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Best Practices for Implementation and Evaluation of a Suicide Prevention Grants Program: A Workshop and Meeting of Experts

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At the request of the U.S. Department of Veterans Affairs, a planning committee appointed under the auspices of the Board on Behavioral, Cognitive, and Sensory Sciences at the National Academies of Sciences, Engineering, and Medicine will organize and convene a workshop and expert meeting on best practices for implementation and evaluation of suicide prevention grants programs. Topics to be addressed include criteria for determining grant recipient eligibility, metrics for demonstrating progress early in a program, and strategies for assessing and improving portfolio effectiveness. A rapporteur will prepare a proceedings to summarize the workshop presentations and discussions.

Description

The National Academies of Sciences, Engineering, and Medicine will appoint a planning committee to organize a one-day public workshop followed by a one-day meeting of experts on the best practices for implementation and evaluation of suicide prevention grants programs. The workshop will explore issues, such as the following:
• What are the best practices for initiating a grants program primarily comprised of non-clinical interventions designed to reduce suicide occurrence? How should eligibility for grant recipients be determined and are there effective ways to facilitate a more effective portfolio?
• What are the best practices for evaluating the effectiveness of a grants program designed to mitigate the impacts of social determinants of health on suicide risk and reduce suicide occurrence? What metrics might be employed to demonstrate progress in these areas early in the inception of the program?
• What are best practices for reporting on the effectiveness of a portfolio of grants? How can individual and aggregate data be used to understand the broader population-level impacts? Relatedly, what should the guidelines be for grant recipients in ensuring efficient measurements and data collection, balancing the need for quality and transparency with the burdens of data reporting?

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