Microsimulation Models on Mental Health: A Critical Review of the Literature

de Oliveira, Claire; Matias, Maria Ana; Jacobs, Rowena

doi:10.1016/j.jval.2023.10.015

Cited by 2 publications

(1 citation statement)

References 39 publications

(138 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If microsimulations are becoming mainstream in the field, de Oliveira et al (2023) find only few models focused on mental health, with fewer still deemed to be of "high quality". Their critical review will surely help addressing this shortcoming.…”

Section: Suggestions For Further Redingmentioning

confidence: 99%

Editorial

2023

IJM

View full text Add to dashboard Cite

The winter 2023 issue of the International Journal of Microsimulation is published as the International Microsimulation Association heads to its 9 th World Congress (Vienna, Austria, 8 th -10 th January 2024). The issue contains five articles, covering different microsimulation techniques and applications. The first article, by Karl Widerquist and Georg Arndt, is a static tax-benefit analysis of a Universal Basic Income (UBI) scheme for the United Kingdom (UK). The analysis reflects a growing interest in UBI worldwide, and adds to an active discussion of UBI schemes for the UK in particular (see Torry , 2023). The second article, by Montserrat Gonzalez Garibay, contains a review of how retirement decisions are modelled in dynamic microsimulation models (DMSs). The paper fills a gap in the literature, as existing reviews of DMSs (e.g.

show abstract

Section: Suggestions For Further Redingmentioning

confidence: 99%

Editorial

2023

IJM

View full text Add to dashboard Cite

show abstract

The PSY-SIM Model: Using Real-World Data to Inform Health Care Policy for Individuals With Chronic Psychotic Disorders

de Oliveira,

Mason,

Luu

et al. 2023

Schizophrenia Bulletin

View full text Add to dashboard Cite

Background and Hypothesis Few microsimulation models have been developed for chronic psychotic disorders, severe and disabling mental disorders associated with poor medical and psychiatric outcomes, and high costs of care. The objective of this work was to develop a microsimulation model for individuals with chronic psychotic disorders and to use the model to examine the impact of a smoking cessation initiative on patient outcomes. Study Design Using health records and survey data from Ontario, Canada, the PSY-SIM model was developed to simulate health and cost outcomes of individuals with chronic psychotic disorders. The model was then used to examine the impact of the Smoking Treatment for Ontario Patients (STOP) program from Ontario on the development of chronic conditions, life expectancy, quality of life, and lifetime health care costs. Study Results Individuals with chronic psychotic disorders had a lifetime risk of 63% for congestive heart failure and roughly 50% for respiratory disease, cancer and diabetes, and a life expectancy of 76 years. The model suggests the STOP program can reduce morbidity and lead to survival and quality of life gains with modest increases in health care costs. At a long-term quit rate of 4.4%, the incremental cost-effectiveness ratio of the STOP program was $41,936/QALY compared with status quo. Conclusions Smoking cessation initiatives among individuals with chronic psychotic disorders can be cost-effective. These findings will be relevant for decision-makers and clinicians looking to improving health outcomes among this patient population.

show abstract

Microsimulation Models on Mental Health: A Critical Review of the Literature

Cited by 2 publications

References 39 publications

Editorial

Editorial

The PSY-SIM Model: Using Real-World Data to Inform Health Care Policy for Individuals With Chronic Psychotic Disorders

Contact Info

Product

Resources

About