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:
- Conducting the Health Equity Data Analysis
- Sharing findings
- Using findings to advance health equity
- Data challenges
The following links are resources that are referred to in the guide. These links provide additional information about certain topics in the guide.
- HEDA [re]connection step: The impact of social determinants of health on health
- HEDA population step: Demographic and socio-demographic data for Minnesota counties
- HEDA differences step: Health outcomes by social determinants of health
- HEDA causes and conditions step: Health equity qualitative data collection
- Health equity analysis frameworks for the HEDA