Dataset for "Validity and reliability of a method to estimate the potential harm of medication errors by considering both the likelihood and degree of harm"

  • Rached Al Atassi (University of Bath) (Creator)
  • Wing Shun Chan (University of Bath) (Creator)
  • Zivile Jurjonaite (University of Bath) (Creator)
  • Rahel Kahsay (University of Bath) (Creator)
  • Emily Samson (University of Bath) (Creator)
  • Matthew Jones (Creator)

Dataset

Description

This dataset contains the responses to two surveys that were used to assess the validity and reliability of a new 'risk score tool' that was designed to estimate the potential harm of a medication error by estimating the probability of a range of potential consequences. The risk score tool described five levels of potential harm. Judges estimated the likelihood of harm matching each level, from which a risk score (0-10) was calculated. Thirty judges (doctors, nurses and pharmacists) used this risk score and the existing Dean and Barber scale to estimate the potential harm of 50 medication errors, 15 with a known outcome (Survey 1). Two weeks later, the judges re-scored ten of the errors (Survey 2).
Date made available13 Dec 2024
PublisherUniversity of Bath

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