Evidence map›Paper›PMID 36981484›Full record

ArticleHealthcare (Basel, Switzerland)2023

Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy Team.

Laurine Robert, Elodie Cuvelier, Chloé Rousselière, Sophie Gautier, Pascal Odou, Jean-Baptiste Beuscart, Bertrand Décaudin

Open access · goldFull text read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Laurine RobertCHU Lille, Institut de Pharmacie, F-59000 Lille, France.
Elodie CuvelierCHU Lille, Institut de Pharmacie, F-59000 Lille, France.ORCID 0000-0002-0799-8526
Chloé RousselièreCHU Lille, Institut de Pharmacie, F-59000 Lille, France.ORCID 0000-0002-1882-5583
Sophie GautierUniv. Lille, CHU Lille, INSERM U1171-Centre Régional de Pharmacovigilance, F-59000 Lille, France.
Pascal OdouCHU Lille, Institut de Pharmacie, F-59000 Lille, France.
Jean-Baptiste BeuscartUniv. Lille, CHU Lille, ULR 2694-METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France.ORCID 0000-0002-0734-8371
Bertrand DécaudinCHU Lille, Institut de Pharmacie, F-59000 Lille, France.ORCID 0000-0001-8267-5594
Université de Lille · FRCentre Hospitalier Universitaire de Lille · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical decision support systems (CDSSs) are intended to detect drug-related problems in real time and might be of value in healthcare institutions with a clinical pharmacy team. The objective was to report the detection of drug-related problems through a CDSS used by an existing clinical pharmacy team over 22 months. It was a retrospective single-center study. A CDSS was integrated in the clinical pharmacy team in July 2019. The investigating clinical pharmacists evaluated the pharmaceutical relevance and physician acceptance rates for critical alerts (i.e., alerts for drug-related problems arising during on-call periods) and noncritical alerts (i.e., prevention alerts arising during the pharmacist's normal work day) from the CDSS. Of the 3612 alerts triggered, 1554 (43.0%) were critical, and 594 of these 1554 (38.2%) prompted a pharmacist intervention. Of the 2058 (57.0%) noncritical alerts, 475 of these 2058 (23.1%) prompted a pharmacist intervention. About two-thirds of the total pharmacist interventions (PI) were accepted by physicians; the proportion was 71.2% for critical alerts (i.e., 19 critical alerts per month vs. 12.5 noncritical alerts per month). Some alerts were pharmaceutically irrelevant-mainly due to poor performance by the CDSS. Our results suggest that a CDSS is a useful decision-support tool for a hospital pharmacist's clinical practice. It can help to prioritize drug-related problems by distinguishing critical and noncritical alerts. However, building an appropriate organizational structure around the CDSS is important for correct operation.

Indexed as

clinical decision support system (CDSS)clinical pharmacistdrug-related problems

Identifiers

PMID36981484
PMCPMC10048130
OpenAlexW4324055482

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read64
Read underepoch 390

Registered trials

None linked

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.