Resources Repository
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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…
Microsimulation | Calibration/Validation | North America | Mental Health | Health Outcomes | Child/Nutrition -
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 -
ArticlePublication 2012Modeling the Risks and Benefits of Depression Treatment for Children and Young Adults
This article, published in Value in Health, presents a discrete event simulation model to quantify …
This article, published in Value in Health, presents a discrete event simulation model to quantify the trade-offs with respect to clinical benefits and the risk of fatal and non-fatal suicidal behavior of alternative treatment strategies for a U.S. pediatric population with major depressive disorder. The authors evaluate treatment strategies including: selective serotonin reuptake inhibitors (SSRIs), cognitive behavioral therapy (CBT), and a combination of both. The results show that the use of SSRIs is associated with…
Microsimulation | North America | Mental Health | Health Outcomes | Technology Assessment | Health/Medicine