Evidence map›Paper›PMID 27386320›Full record

ArticleSpringerPlus2016

The support of medication reviews in hospitalised patients using a clinical decision support system.

Hugo A J M de Wit, Kim P G M Hurkens, Carlota Mestres Gonzalvo, Machiel Smid, Walther Sipers, Bjorn Winkens, Wubbo J Mulder, Rob Janknegt, Frans R Verhey, Paul-Hugo M van der Kuy and 1 more

Abstract read
In one paragraph

Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

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

11 authors.

Hugo A J M de WitDepartment of Clinical Pharmacy and Toxicology, Zuyderland Medical Centre, Henri Dunantstraat 5, 6419 PC Heerlen, The Netherlands.
Kim P G M HurkensDepartment of Internal Medicine, Section of Geriatric Medicine, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands.
Carlota Mestres GonzalvoDepartment of Clinical Pharmacy and Toxicology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands.
Machiel SmidDepartment of Internal Medicine, Section of Geriatric Medicine, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands.
Walther SipersDepartment of Internal Medicine, Section of Geriatric Medicine, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands.
Bjorn WinkensDepartment of Methodology and Statistics, CAPHRI-School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.
Wubbo J MulderDepartment of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
Rob JanknegtDepartment of Clinical Pharmacy and Toxicology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands.
Frans R VerheyDepartment of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg/School for Mental Health and Neurosciences, Maastricht University, Maastricht, The Netherlands.
Paul-Hugo M van der KuyDepartment of Clinical Pharmacy and Toxicology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands.
Jos M G A ScholsDepartment of General Practice and Department of Health Services Research, CAPHRI-School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFirst, to estimate the added value of a clinical decision support system (CDSS) in the performance of medication reviews in hospitalised elderly. Second, to identify the limitations of the current CDSS by analysing generated drug-related problems (DRPs).

methodsMedication reviews were performed in patients admitted to the geriatric ward of the Zuyderland medical centre. Additionally, electronically available patient information was introduced into a CDSS. The DRP notifications generated by the CDSS were compared with those found in the medication review. The DRP notifications were analysed to learn how to improve the CDSS.

resultsA total of 223 DRP strategies were identified during the medication reviews. The CDSS generated 70 clinically relevant DRP notifications. Of these DRP notifications, 63 % (44) were also found during the medication reviews. The CDSS generated 10 % (26) new DRP notifications and conveyed 28 % (70) of all 249 clinically relevant DRPs that were found. Classification of the CDSS generated DRP notifications related to 'medication error type' revealed that 'contraindications/interactions/side effects' and 'indication without medication' were the main categories not identified during the manual medication review. The error types 'medication without indication', 'double medication', and 'wrong medication' were mostly not identified by the CDSS.

conclusionsThe CDSS used in this study is not yet sufficiently advanced to replace the manual medication review, though it does add value to the manual medication review. The strengths and weaknesses of the current CDSS can be determined according to the medication error types.

Indexed as

Clinical decision support systemsGeriatricsMedication errors

Identifiers

PMID27386320
PMCPMC4920784

What OpenQuestion holds

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Registered trials

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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.