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Model Approaches for Monitoring Quality in the Community

Grant ID
292514
Grant Category
HHS-ACL
Opportunity ID: 292514
Opportunity Number: HHS-2017-ACL-AOD-DNIQ-0221
Opportunity Title: Model Approaches for Monitoring Quality in the Community
Opportunity Category: Discretionary
Opportunity Category Explanation:  
Funding Instrument Type: Cooperative Agreement
Category of Funding Activity: Health
Category Explanation:  
CFDA Number(s): 93.631
Eligible Applicants: State governments
Public and State controlled institutions of higher education
Native American tribal governments (Federally recognized)
Native American tribal organizations (other than Federally recognized tribal governments)
Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
Private institutions of higher education
Additional Information on Eligibility: Foreign entities are not eligible to compete for, or receive, awards made under this announcement.
Agency Code: HHS-ACL
Agency Name: Department of Health and Human Services
Administration for Community Living
Posted Date: Mar 16, 2017
Last Updated Date: Mar 16, 2017
Estimated Synopsis Post Date: Apr 03, 2017
Fiscal Year: 2017
Award Ceiling: $450,000
Award Floor: $300,000
Estimated Total Program Funding: $1,350,000
Expected Number of Awards: 3
Description: Through a cooperative agreement, AIDD will fund a consortium to develop and test a model for effectively monitoring quality in community settings that reduces and mitigates the incidence of abuse and neglect and supports empowerment, self-determination, and self-advocacy. The consortium will document their systems change and policy change efforts throughout the project period. A signed Memorandum of Understanding (MOU) between the members of the consortium must be submitted as part of the application. The agreement should describe how the entities participated in the development of the actual application and more importantly, how they plan to work together to ensure the goals and objectives included in the applicant are achieved.
Version: Forecast 1

Last modified on 10/16/2017


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