
Microsimulation | Priority Setting/Ethics | Health Outcomes | Chronic Disease/Risk | Health Systems | Global -
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…
Microsimulation | Priority Setting/Ethics | Health Outcomes | Benefit-Cost Analysis | Chronic Disease/Risk | Health Systems | Global -
ArticlePublication 2021BMI-Related Healthcare Costs in the U.S.
This paper estimates continuous body mass index (BMI) related health care expenditures using data from …
This paper estimates continuous body mass index (BMI) related health care expenditures using data from the Medical Expenditure Panel Survey (MEPS) 2011-2016, adjusting BMI for self-report bias and controlling for potential confounding between BMI and medical expenditures. Costs are reported in $US 2019. The analysis found a J-shaped curve of medical expenditures by BMI, with higher costs for females and the lowest expenditures occurring at a BMI of 20.5 for adult females and 23.5 for…
Costing Methods | Child/Nutrition | Chronic Disease/Risk | North America -
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 | Chronic Disease/Risk | Health Systems | Health/Medicine | Sub-Saharan Africa