Addressing Data Inequities in American Indian Communities Through an Environmental Public Health Tracking Pilot
Samantha Lucas-Pipkorn1, Ashley Tuomi
1Great Lakes Inter-Tribal Epidemiology Center, Great Lakes Inter-Tribal Council, Minneapolis, Minnesota (Ms Lucas-Pipkorn); and American Indian Health and Family Services of Southeastern MI, Detroit, Michigan (Dr Tuomi).
Abstract:
National and state surveillance systems identify American Indians/Alaska Natives inconsistently and often inaccurately within their data sets. Consequently, communities may not be represented with data at the level of geography needed. Collecting and presenting environmental and health-related data to the public are done by state Tracking Networks. Great Lakes Inter-Tribal Epidemiology Center (GLITEC) conducted a groundbreaking 2014 Tribal Environmental Health Tracking pilot project that engaged tribes, an urban Indian community, 3 state health departments, a Tribal Epidemiology Center (TEC), and a federal agency. Two other TECs-the Albuquerque Area Southwest Tribal Epidemiology Center (AASTEC) and Northwest Tribal Epidemiology Center (NW EpiCenter)-are now modeling GLITEC's project. They will forge active partnerships with at least one tribe and build relationships with state Tracking programs, explore environmental priorities, identify health outcomes of greatest concern for each community, and determine whether environmental or health inquiries can be addressed through state Tracking data. The Tribal Environmental Health Tracking pilot project provides an example of how state public health Tracking programs can be responsive to data inequities, build relationships between tribes/urban Indian communities, and increase their competency for working with indigenous communities.
More Related Videos
11:21Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
06:05The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Related Concept Videos
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Bias in Epidemiological Studies
Principles of Disease Surveillance
Dimensions of Health and Illness
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
