tame: An R package for identifying clusters of medication use based on dose, timing and type of medication Article Swipe
Anna Laksafoss
,
Jan Wohlfahrt
,
Anders Hviid
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.06.24.24309427
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.06.24.24309427
Simplified exposure classifications, such as ever exposed versus never exposed, are commonly used in pharmacoepidemiology. However, this simplification may obscure complex use patterns relevant to researchers. We introduce tame, an R package that offers a novel method for classifying medication use patterns, capturing complexities such as timing, dose, and concurrent medication use in real-world data. The core innovation of tame is its bespoke distance measure, which identifies complex clusters in medication use and is highly adaptable, allowing customization based on the Anatomical Therapeutic Chemical (ATC) Classification System, medication timing, and dose. By prioritizing a robust distance measure, tame ensures accurate and meaningful clustering, enabling researchers to uncover intricate patterns within their data. The package also includes tools for visualizing and applying these clusters to new datasets. In a national Danish cohort study, tame identified nuanced antidepressant use patterns before and during pregnancy, demonstrating its capability to detect complex trends. tame is available on the Comprehensive R Archive Network at [ https://CRAN.R-project.org/package=tame ] under an MIT license, with a development version on GitHub at [ https://github.com/Laksafoss/tame ]. tame enhances medication use classification by detecting complex interactions and offering insights into real-world medication usage, thus improving stratification in epidemiological studies.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.06.24.24309427
- https://www.medrxiv.org/content/medrxiv/early/2024/06/25/2024.06.24.24309427.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400018649
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Raw OpenAlex JSON
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- DOI
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https://doi.org/10.1101/2024.06.24.24309427Digital Object Identifier
- Title
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tame: An R package for identifying clusters of medication use based on dose, timing and type of medicationWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-25Full publication date if available
- Authors
-
Anna Laksafoss, Jan Wohlfahrt, Anders HviidList of authors in order
- Landing page
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https://doi.org/10.1101/2024.06.24.24309427Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2024/06/25/2024.06.24.24309427.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2024/06/25/2024.06.24.24309427.full.pdfDirect OA link when available
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R package, Computer science, Medicine, Psychology, Programming languageTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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11Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_institution_ids | https://openalex.org/I101527212 |
| citation_normalized_percentile.value | 0.74655231 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |