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Related Experiment Video

Updated: Mar 28, 2026

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
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Development and evaluation of a record linkage protocol for Utah's Controlled Substance Database.

April F Mohanty1, Jacob Crook2, Christina A Porucznik3

  • 1George E. Wahlen Department of Veterans Affairs Medical Center, USA.

Health Informatics Journal
|December 25, 2015
PubMed
Summary

A new protocol successfully linked Utah

Keywords:
The Link Kingcontrolled substanceprescription registry

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Area of Science:

  • Health Informatics
  • Public Health
  • Data Science

Background:

  • Utah's Controlled Substance Database lacks master identifiers for patient record linkage.
  • Accurate patient identification is crucial for analyzing prescription data.

Purpose of the Study:

  • To develop and evaluate a protocol for linking patient records in Utah's Controlled Substance Database.
  • To assess the accuracy and reliability of the developed linkage protocol.

Main Methods:

  • Utilized The Link King software to link over 22 million prescriptions (2005-2009) for 2.2 million patients.
  • Employed patient identifiers such as names and dates of birth for record linkage.
  • Conducted rigorous review of linked record pairs and patient sets to determine linkage accuracy.

Main Results:

  • The linkage protocol demonstrated high accuracy, with a significant percentage of links classified as definitely or probably correct.
  • A very small fraction of links (<1%) could not be confirmed as correct, and no incorrect links were definitively identified.
  • Record set reviews indicated robust linkage performance, with minimal instances of insufficient information or probable/definite incorrect links.

Conclusions:

  • The developed linkage protocol effectively and accurately links patient records within Utah's Controlled Substance Database.
  • These validated linked data are valuable for future research, including cross-sectional and longitudinal studies on prescription histories.
  • The protocol enhances the utility of prescription drug monitoring programs for public health research.