Resources Repository
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ArticlePublication 2023Cost-Effectiveness of Pharmacist Prescribing for Managing Hypertension
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control …
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control in the US. A cost-effectiveness analysis was conducted using a Markov model based on the pharmacist-prescribing intervention used in The Alberta Clinical Trial in Optimizing Hypertension (or RxACTION). Outcomes included cardiovascular (CV) events, end-stage kidney disease events, life years, quality-adjusted life years (QALYs), lifetime costs, and lifetime incremental cost-effectiveness ratio (ICER). Costs were based on reimbursement rates, published literature, national…
Mathematical Models | State-Transition | Chronic Disease/Risk | Cost-Effectiveness Analysis | Clinical Care | Health/Medicine | North America -
Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Probability/Bayes | Decision Theory | Chronic Disease/Risk | Decision Psychology | Preferences/Values | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2023Designing Guidelines for Those Who Do Not Follow Them: Impact of Adherence Assumptions on Optimal Screening Guidelines
This study examines the impact of real-world screening adherence on the cost-effectiveness of cervical cancer …
This study examines the impact of real-world screening adherence on the cost-effectiveness of cervical cancer screening guidelines. Using a microsimulation model of cervical carcinogenesis, the researchers projected long-term health and economic outcomes for 18 screening algorithms under various adherence scenarios. These included perfect adherence, eight high- and low-coverage "random-complier" scenarios, and three "systematic-complier" scenarios reflecting conditional screening behavior over a lifetime. Results showed that perfect adherence favored the least intensive screening strategy, while any level…
Mathematical Models | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | Health/Medicine -
ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
Chronic Disease/Risk | Microsimulation | Calibration/Validation | Health/Medicine | North America -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Health Systems | Health Outcomes | Evidence Synthesis | Microsimulation | Calibration/Validation | Maternal/Reproductive Health | Clinical Care | Health/Medicine | Global -
ArticlePublication 2023Out-of-Pocket Expenditures & Financial Risks Associated with Treatment of Vaccine-Preventable Diseases in Ethiopia
This study investigates out-of-pocket (OOP) expenditures and associated catastrophic health expenditures (CHEs) for vaccine-preventable diseases …
This study investigates out-of-pocket (OOP) expenditures and associated catastrophic health expenditures (CHEs) for vaccine-preventable diseases (VPDs) in Ethiopia. Through a cross-sectional costing analysis, data on OOP direct medical and nonmedical expenditures were collected from 995 households in 54 health facilities nationwide. The study focuses on VPDs in children under 5 years for pneumonia, diarrhea, measles, and pertussis, and in children under 15 years for meningitis. Mean OOP expenditures per disease episode ranged from $5·6 to…
Mathematical Models | Chronic Disease/Risk | Child/Nutrition | Costing Methods | Cost-Effectiveness Analysis | Health/Medicine | Sub-Saharan Africa -
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…
Chronic Disease/Risk | Child/Nutrition | Priority Setting/Ethics | Health Outcomes | Microsimulation | Clinical Care | Global -
ArticlePublication 2019Estimation of Eating Disorders Prevalence by Age and Associations with Mortality in a Simulated Nationally Representative U.S. Cohort
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, …
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, and estimates the association of increased treatment coverage with ED-related mortality. Using an individual-level Markov state transition model calibrated to nationally-representative US survey data from 2007 and 2011, the authors simulated a virtual cohort of 100,000 individuals (50% male) from birth to age 40 years and modelled 4 ED diagnoses: anorexia nervosa, bulimia nervosa, binge eating disorder, and other specified…
Child/Nutrition | Health Outcomes | Microsimulation | Calibration/Validation | Mental Health | North America -
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…
Mathematical Models | Chronic Disease/Risk | Health Outcomes | Calibration/Validation | Social Determinants | North America