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"
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).
Cite this dataset as:
Al Atassi, R.,
Chan, W.,
Jurjonaite, Z.,
Kahsay, R.,
Samson, E.,
Jones, M.,
2024.
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".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01394.
Export
Access on request: Access to Survey_1_data.csv and Survey_2_data.csv is restricted to bona fide researchers.
Creators
Rached Al Atassi
University of Bath
Wing Shun Chan
University of Bath
Zivile Jurjonaite
University of Bath
Rahel Kahsay
University of Bath
Emily Samson
University of Bath
Matthew Jones
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
Data collection methods are fully described in the associated open access paper "Validity and reliability of a method to estimate the potential harm of medication errors by considering both the likelihood and degree of harm".
Data processing and preparation activities:
Data processing methods are fully described in the associated open access paper "Validity and reliability of a method to estimate the potential harm of medication errors by considering both the likelihood and degree of harm".
Technical details and requirements:
No unusual software required.
Documentation Files
Errors.csv
application/csv (8kB)
Creative Commons: Attribution 4.0
Key linking error numbers from surveys 1 and 2 to the textual description of that error used in the survey
Templates
Survey 1.pdf
application/pdf (415kB)
Creative Commons: Attribution 4.0
PDF of online survey used for survey 1.
Survey 2 - follow up.pdf
application/pdf (119kB)
Creative Commons: Attribution 4.0
PDF of online survey used for survey 2.
Funders
University of Bath
https://doi.org/10.13039/501100000835
Publication details
Publication date: 13 December 2024
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01394
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1394
Related papers and books
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Matthew Jones
Faculty of Science
Life Sciences
