Abstract
Objectives: To develop a tool to ‘risk score’ the potential harm of a medication error by estimating the probability of a range of potential consequences, and assess its feasibility, validity and reliability.
Methods: The risk score tool described five levels of potential harm developed from an existing risk matrix. 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. Two weeks later, the judges re-scored ten of the errors. Reliability was investigated using generalisability theory.
Key findings: Fifty medication errors were judged in a mean of 49 minutes with ≤0.7% missing data. There were no significant differences in the judges’ rating of the realism and ease-of use of the two tools. 59% of judges preferred the risk score tool. For both tools, there was a clear relationship between mean score and known outcomes, with no overlap between outcome categories, confirming discriminative validity. The correlation between scores from both tools (R2=0.99) confirmed the concurrent criterion validity of the risk score. For both tools, at least three judges would need to score an error to obtain a generalisability coefficient of ≥0.8 using the mean score as an indicator of potential harm.
Conclusions: The risk score was feasible, valid and reliable. Its performance was comparable with, but did not exceed, the Dean and Barber scale.
Methods: The risk score tool described five levels of potential harm developed from an existing risk matrix. 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. Two weeks later, the judges re-scored ten of the errors. Reliability was investigated using generalisability theory.
Key findings: Fifty medication errors were judged in a mean of 49 minutes with ≤0.7% missing data. There were no significant differences in the judges’ rating of the realism and ease-of use of the two tools. 59% of judges preferred the risk score tool. For both tools, there was a clear relationship between mean score and known outcomes, with no overlap between outcome categories, confirming discriminative validity. The correlation between scores from both tools (R2=0.99) confirmed the concurrent criterion validity of the risk score. For both tools, at least three judges would need to score an error to obtain a generalisability coefficient of ≥0.8 using the mean score as an indicator of potential harm.
Conclusions: The risk score was feasible, valid and reliable. Its performance was comparable with, but did not exceed, the Dean and Barber scale.
Original language | English |
---|---|
Journal | International Journal of Pharmacy Practice |
Early online date | 21 Dec 2024 |
DOIs | |
Publication status | E-pub ahead of print - 21 Dec 2024 |
Data Availability Statement
M.D.J. continues to have full access to the study data, which are stored on University of Bath servers. The remaining authors had the same access until they graduated from the University of Bath in 2022. They now have access via M.D.J. The anonymized dataset generated and analysed during the current study is available in the University of Bath Research Data Archive (https://doi.org/10.15125/BATH-01394).Funding
This work was supported by the University of Bath, which had no role in the study design, data collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.
Keywords
- Medication Errors
- medication safety
- Validity
- Reliability
- Harm
- Scale development
- Likelihood
- Risk analysis
ASJC Scopus subject areas
- Pharmacy
- Research and Theory
- Medicine (miscellaneous)
Datasets
-
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"
Al Atassi, R. (Creator), Chan, W. S. (Creator), Jurjonaite, Z. (Creator), Kahsay, R. (Creator), Samson, E. (Creator) & Jones, M. (Creator), University of Bath, 13 Dec 2024
DOI: 10.15125/BATH-01394
Dataset