Promising
Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.

Conducting a Health Equity Data Analysis (HEDA): A guide for local health departments in Minnesota

Minnesota Department of Health

Release Date:

Toolkit

Data Collection and Analysis
Tools Included
Outside U.S.
ACCESS RESOURCE
Clipboard

Data Collection and Reporting

This is the summary page containing the full guide to HEDA: Conducting a Health Equity Data Analysis: A Guide for Local Health Departments, Version 2. HEDA provides information on how to think about, collect, and analyze local data related to health equity. It provides a starting point for understanding how to document health inequities. This guide provides a detailed process for analyzing health inequities in a local jurisdiction. The guide describes how to use data to identify health differences between population groups, instead of only examining the population as a whole. The process includes steps to identify and examine the causes of population differences in health, and emphasizes the importance of working in partnership at every step with communities experiencing inequities.

Resource Details

Outcomes of Interest

Reduction of Health Disparities

Priority Population(s)

Setting(s) of Implementation

Geographic Area of Implementation

Implementation Period

2018-2022