Using prescribing very short answer questions to identify sources of medication errors: a prospective study in two UK medical schools.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
09 07 2019
Historique:
entrez: 11 7 2019
pubmed: 11 7 2019
medline: 21 7 2020
Statut: epublish

Résumé

To assess the utility and ability of the novel prescribing very short answer (VSA) question format to identify the sources of undergraduate prescribing errors when compared with the conventional single best answer (SBA) question format and assess the acceptability of machine marking prescribing VSAs. A prospective study involving analysis of data generated from a pilot two-part prescribing assessment. Two UK medical schools. 364 final year medical students took part. Participation was voluntary. There were no other inclusion or exclusion criteria. (1) Time taken to mark and verify VSA questions (acceptability), (2) differences between VSA and SBA scores, (3) performance in VSA and (4) SBA format across different subject areas and types of prescribing error made in the VSA format. 18 200 prescribing VSA questions were marked and verified in 91 min. The median percentage score for the VSA test was significantly lower than the SBA test (28% vs 64%, p<0.0001). Significantly more prescribing errors were detected in the VSA format than the SBA format across all domains, notably in prescribing insulin (96.4% vs 50.3%, p<0.0001), fluids (95.6% vs 55%, p<0.0001) and analgesia (85.7% vs 51%, p<0.0001). Of the incorrect VSA responses, 33.1% were due to the medication prescribed, 6.0% due to the dose, 1.4% due to the route and 4.8% due to the frequency. Prescribing VSA questions represent an efficient tool for providing detailed insight into the sources of significant prescribing errors, which are not identified by SBA questions. This makes the prescribing VSA a valuable formative assessment tool to enhance students' skills in safe prescribing and to potentially reduce prescribing errors.

Identifiants

pubmed: 31289084
pii: bmjopen-2018-028863
doi: 10.1136/bmjopen-2018-028863
pmc: PMC6629393
doi:

Substances chimiques

Analgesics 0
Insulin 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e028863

Subventions

Organisme : Medical Research Council
ID : MR/N008219/1
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Amir H Sam (AH)

Medical Education Research Unit, Imperial College School of Medicine, Imperial College London, London, UK.

Chee Yeen Fung (CY)

Medical Education Research Unit, Imperial College School of Medicine, Imperial College London, London, UK.

Rebecca K Wilson (RK)

Medical Education Research Unit, Imperial College School of Medicine, Imperial College London, London, UK.

Emilia Peleva (E)

Medical Education Research Unit, Imperial College School of Medicine, Imperial College London, London, UK.

David C Kluth (DC)

Medical Education, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.

Martin Lupton (M)

Medical Education Research Unit, Imperial College School of Medicine, Imperial College London, London, UK.

David R Owen (DR)

Medical Education Research Unit, Imperial College School of Medicine, Imperial College London, London, UK.

Colin R Melville (CR)

Division of Medical Education, School of Medical Sciences, University of Manchester, Manchester, UK.

Karim Meeran (K)

Medical Education Research Unit, Imperial College School of Medicine, Imperial College London, London, UK.

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Classifications MeSH