lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Potential Adverse Drug Events Identified with Decision Support Algorithms from Janusmed Risk Profile: A Retrospective Population-Based Study in a Swedish Region
Linnaeus University, Faculty of Health and Life Sciences, Department of Medicine and Optometry. Linnaeus University, Linnaeus Knowledge Environments, Sustainable Health. (eHealth Institute;DISA;DISA-IDP)ORCID iD: 0000-0003-1549-2469
Linnaeus University, Faculty of Health and Life Sciences, Department of Medicine and Optometry. (eHealth Institute)
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Linnaeus University, Linnaeus Knowledge Environments, Sustainable Health. Region Kalmar County, Sweden. (eHealth Institute;DISA)ORCID iD: 0000-0002-8370-2950
Linnaeus University, Faculty of Health and Life Sciences, Department of Medicine and Optometry. (eHealth Institute)
Show others and affiliations
2024 (English)In: Pharmacy, E-ISSN 2226-4787, Vol. 12, no 6, article id 168Article in journal (Refereed) Published
Abstract [en]

Adverse drug events (ADEs) occur frequently and are a common cause of suffering, hospitalizations, or death, and can be caused by harmful combinations of medications. One method used to prevent ADEs is by using clinical decision support systems (CDSSs). Janusmed Risk Profile is a CDSS evaluating the risk for nine common or serious ADEs resulting from combined pharmacodynamic effects. The aim of this study was to examine the prevalence of potential ADEs identified using CDSS algorithms from Janusmed Risk Profile. This retrospective, cross-sectional study covered the population of a Swedish region (n = 246,010 inhabitants in year 2020) using data on all medications dispensed and administered. More than 20% of patients had an increased risk of bleeding, constipation, orthostatism, or renal toxicity based on their medications. The proportion of patients with an increased risk varied from 3.5% to almost 30% across the nine categories of ADEs. A higher age was associated with an increased risk of potential ADEs and there were gender differences. A cluster analysis identified groups of patients with an increased risk for several categories of ADEs. This study shows that combinations of medications that could increase the risk of ADEs are common. Future studies should examine how this correlates with observed ADEs.

Place, publisher, year, edition, pages
MDPI , 2024. Vol. 12, no 6, article id 168
Keywords [en]
adverse drug events, clinical decision support system, drug-related problems, pharmacoepidemiology, side effects, drug-drug interactions
National Category
Social and Clinical Pharmacy Information Systems
Research subject
Biomedical Sciences, Pharmacology; Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-134355DOI: 10.3390/pharmacy12060168ISI: 001383953800001PubMedID: 39585094OAI: oai:DiVA.org:lnu-134355DiVA, id: diva2:1925504
Available from: 2025-01-08 Created: 2025-01-08 Last updated: 2025-05-16Bibliographically approved
In thesis
1.
The record could not be found. The reason may be that the record is no longer available or you may have typed in a wrong id in the address field.

Open Access in DiVA

fulltext(3522 kB)7 downloads
File information
File name FULLTEXT01.pdfFile size 3522 kBChecksum SHA-512
9e054bab8dc1266146bb4d258f424ba5b7da3b09cf734b58f7dc3564216434aebbe970e9cda92f9d3bd880084c20a857ce9c7559c8d2d2fc0460b689179f73f3
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Authority records

Hammar, ToraJonsén, EmmaBjörneld, OlofAskfors, YlvaLincke, Alisa

Search in DiVA

By author/editor
Hammar, ToraJonsén, EmmaBjörneld, OlofAskfors, YlvaLincke, Alisa
By organisation
Department of Medicine and OptometrySustainable HealthDepartment of computer science and media technology (CM)
In the same journal
Pharmacy
Social and Clinical PharmacyInformation Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 7 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 116 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf