Longer Simulations of Major Depression Epidemiology

Patten, Scott B.

Longer Simulations of Major Depression Epidemiology

dc.contributor.author	Patten, Scott B.	en
dc.date.accessioned	2007-03-14
dc.date.available	2007-03-14
dc.date.issued	2007-03-14
dc.description	This animation accompanies a paper that may be published in the journal BMC Psychiatry.	en
dc.description.abstract	Background: Epidemiologic estimates are now available for a variety of parameters related to major depression epidemiology (incidence, prevalence, etc.). These estimates are potentially useful for policy and planning purposes, but it is first necessary that they be synthesized into a coherent picture of the epidemiology of the condition. Several attempts to do so have been made using mathematical modeling procedures. However, this information is not easy to communicate to users of epidemiological data (clinicians, administrators, policy makers). Methods: In this study, up-to-date data on major depression epidemiology were synthesized using a discrete event simulation model. The mathematical model was animated in Virtual Reality Modeling Language (VRML) to create a visual, rather than mathematical, depiction of the epidemiology. The animation is available in DSpace (http://hdl.handle.net/1880/44474). Results: Consistent with existing literature, the model highlights potential advantages of population health strategies that emphasize access to effective long-term treatment. Conclusions: Visual animation of epidemiological results may be an effective knowledge translation tool. In clinical practice, such animations could potentially assist with patient education and enhanced long-term compliance.	en
dc.description.refereed	Yes	en
dc.description.sponsorship	Dr. Patten is a Health Scholar with the Alberta Heritage Foundation for Medical Research and a Research Fellow with the Institute of Health Economics.	en
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/10751
dc.identifier.uri	http://hdl.handle.net/1880/44475
dc.language.iso	eng	en
dc.publisher.corporate	University of Calgary	en
dc.publisher.faculty	Medicine	en
dc.rights	Attribution Non-Commercial No Derivatives 3.0 Unported	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/	*
dc.subject	Health Sciences	en
dc.subject	Animation	en
dc.subject.other	Depressive Disorders	en
dc.subject.other	Major Depression	en
dc.title	Longer Simulations of Major Depression Epidemiology	en
dc.type	learning object	en
thesis.degree.discipline	Community Health Sciences and Psychiatry	en