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Tampa – Classification Algorithm for Suicidality Assessment (T-CASA) Version 5.0

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Tampa – Classification Algorithm for Suicidality Assessment (T-CASA) Version 5.0

Developed by Dr. David V. Sheehan & Jennifer M. Giddens

T-CASA 5.1 Now Available (click here)

Out of stock

Description

The Tampa – Classification Algorithm for Suicidality Assessment (T-CASA) was designed to capture the details about the events of suicidality.  The order of columns from left to right was deliberately designed to lend itself to a fluid sequence of data capture from the patient’s perspective.  It gives the clinician insight into the patient’s experience by asking the patient to document the ideation type, the level of willfulness, and the emotion level associated with the experience.  This data is not captured by other classification systems, leading some patients to feel as though their experience is not heard or understood or validated.  Patients believe it is important to capture this data to provide these clinicians, researchers, and regulatory agencies accurate insight into their experience of these events.

For ease of navigation, this document has many internal hyperlinks between the graphics and the related text, and between the text and the related text.  It contains bookmarks and has a search / find function.

Please note: downloading the classification algorithm is not a license agreement for use.

You will be allowed to download the classification algorithm twice.  Any additional downloads will require additional purchase.  The classification algorithm is in PDF format.  You will need a PDF reader to view the classification algorithm.  You can download Adobe Acrobat Reader DC here.

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