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A systematic review of methods for determining cross-sectional active medications using pharmacy databases
Timothy S Anderson1,2, Edison Xu2,3, Evans Whitaker4
1Division of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA.
Pharmacoepidemiology and Drug Safety
|February 15, 2019
Summary
Accurately identifying patient medications from pharmacy databases is challenging. This review found varying accuracy in methods like fixed look-back periods and medication-on-hand approaches, highlighting the need for more comparative studies.
Area of Science:
- Pharmacoepidemiology
- Health Informatics
Background:
- Pharmacy dispensing databases are crucial for assessing medication use and clinical outcomes.
- Accurate identification of active medications at a specific time point is essential for research and quality measurement.
Purpose of the Study:
- To systematically review methods for assessing medications in use at a specific time point using pharmacy dispensing databases.
- To compare the performance of different approaches for identifying active medications.
Main Methods:
- A systematic literature search identified studies comparing pharmacy database methods with non-automated data sources.
- Two investigators independently reviewed study abstracts and full-text articles.
Main Results:
- Twenty-nine studies used fixed look-back periods (84-730 days), and 14 used medication-on-hand approaches.
- Sensitivity varied widely: 48%-93% for fixed look-back and 35%-97% for medication-on-hand.
- Head-to-head comparisons showed medication-on-hand sensitivity was 7% lower than fixed look-back.
Conclusions:
- The accuracy of methods for identifying active medications from pharmacy databases varies significantly.
- Further direct comparisons are needed to determine the accuracy of these methods across different populations, medication classes, and databases.
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