Suicide is the 11th leading cause of death in the United States, accounting for approximately 34,000 deaths per year [1]. Despite the prevalence, many clinical research trials routinely exclude suicidal individuals due to the lack of appropriate tools and protocols to adequately manage suicide risk. Similarly, clinicians are hesitant to treat suicidal patients, fearing the possibility of legal action by bereft family members should their loved one kill him/herself. The overarching goal of this project is to improve the availability and quality of mental health care for suicidal individuals by: 1) increasing the ability of clinicians'to implement best practice techniques for suicide risk assessment and management, and 2) reducing clinicians'fear of litigation following a suicide by reducing the actual risk of litigatin. This will be accomplished by designing and developing an innovative, web- based tool that guides clinicians through an empirically-derived suicide risk assessment and management protocol, while also providing thorough documentation that suicide risk was managed according to state-of-the- art procedures. Suicide Safety Net: Multimedia Tools for Reliable Risk Management Documentation (SSN) is based on the University of Washington Risk Assessment and Management Protocol (UWRAMP), a tool developed and used extensively by Linehan and colleagues at the UW, and by other treatment outcome researchers working with highly suicidal patients. All content will be thoroughly reviewed and critiqued by a consortium of suicide and forensic experts for accuracy of content.
Specific aims for the present Phase I application are as follows.
Aim 1 : Iteratively develop content and implementation guidelines for a Suicide Safety Net (SSN) prototype utilizing a consortium of forensic suicide experts.
Aim 2 : Conduct a formative evaluation of the SSN prototype to determine usability, acceptability and perceived barriers to use among target end-users (i.e., clinicians and researchers).
Aim 3 : Conduct an open feasibility trial with practicing clinicians (N=30) who treat suicidal patients from eight diverse settings to evaluate the SSN prototype and identify additional barriers to use. Pending positive Phase I outcomes, we will: 1) complete development of the full SSN system, 2) produce an e-Learning curricula providing instruction in how to use the SSN in routine clinical practice and within clinical research trials, and 3) conduct a pilot feasibility trial with clinicians in mutiple mental health settings using the full SSN system with suicidal adult clients.

Public Health Relevance

Suicide is the 11th leading cause of death in the United States, accounting for approximately 34,000 deaths per year [1]. Despite the prevalence, many clinical research trials routinely exclude suicidal individuals due to the lack of appropriate tool and protocols to adequately manage suicide risk, similarly, clinicians are hesitant to treat suicidal patients, fearing the possibility of legal action by bereft family members should their loved one kill him/herself. This application seeks to develop, through collaboration with a consortium of suicide and forensic experts, a web-based multimedia tool that will guide clinician users through a state-of-the-art suicide risk assessment and management procedure followed by a thorough best-practice documentation process, with the ultimate hope that use of SSN will: 1) increase clinicians'willingness to treat suicidal clients, 2) improve the quality of suicide rik assessment and intervention when clients are at imminent risk of suicide;and 3) increase the inclusion of suicidal clients in clinical outcome trials.

Agency
National Institute of Health (NIH)
Institute
National Center for Advancing Translational Sciences (NCATS)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43TR000471-01
Application #
8315845
Study Section
Special Emphasis Panel (ZRG1-BBBP-V (10))
Program Officer
Sawczuk, Andrea
Project Start
2012-09-01
Project End
2014-08-31
Budget Start
2012-09-01
Budget End
2014-08-31
Support Year
1
Fiscal Year
2012
Total Cost
$225,803
Indirect Cost
Name
Behavioral Tech Research, Inc.
Department
Type
DUNS #
611659215
City
Seattle
State
WA
Country
United States
Zip Code
98105