HEDA: Health Equity Data Analysis
- Home: HEDA
- Reconnection step
- Population step
- Differences step
- Causes/conditions step
- Analysis frameworks
- Return to the Center for Health Statistics
Contact Info
Center for Health Statistics
Conducting a Health Equity Data Analysis (HEDA): 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. This site and guide provide 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:
- Introduction
- Conducting the health equity data analysis
- Sharing findings
- Using findings to advance health equity
- Data challenges
Full guide
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.
- [Re]connection step: The impact of social determinants of health on health
- Population step: Demographic and socio-demographic data for Minnesota counties
- Differences step: Health outcomes by social determinants of health
- Causes and conditions step: Health equity qualitative data collection
- Health equity analysis frameworks for the HEDA