Engaging Pharmacists to Crowdsource a Fine-grained Medication Risk Scale: An Initial Measurement Study Using Paired Comparisons of Medications

AMIA Annu Symp Proc. 2020 Mar 4:2019:428-437. eCollection 2019.

Abstract

A coarse classification of medications into two risk categories, one for high-risk medications and one for all others, allows people to focus safety improvement work on medications that carry the highest risks of harm. However, such coarse categorization does not distinguish the relative risk of harm for the majority of medications. To begin to develop a more fine-grained measurement scale for the relative risk of harm spanning many medications, we performed an experiment with 18 practicing pharmacists. Each pharmacist-participant made 210 paired comparisons of 21 commonly prescribed medications to reveal a subjective scale of perceived medication worrisomeness (PMW). Statistical analyses of their collective judgments of medication pairs differentiated five levels of PMW. This study illuminates one path towards a fine-grained medication risk scale based on PMW. It also shows how the method of paired comparisons can be used to remotely crowdsource expert knowledge in support of learning health systems.

MeSH terms

  • Crowdsourcing*
  • Drug-Related Side Effects and Adverse Reactions*
  • Humans
  • Matched-Pair Analysis*
  • Patient Safety
  • Pharmacists*
  • Risk Assessment