Evidence map›Paper›PMID 39929710›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2026

Resolution rate of prescribing errors after advice from a specialised hospital pharmacist or a substitute hospital pharmacist: a retrospective cross-sectional study.

Sarah Wilkes, Laura Kalfsvel, Floor van Rosse, Jorie Versmissen, Hugo van der Kuy, Rianne Zaal

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Article in European journal of hospital pharmacy : science and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sarah WilkesDepartment of Hospital Pharmacy, Erasmus MC University Medical Center, Rotterdam, The Netherlands s.wilkes@erasmusmc.nl.ORCID 0000-0002-6963-519X
Laura KalfsvelDepartment of Hospital Pharmacy, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Floor van RosseDepartment of Hospital Pharmacy, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-6194-3964
Jorie VersmissenDepartment of Hospital Pharmacy, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0003-0674-7765
Hugo van der KuyDepartment of Hospital Pharmacy, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-7128-8801
Rianne ZaalDepartment of Hospital Pharmacy, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-7037-8944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSpecialised hospital pharmacists, integrated in medical teams on the ward, can improve medication safety. When a specialised hospital pharmacist is temporarily not available, the pharmaceutical care will be conducted by a substitute hospital pharmacist with less specific knowledge about that patient population. Our objective was to compare the resolution rate of prescribing errors between specialised hospital pharmacists and their substitutes. Furthermore, we investigated whether other characteristics of the pharmacists, the prescriber, patient, drug or intervention itself were associated with the resolution rate.

methodsA retrospective cross-sectional study was conducted to assess the resolution of prescribing errors, based on the analysis of electronic prescriptions. A prescribing error was defined as an alert that required intervention of the pharmacist to prevent harm or to optimise therapy. To identify prescribing errors, a medical doctor and hospital pharmacist analysed all alerts that were retained to be checked by a pharmacist. Resolution of a prescribing error was defined as resolution of the error within 24 hours after detection.

resultsIn total, 145 574 medication prescriptions were analysed and 448 prescribing errors were detected. Of these prescribing errors, 94.0% were resolved within 24 hours. No differences were found between the resolution rate of prescribing errors after advice from a specialised hospital pharmacists and their substitutes (94.4% vs 91.9%, p=0145 (χ

conclusionsIn the temporarily absence of a specialised hospital pharmacist, the resolution rate of prescribing errors remains high when advice about prescribing errors is provided by a substitute hospital pharmacist.

Indexed as

Medication ErrorsPharmacistsPharmacy Service, HospitalAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedProfessional RoleRetrospective StudiesClinical CompetenceElectronic PrescribingMEDICAL ERRORSPHARMACY SERVICE, HOSPITALQuality of Health Care

Identifiers

PMID39929710
PMCPMC13151448

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.