Comparing Drug-Disease Associations in Clinical Practice Guideline Recommendations and Drug Product Label Indications

Tiffany I Leung, Michel Dumontier

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Clinical practice guidelines (CPGs) and structured product labels (SPLs) are both intended to promote evidence-based medical practices and guide clinicians' prescribing decisions. However, it is unclear how well CPG recommendations about pharmacologic therapies for certain diseases match SPL indications for recommended drugs. In this study, we use publicly available data and text mining methods to examine drug-disease associations in CPG recommendations and SPL treatment indications for 15 common chronic conditions. Preliminary results suggest that there is a mismatch between guideline-recommended pharmacologic therapies and SPL indications. Conflicting or inconsistent recommendations and indications may complicate clinical decision making and implementation or measurement of best practices.

Original languageEnglish
Pages (from-to)1039
JournalStudies in Health Technology and Informatics
Volume216
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • Chronic Disease
  • Data Mining
  • Drug Labeling
  • Drug Therapy
  • Humans
  • Natural Language Processing
  • Pharmaceutical Preparations
  • Pharmacology
  • Practice Guidelines as Topic
  • Journal Article

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