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Record linkage software in the public domain: a comparison of Link Plus, The Link King, and a 'basic' deterministic
Kevin M Campbell1, Dennis Deck, Antoinette Krupski
1Washington State Division of Alcohol and Substance Abuse, PO Box 45330, Olympia, Washington 98504-5330, USA. campbkm@dshs.wa.gov
This study compared record linkage software for unduplicating a large administrative database. The Link King and Link Plus achieved optimal accuracy, outperforming a basic deterministic algorithm for data management.
Area of Science:
- Health Informatics
- Data Management
- Biostatistics
Background:
- Accurate record linkage is crucial for unduplicating large administrative databases.
- Evaluating the performance of different record linkage algorithms is essential for data quality.
Purpose of the Study:
- To compare the accuracy of a deterministic record linkage algorithm with two public domain software applications: The Link King and Link Plus.
- To assess the sensitivity and positive predictive values (PPVs) of these algorithms in unduplicating a large client database.
Main Methods:
- A deterministic algorithm, The Link King, and Link Plus were applied to an administrative database of over 500,000 clients.
- A random sample of linked records underwent blinded clerical review by four research staff.
- Sensitivity and PPVs were calculated using reviewer decisions as the gold standard.
Main Results:
- The Link King and Link Plus achieved optimal sensitivity and PPVs in the mid-90s.
- The basic deterministic algorithm yielded a sensitivity of 79% and PPVs of 98%.
Conclusions:
- The Link King is a suitable option for SAS users due to its comprehensive features.
- Link Plus is a viable alternative for non-SAS users, provided programming resources are available.
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