Conquering Diseases

Computerized Adaptive Suicidal Risk Stratification And Prediction (Catsse)

Description

Seeking men and women who have come to the emergency department (ED) seeking help in order to develop a tool to better detect suicide risk and aid in clinical decision making in ED settings.

Overview

We are collecting information to better detect suicide risk and improve clinical decision making. To do this, study participants will need complete a brief interview and answer some questionnaires about suicidality and well being. Questionnaires may be repeated regularly over the course of 6 months.

What we're hoping for

The aim of this study is to develop a tool which will aid in suicide risk detection and clinical decision making in emergency department (ED) settings.

Additional Information

ClinicalTrials.gov Identifier: Not Available

 Principal Investigator

Edwin  Boudreaux, PhD

UMass Chan Medical School

 Study Contact

Basheer  Rahmoun

MHD.Rahmoun@umassmed.edu

 Location

UMass Chan University Campus

55 Lake Ave North 

Worcester,MA 01655

508-856-8989