Equitably Collect, Analyze, and Disseminate Injury and Violence Data

Data Strategies to Build Health Equity

Facilitate conversations with key stakeholders and partners about the intended result and best indicator(s) for measuring progress. Consider following a framework such as RBA.

Encourage and provide resources for disaggregated data collection and analysis of marginalized and underserved populations to better understand the distribution of risk factors, protective factors, and overall IVP burden.

Encourage interpreting factors such as socioeconomic status and race as relational factors as opposed to individual characteristics (as appropriate).

Use community-based participatory research and qualitative methods to supplement quantitative data and share populations’ lived experiences.

Identify limitations and biases of data collection and analysis methods. Increase data and surveillance efforts to minimize inequity gaps when collecting population-level data to support research and strategy implementation.

Discuss the root causes of IVP-related injuries and fatalities in research activities. Examine inclusion and exclusion criteria for data sets, and critically assess if those criteria add bias to the data.

Include input from persons with lived experiences when developing programs and conducting evaluations.

Be mindful throughout and include the target population in evaluation and/or planning to minimize or avoid any unintended implications from data collection, analysis, or dissemination that could produce any harmful health or cultural effects or create mistrust in a community. Identify potential partners who can help with data access and/or analysis.

Identify any outside dashboards that you could merge with your own to create data automation and projections (ex. HHS Protect collecting hospital data and downloading it to their own data sets).

Use the data equity framework as a guide when planning data collection efforts.

Share dissemination timeline and process for requesting data.

When possible, share data that can depict trends over 3-5 years to allow for more meaningful discussions about causes and solutions.