Applying research and data for continuous equity improvement

Applying research and data for continuous equity improvement

 The image is an infographic that outlines a strategic framework for promoting equity within an organization or initiative. At the top, it states "Define the issue, equity opportunity & purpose" and "Engage representative Equity Advisory Team." The flow then branches into two pathways:  The left path includes "Multiple Evidence Perspectives," with subcategories such as Experiential (Direct Community Voice/Input), Contextual (Available Resources & Limitations), Administrative (Front-Line Procedural Input), and Statistical Data (Equity Metrics). This leads to "Operationalize Improvements," which includes actions like recognizing, training, and coaching staff, aligning partnerships, celebrating achievements, and documenting adjustments, culminating in "Monitor & Sustain."  The right path begins with "Equity Discussions & Solutions Design," emphasizing learning from multiple sources and input perspectives. This leads to "Producing Recommendations & Further Inquiries," followed by "Review, Approve & Assign Authority," which includes assigned resources, informed/adjusted metrics, communication tools, and transparency dashboards.  The overall design uses arrows and boxes to guide the viewer through the process, with a color scheme of blue, yellow, and orange, indicating a structured approach to establishing and maintaining equity in policy or practice.

The image above depicts a continuous equity improvement cycle that begins with examining multiple evidence perspectives including experiential and contextual evidence; applies multiple sources and perspectives to design solutions; reviews, approves, and measures recommended actions; and operationalizes improvements. The cycle repeats over and over again to embed equity across all phases of policy, systems change, and resource development.

Importantly, the continuous equity improvement cycle applies multiple evidence perspectives including experiential and contextual evidence, drawn from CDC’s Evidence Project framework:

  • Experiential Evidence is the collective insight, understanding, skill, and expertise of those who have practiced or lived in a particular setting over time. Some examples of data sources and methods for gathering experiential evidence include reflective questions, communities of practice, expert panels, and team decision-making and other consensus processes.
  • Contextual Evidence is based on “factors that address whether a strategy is useful, feasible to implement, and accepted by a particular community.” Community history, organizational capacity, and social norms are some factors that may impact the success of a prevention strategy.

Resources

  • The Veto Violence online training Understanding Evidence provides further insights on the best available research, experiential, and contextual evidence and how they can help you when making a decision about a violence prevention program, practice, or policy.
  • Review the Center for Law and Social Policy’s Redefining Evidence-Based Practices: Expanding our View of Evidence to learn more about how an over-reliance on evidence-based practices alone can perpetuate structural inequities and the importance of developing new standards of program implementation and evaluation that are both data driven and community informed.
  • The Urban Institute’s Centering Racial Equity in Measurement and Evaluation explores how racial equity and inclusion can strengthen nonprofits’ measurement and evaluation work and how measurement and evaluation help nonprofits identify inequities and use data to improve the operationalization of racial equity practices.

 

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