Building Strong Community Partnerships to Address Social Needs
Evidence | Publications

Building Strong Community Partnerships to Address Social Needs

A Case Study in Effective Advisory Board Collaboration from the Accountable Health Communities Model
Published: Apr 30, 2021
Publisher: Centers for Medicare & Medicaid Services
Health Delivery System Reforms Medicaid and CHIP Medicare Population Health Federal
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Full Publication
Associated Project

Accountable Health Communities: Identifying and Addressing Social Determinants of Health

Time frame: 2017–2022

Prepared for:

U.S. Department of Health and Human Services

U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services

U.S. Department of Health and Human Services, Center for Medicare & Medicaid Innovation

Key Findings
  • Work with cultural, faith-based, and other community-based organizations to invite community residents to join a multisector advisory board.
  • Create professional development opportunities for community resident advisory board members, such as training, mentoring, networking, and public speaking opportunities.
  • During meetings, allot time for small groups of diverse partners to share their different motivations and perspectives and foster new connections.
  • Share anonymized data gathered from health-related social needs screening with the advisory board to demonstrate the prevalence of needs in a community. These data can help partners prioritize their individual and collective efforts to improve community resources.

The Accountable Health Communities Model required Alignment Track awardees to establish multisector advisory boards to better understand and address the needs of community members and beneficiaries participating in the Model. This case study highlights one model awardee’s successful strategies for fostering relationships and building consensus among partners, as well as for meaningfully engaging beneficiaries in its advisory board. It also discusses how AHC health-related social needs screening and navigation data help inform community-based organizations’ activities.

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