Your browser doesn't support javascript.
Facilitating the Urgent Public Health Need to Improve Data Sharing With Tribal Epidemiology Centers.
O'Connell, Meghan Curry; Abourezk, Charles.
  • O'Connell MC; CDC Foundation, Atlanta, GA, USA.
  • Abourezk C; Great Plains Tribal Leaders' Health Board, Rapid City, SD, USA.
Public Health Rep ; : 333549231152197, 2023 Feb 03.
Article in English | MEDLINE | ID: covidwho-2223956
ABSTRACT
Tribal epidemiology centers (TECs) are an essential and unique part of the public health system and an important part of federal efforts to improve the health status of American Indian and Alaska Native people. Pursuant to federal statute, TECs serve the 574 federally recognized tribes (hereinafter, "tribes") and their members across the United States, as well as American Indian and Alaska Native people in general. The COVID-19 pandemic has highlighted the need for timely, complete, and accurate public health data, particularly for American Indian and Alaska Native communities and others who may have been disproportionately impacted by COVID-19. This article reviews the history and importance of TECs and federal statutes governing TECs' ability to access and use protected health information for public health purposes. TECs and tribes often encounter difficulty receiving public health data from state and federal agencies despite their designation as "public health authorities" under the Health Insurance Portability and Accountability Act and associated regulations. Limited access to this information hinders the statutory mission of TECs as well as tribal monitoring of and response to public health threats such as SARS-CoV-2. Agency acknowledgment and compliance with current federal law regarding data sharing with TECs are essential to improve data access and the fragile public health of tribal communities.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Public Health Rep Year: 2023 Document Type: Article Affiliation country: 00333549231152197

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Public Health Rep Year: 2023 Document Type: Article Affiliation country: 00333549231152197