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The Massachusetts Racial Equity Data Road Map: Data as a Tool Toward Ending Structural Racism
Susan E Manning1, Antonia M Blinn, Sabrina C Selk
1Massachusetts Department of Public Health, Boston, Massachusetts (Drs Manning, Selk, Stone, Yazdy, and Bharel and Mss Blinn, Silva, and Stetler), and Maternal and Child Health Epidemiology Team, Centers for Disease Control and Prevention, Atlanta, Georgia (Dr Manning).
Massachusetts Department of Public Health (MDPH) created a Racial Equity Data Road Map to improve data use for addressing health disparities. This initiative aims to promote racial equity by enhancing data collection and application in public health programs.
Area of Science:
- Public Health
- Health Equity
- Data Science
Background:
- Massachusetts Department of Public Health (MDPH) prioritized health and racial equity in 2015.
- A staff capacity survey revealed needs in data collection and use for promoting racial equity.
- MDPH launched a quality improvement project to enhance data utilization for racial equity initiatives.
Purpose of the Study:
- To improve the use of data for actionable strategies that promote racial equity in public health.
- To identify and address challenges hindering the effective use of data in racial equity work.
Main Methods:
- Value stream mapping to analyze existing data-use processes.
- Key informant interviews and program director surveys to identify challenges.
- Cause-and-effect diagramming to organize challenges and identify solutions.
Main Results:
- Key informants emphasized considering structural, historical, and community contexts in data interpretation.
- Program directors cited limited staff time, unclear metrics, competing priorities, data quality issues, and vague expectations as barriers.
- The MDPH Racial Equity Data Road Map (Road Map) was developed and piloted to address these challenges.
Conclusions:
- The Road Map offers strategies for data collection and use to target racial inequities effectively.
- It serves as a resource for community engagement, contextualizing data, and designing root-cause solutions.
- Public health systems can leverage this framework to develop data-driven programs and policies for improved racial equity.
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