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Enhancing the ATra Black Box Matching Algorithm: Use of All Names for Deduplication Across Jurisdictions.

Auntré D Hamp1,2, Helen E Karn1, Frances Y Kwon1

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Summary

Using all known names in HIV surveillance software (ATra) significantly improves duplicate case detection across jurisdictions. This enhances the accuracy of the Enhanced HIV/AIDS Reporting System (eHARS) for people with diagnosed HIV.

Keywords:
HIVdata sharingdeduplicationsurveillance

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Area of Science:

  • Public Health
  • Biostatistics
  • Health Informatics

Background:

  • Accurate HIV surveillance data is crucial but challenged by patient migration and cross-jurisdictional care seeking in the US.
  • The ATra Black Box system aids public health entities in managing duplicate records within the Enhanced HIV/AIDS Reporting System (eHARS).

Purpose of the Study:

  • To evaluate the effectiveness of two ATra software algorithms in identifying duplicate HIV case records across multiple jurisdictions.
  • To compare the performance of a single-name matching algorithm versus an all-names matching algorithm for HIV surveillance data.

Main Methods:

  • Two matching algorithms were implemented in ATra: Single Name Matching and All Names Matching.
  • Six public health jurisdictions utilized these algorithms to identify potential duplicate case-pairs for individuals with diagnosed HIV.
  • Outputs were compared based on the number of potential matches and changes in matching levels.

Main Results:

  • The All Names Matching Algorithm identified 9,070 more duplicate matches than the Single Name Matching Algorithm.
  • The All Names Matching Algorithm increased the total number of exact to high-level matches by 15.4% (25,776 additional matches).
  • This demonstrates a substantial improvement in detecting duplicate records.

Conclusions:

  • Utilizing all known first and last names in ATra significantly enhances HIV data quality.
  • Matching all names against eHARS is superior to using only a single name for improving surveillance data accuracy.
  • This approach is vital for robust HIV surveillance across multiple jurisdictions.