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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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Data for Equity: Creating an Antiracist, Intersectional Approach to Data in a Local Health Department.

L Hannah Gould1, Stephanie E Farquhar, Sophia Greer

  • 1NYC Department of Health and Mental Hygiene, Queens, New York.

Journal of Public Health Management and Practice : JPHMP
|September 16, 2022
PubMed
Summary
This summary is machine-generated.

Local health departments can embed equity into data work by strengthening analytic skills, improving communication, and engaging communities. This framework promotes antiracist data praxis for equitable health outcomes.

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Area of Science:

  • Public Health
  • Health Equity
  • Data Science

Background:

  • Embedding equity into data work is crucial for local health departments.
  • Antiracist data praxis requires systemic changes across an organization.

Purpose of the Study:

  • To develop recommendations for embedding equity into data work at a local health department.
  • To create a framework for antiracist data praxis.

Main Methods:

  • A working group of agency staff met to identify successes and challenges in data practices.
  • Recommendations were generated through collaborative discussion.

Main Results:

  • Recommendations covered 6 themes: analytic skills, communication, data collection, community engagement, capacity building, and leadership.
  • Specific projects are underway or completed.

Conclusions:

  • Improving data equity necessitates changes in data processes and commitment to racial justice.
  • A collaborative model was developed to reform data work and embed an equity lens.