Previously submitted to: JMIR Public Health and Surveillance (no longer under consideration since Oct 18, 2024)
Date Submitted: Apr 10, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Cross-Jurisdictional Data Sharing: Utilization of the ATra Black Box for Deduplicating Cases in the National HIV Surveillance System
ABSTRACT
Background:
As the use of HIV surveillance data becomes a more integral part of national care indicators and ongoing patient engagement strategies, accurate, complete, and timely data are crucial. The ATraTM Black Box is an electronic privacy-assuring system developed by Georgetown University (GU) which allows for the secure and streamlined exchange of data between public health jurisdictions.
Objective:
In 2018, GU was awarded a 5-year grant from CDC, PS18-1805 (1805), to de-duplicate persons across HIV surveillance jurisdictions. This paper outlines the processes GU undertook to engage public health jurisdictions and provides results of the Black Box matching sessions through the end of 2023.
Methods:
GU recruited jurisdictions for participation in the project and developed communication plans and documentation to assist jurisdictions with participating in quarterly matching sessions of the Black Box. GU surveyed jurisdictions to determine technical assistance needs and satisfaction with the project and held virtual and in-person meetings.
Results:
As of October 2023, GU had enrolled 40 public health jurisdictions into 1805 with signed data sharing agreements, and 75% of persons living with diagnosed HIV (PLWDH) in the US reside in these jurisdictions. Through the end of 2023, GU has conducted 21 quarterly matching sessions of the Black Box, processing over 2.1M records in the November 2023 session.
Conclusions:
The implementation of the Black Box for sharing HIV surveillance data across jurisdictions has resulted in decreased staff time needed to update information on PLWDH. This project has improved the quality of key HIV surveillance data that are needed to measure progress on key HIV indicators at the local and national level.
Citation
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