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Stratifying Quality Measures by Housing Status and Location

Year Developed: 2023

Resource Type: Online Self-Paced Learning Modules.

Primary Audience: Administrative Staff, Clinicians, Enabling Staff, Outreach Staff, PCAs
Secondary Audience: Board of Directors, C-Suite (CEOs, CFOs, CIO, COOs, CMOs, etc.)

Language(s): English

Developed by: National Nurse-Led Care Consortium (See other resources developed by this organization).

Resource Summary: In this training, we learned how to impact communities meaningfully by utilizing data to improve screening, care quality, and health outcomes. NNCC and the Primary Care Development Corporation partnered to conduct a webinar that guided health centers serving public housing residents and other special groups on using UDS data for QI, care coordination, and care model design.

Resource Details: In this training, we learned how to impact communities meaningfully by utilizing data to improve screening, care quality, and health outcomes. NNCC and the Primary Care Development Corporation partnered to conduct a webinar that guided health centers serving public housing residents and other special groups on using UDS data for QI, care coordination, and care model design. Participants discovered how to stratify UDS data by location and understand social determinants of health (SDOH) factors that impact health outcomes. We also covered how to use PRAPARE data to drive quality improvement and provide examples of successful interventions for sub-populations. We explored challenges and enablers related to leveraging SDOH to inform quality improvement.

Resource Topic: Emerging Issues, Health Equity, HIT/Data, Quality Improvement, Special & Vulnerable Populations, Workforce, Promising/Best Practices

Resource Subtopic: Research and Data, Sustainability, Population Health, Development/Training, Social Determinants of Health (SDOH).

Keywords: Data Collection, Management, and Analytics, Health Information Exchange (HIE), Housing, Patient Demographics, Quality Measures, Residents of Public Housing, Strategic Planning, Uniform Data System (UDS).

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of an award totaling $6,625,000 with 0 percentage financed with non-governmental sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the U.S. Government. For more information, please visit HRSA.gov.