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- Sookman, D., et al.
(författare)
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Knowledge and competency standards for specialized cognitive behavior therapy for adult Obsessive-Compulsive Disorder: Phase two series by the International Accreditation Task Force of The Canadian Institute for OCD (CIOCD, www.ciocd.ca)
- 2021
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Ingår i: Psychiatry Research. - : Elsevier BV. - 1872-7123 .- 0165-1781. ; 303
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Tidskriftsartikel (refereegranskat)abstract
- Obsessive-Compulsive Disorder (OCD) is a leading cause of disability world-wide (World Health Organization, 2008). Treatment of OCD is a specialized field whose aim is recovery from illness for as many patients as possible. The evidence-based psychotherapeutic treatment for OCD is specialized cognitive behavior therapy (CBT, NICE, 2005, Koran and Simpson, 2013). However, these treatments are not accessible to many sufferers around the world. Currently available guidelines for care are deemed to be essential but insufficient because of highly variable clinician knowledge and competencies specific to OCD. The phase two mandate of the 14 nation International OCD Accreditation Task Force (ATF) created by the Canadian Institute for Obsessive Compulsive Disorders is development of knowledge and competency standards for specialized treatments for OCD through the lifespan deemed by experts to be foundational to transformative change in this field. This paper presents knowledge and competency standards for specialized CBT for adult OCD developed to inform, advance, and offer a model for clinical practice and training for OCD. During upcoming ATF phases three and four criteria and processes for training in specialized treatments for OCD through the lifespan for certification (individuals) and accreditation (sites) will be developed based on the ATF standards
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| 2. |
- Cafiso, S., et al.
(författare)
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Information modeling for road asset management
- 2019
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Ingår i: International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. - : AIP Publishing. - 9780735418547 ; 2116
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Konferensbidrag (refereegranskat)abstract
- The introduction of high efficiency and multifunctional equipment for road survey increase not only the quality but also the possibility of integration of different source of data to increase the value of the information. The present research work, starting from a common data source, the Automatic Road Analyzer (ARAN) of the University of Catania, shown as data surveyed with ARAN can be used to develop an advanced Road Information Model (RIM) for the Road Asset Management (RAM). A RIM model makes possible to improve the flexibility in information access and to merge data with the aim to allow a complete RAM application in the same environment. Data collected and stored with high efficiency equipment allows to get high quality and detailed information of the road asset and offers the chance to create georeferenced database which can be used both for safety assessment and for the other RAM related applications. BIM provides a comprehensive approach involving the generation and management of transport infrastructure assets using 3D digital representations of their physical and functional characteristics allowing to produce ad hoc output for investigate in the same environment different parts of the RAM.
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