Resources Repository
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ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Dynamic Simulation | State-Transition | North America | Policy/Regulation | Mathematical Models | Microsimulation | Decision Analysis | Chronic Disease/Risk | Environmental Health | Health Systems | Business/Industry | Climate/Environment | Government/Law | Health/Medicine -
ArticlePublication 2023Benefits and Costs of COVID-19 Vaccine Mandates
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations …
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations for U.S. federal employees and healthcare and private sector workers. These mandates were controversial and some were halted by litigation. If they had been implemented as intended, the net benefits would depend on the course of the pandemic. If a more transmissible variant (such as Omicron) emerges, the net benefits may be large. If the pandemic instead fades, the benefits…
State-Transition | North America | Policy/Regulation | Mathematical Models | Benefit-Cost Analysis | Infectious Diseases | Business/Industry | Economics/Finance | Government/Law | Health/Medicine -
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…
State-Transition | North America | Policy/Regulation | Value of Information | Benefit-Cost Analysis | Infectious Diseases | Economics/Finance | Europe -
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…
Calibration/Validation | North America | Mental Health | Health Outcomes | Microsimulation | Child/Nutrition -
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 | North America | Social Determinants | Health Outcomes | Mathematical Models | Chronic Disease/Risk -
ArticlePublication 2022Excess Mortality and Elevated Body Weight in the U.S.
This analysis estimates excess mortality associated with elevated body weight in the United States by …
This analysis estimates excess mortality associated with elevated body weight in the United States by state and demographic subgroup. The authors developed a nationally-representative microsimulation (individual-level) model of US adults between 1999 and 2016, based on risk factor data from the Behavioral Risk Factor Surveillance System and body-mass index (BMI) mortality hazard ratios from a global pooling dataset. The model was calibrated to empirical all-cause mortality rates from CDC WONDER by state and subgroup, and…
Calibration/Validation | North America | Social Determinants | Health Outcomes | Microsimulation | Chronic Disease/Risk -
Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Mental Health and Modeling
This resource pack, curated by the Center for Health Decision Science, features resources on modeling …
This resource pack, curated by the Center for Health Decision Science, features resources on modeling approaches applied to mental health. We aim to provide an overview of different techniques to guide researchers and practitioners in applying decision science and economic modeling to this public health challenge. More specifically, this resource pack contains review articles comparing different modeling techniques in the evaluation of treatments for depression, bipolar disorder and schizophrenia. The majority of articles in this…
State-Transition | North America | Mental Health | Costing Methods | Health Outcomes | Evidence Synthesis | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Europe -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Calibration/Validation | North America | Policy/Regulation | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Chronic Disease/Risk | Health Systems | Clinical Care | Economics/Finance | Health/Medicine -
ArticlePublication 2014Cost-Effectiveness of Second-Generation Antipsychotics for the Treatment of Schizophrenia
This article, published in Value in Health, describes a Markov model that compares the cost-effectiveness …
This article, published in Value in Health, describes a Markov model that compares the cost-effectiveness of alternate sequences of treatment strategies using second-generation antipsychotics (SGAs) for patients with schizophrenia. First-line treatments include one of the four SGAs: olanzapine (OLZ), risperidone (RSP), quetiapine (QTP), and ziprasidone (ZSD). Patients are able switch to another of these antipsychotics as second-line therapy, and only clozapine (CLZ) is allowed as third-line treatment. Model input parameters were obtained from the Clinical…
State-Transition | North America | Mental Health | Cost-Effectiveness Analysis | Health/Medicine