HEDA: Conducting a Health Equity Data Analysis
A Guide for Local Health Departments in Minnesota
Analyzing health inequities requires a process that uses data to identify health differences between population groups instead of only examining the population as a whole. The process then continues by identifying and examining the causes of these population differences in health. “HEDA: Conducting a Health Equity Data Analysis” provides information on how to think about and analyze data related to health equity, and serves as a starting point for understanding how to document health inequities in Minnesota. The Guide is organized into the following sections:
HEDA: Conducting a Health Equity Data Analysis: A Guide for Local Health Departments
Web Resources
The following links are resources that are referred to in the Guide. These links provide additional information about certain topics in the Guide.
- Documenting the Impact of Social Determinants of Health on Health ((Re)connection Step)
- Quantitative Data: Demographic and Socio-Demographic Data for Minnesota Counties (Population Step)
- Quantitative Data: Health Outcomes by SDOH for Minnesota and its Counties (Differences Step)
- Qualitative Data Collection Methods (Conditions and Causes Steps)
- Health Equity Data Analysis Frameworks
