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Potential Drug-Related Problems in Pediatric Patients-Describing the Use of a Clinical Decision Support System at Pharmacies in Sweden
Uppsala University, Sweden.
Uppsala University, Sweden.
Linnaeus University, Faculty of Health and Life Sciences, Department of Medicine and Optometry. (eHealth Institute;DISA;DISA-IDP)ORCID iD: 0000-0003-1549-2469
2023 (English)In: Pharmacy, E-ISSN 2226-4787, Vol. 11, no 1, article id 35Article in journal (Refereed) Published
Abstract [en]

The clinical support system Electronic Expert Support (EES) is available at all pharmacies in Sweden to examine electronic prescriptions when dispensing to prevent drug-related problems (DRPs). DRPs are common, and result in patient suffering and substantial costs for society. The aim of this research was to study the use of EES for the pediatric population (ages 0-12 years), by describing what types of alerts are generated for potential DRPs, how they are handled, and how the use of EES has changed over time. Data on the number and categories of EES analyses, alerts, and resolved alerts were provided by the Swedish eHealth Agency. The study shows that the use of EES has increased. The most common type of alert for a potential DRP among pediatric patients was regarding high doses in children (30.3% of all alerts generated). The most common type of alert for a potential DRP that was resolved among pediatrics was therapy duplication (4.6% of the alerts were resolved). The most common reason for closing an alert was dialogue with patient for verification of the treatment (66.3% of all closed alerts). Knowledge of which type of alerts are the most common may contribute to increased prescriber awareness of important potential DRPs.

Place, publisher, year, edition, pages
MDPI, 2023. Vol. 11, no 1, article id 35
Keywords [en]
clinical decision support system, EES, dispensing, pharmacy, alerts, drug-related problems, pediatric
National Category
Social and Clinical Pharmacy
Research subject
Biomedical Sciences, Pharmacology
Identifiers
URN: urn:nbn:se:lnu:diva-119954DOI: 10.3390/pharmacy11010035ISI: 000940924800001PubMedID: 36827673OAI: oai:DiVA.org:lnu-119954DiVA, id: diva2:1746030
Available from: 2023-03-27 Created: 2023-03-27 Last updated: 2023-10-03Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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