Opportunity
Simpler Grants.gov #PAR-25-289
NIH Grant for Research on Emergency Department Diversion Models for Mental Health
Buyer
National Institutes of Health
Posted
November 25, 2024
Respond By
January 07, 2028
Identifier
PAR-25-289
NAICS
541720
This opportunity is a research grant from the National Institutes of Health (NIH) focused on improving emergency department (ED) diversion models for non-urgent mental health concerns. - Government Buyer: - National Institutes of Health (NIH) - Products/Services Requested: - Research on family navigation ED diversion models for non-urgent mental health issues - Emphasis on triage tools to assess mental health acuity - Facilitation of engagement in mental health services and resources - Support and knowledge for families to overcome barriers to help-seeking - Eligible Applicants: - Educational institutions, government entities, businesses, nonprofits, and special categories (e.g., HBCUs, TCCUs, Alaska Native and Native Hawaiian Serving Institutions) - Unique/Notable Requirements: - Focus on innovative research to evaluate, implement, and optimize diversion models - No specific OEMs, vendors, or products are being procured, as this is a grant for research - Place of Performance: - National Institutes of Health (federal office) - Assistance Listing: 93.242 -- Mental Health Research Grants
Description
This funding opportunity is to support research on the effectiveness, implementation, and optimization of family navigation emergency department diversion models for non-urgent mental health issues. The models should include triage tools to assess mental health acuity, facilitate engagement in mental health services and resources, and provide support and knowledge to families to overcome barriers to help-seeking. Eligible applicants include a wide range of educational institutions, government entities, businesses, and nonprofits. The opportunity is offered by the National Institutes of Health and aims to improve mental health service delivery through innovative diversion models.