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Latest Publications by CAPES Faculty and Important Suicide Research to Practice Translation

You can also visit our repository of CAPES products (including our newsletters, tip sheets, reports, and publications) at the Lamar Soutter Library eScholarship page.

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Tip Sheets Produced by CAPES

Below are tip sheets produced by CAPES' Dissemination and Community Engagement (DanCE) Unit and by the CAPES Lived Experience Advisory Board (CLEAB).

Best Practices for Public Dissemination of Suicide Research

Best Practices for Public Dissemination of Suicide Research Tip Sheet Thumbnail

Many of us are aware of the media guidelines for responsible media reporting around suicide (e.g., from Reporting on Suicide, the World Health Organization, and Samaritans). Irresponsible communication around suicide in the media has been shown to increase risk and can even contribute to higher suicide rates (Niederkrotenthaler et al., 2012; 2020). As researchers, we have a part to play in responsible reporting and sharing of suicide research findings with the public.

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Guidance for Researchers and Developers of Suicide Prevention Technology Tools

Guidance for Researchers and Developers of Suicide Prevention Technology Tools Tip Sheet Thumbnail

This tip sheet includes guidance for researchers working in digital health and technology tools for suicide prevention, as well as software developers and companies working in digital health for suicide prevention. These are not rules to follow, and instead are offered to center patient autonomy, choice, and transparency when offering digital tools. Suicide prevention refers to screening, assessment, risk management, and interventions.

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The Use of Artificial Intelligence in Suicide Prevention and Mental Health Support

The Use of Artificial Intelligence in Suicide Prevention and Mental Health Support Tip Sheet Thumbnail

These are questions and guidance for researchers developing or applying for funding related to artificial intelligence for use in mental health and suicide prevention. Persons with a range of lived experiences—from acute to chronic suicidal despair—should be meaningfully included in the design and development of AI tools, to ensure the content is grounded in real world perspectives.

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Publications on Suicide Prevention, Machine Learning, and Implementation Science

Click on the button below each publication for the FREE version in PubMedCentral.

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AI and Person-Centered Design

Ethics in Suicide Research

Implementation Science and Systems Level Issues

Machine Learning, Health, and Suicide Risk Identification

Predicting Suicide Risk During or After Emergency Department Visits or Hospitalization

Predicting Suicide Risk in Other Settings

Smartphone Technology, Suicide Risk, and Mental Health

Suicide Epidemiology

Suicide Risk Interventions

Publications on CAPES Projects

Click on the button below each publication for the FREE version in PubMedCentral.

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Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE)

Emergency Department Safety Assessment and Follow-up Evaluation 2 (ED-SAFE 2)

Systems of Safety (SOS)

Technology-Assisted Systems Change for Suicide Prevention (TASCS)

Telehealth to Improve Prevention of Suicide (TIPS)

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Check Out the Other Practice Based Suicide Prevention Research Centers

CAPES is one of many Practice Based Suicide Prevention Research Centers funded by the NIMH. Check out each of the websites for the Centers. We seek to amplify and complement their work, and all rapidly advance the science and bridge the research to practice gap in suicide prevention.