Evidence map›Paper›PMID 40032596›Full record

Trial reportBMJ open quality2025

Electronic pharmaceutical record for best possible medication history at preoperative evaluation to prevent postoperative adverse events: a quasi-experimental study.

Claire Chapuis, Jean-Luc Bosson, Jean-Didier Bardet, Marion Lepelley, Dimitri Sourd, Matthieu Roustit, Benoit Allenet, Sébastien Chanoine, Pierre Albaladejo, Pierrick Bedouch

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in BMJ open quality, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02071472 (Evaluation of the Impact of an Electronic Pharmaceutical Record Used for Medication Reconciliation by a Pharmacist Associated to the Anesthesiologist Consultation), which is not on this map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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.

NCT02071472 naunknown statusnot on this map

Evaluation of the Impact of an Electronic Pharmaceutical Record Used for Medication Reconciliation by a Pharmacist Associated to the Anesthesiologist Consultation

TypeinterventionalSponsorUniversity Hospital, GrenobleRan2014 to 2016Enrolled1,076ConditionsElectronic Health RecordsArmsDP medication reconciliation
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Claire ChapuisAnaesthesiology and Intensive Care, University Hospital, Grenoble, France CChapuis1@chu-grenoble.fr.ORCID http://orcid.org/0000-0002-0076-6335
Jean-Luc BossonTIMC-IMAG UMR 5525 / Themas, UJF-Grenoble 1 / CNRS, Grenoble, France.ORCID http://orcid.org/0000-0003-0967-6026
Jean-Didier BardetTIMC-IMAG UMR 5525 / Themas, UJF-Grenoble 1 / CNRS, Grenoble, France.
Marion LepelleyPôle Santé publique, CHU Grenoble Alpes, CHU Grenoble, Grenoble, France.
Dimitri SourdTIMC-IMAG UMR 5525 / Themas, UJF-Grenoble 1 / CNRS, Grenoble, France.
Matthieu RoustitUniv. Grenoble Alpes, Inserm, CIC1406, CHU Grenoble Alpes, F-38000 Grenoble, France.ORCID http://orcid.org/0000-0003-4475-1626
Benoit AllenetPôle Pharmacie, CHU Grenoble Alpes, CHU Grenoble Alpes, Grenoble, France.
Sébastien ChanoinePôle Pharmacie, CHU Grenoble Alpes, CHU Grenoble Alpes, Grenoble, France.
Pierre AlbaladejoAnaesthesiology and Intensive Care, University Hospital, Grenoble, France.
Pierrick BedouchPôle Pharmacie, CHU Grenoble Alpes, CHU Grenoble Alpes, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to reliable data about patient's medications before surgery represents a challenge for reducing the risk of postoperative adverse events (AE) potentially related to preoperative treatment.

objectiveTo evaluate the impact on AE of a nationwide ambulatory electronic pharmaceutical record (EPR) used by a pharmacist for best possible medication history (BPMH), associated with the preoperative evaluation.

methodsThis quasi-experimental comparative interventional study included 750 adult patients with an available EPR, admitted to the preoperative clinic for elective orthopaedic surgery, between April 2014 and April 2017. Data analysis was completed in September 2022. In the intervention group, a pharmacist performed the BPMH using the EPR, before the patient's medical evaluation. In the control group, there was conventional preoperative evaluation. The primary outcome was the number of patients with at least one AE collected by using the trigger tool method, within 30 days after surgery. Secondary outcomes were the number of medications reported in the medical record and the number of patients with at least one documented adverse drug event (ADE) by an independent committee within 30 days after surgery.

resultsOf 1924 patients admitted to the preoperative clinic, 750 patients who had a record (39%) were included (153 (41%) men; median age 61 (49-71 and 50-70) years in both groups), 375 in each group. There was a 29% reduction in the proportion of patients with at least one AE in the intervention group (110/374 patients (29%) with 165 AE vs 156/372 patients (42%) with 233 AE) (OR 0.58 (0.43-0.78), p<0.01). There were significantly more drugs reported on the medical record in the intervention group (3 (1-5) vs 2 (1-4), p<0.01). There was no significant difference between the two groups in the number of patients with ADE (71/374 patients (19%) with 96 ADE vs 80/372 patients (22%) with 108 ADE, p=0.44). CONCLUSIONS AND RELEVANCE: A BPMH performed by a pharmacist using a nationwide EPR at the time of preoperative evaluation contributed to reducing AE, potentially preventing harm to patients. TRIAL REGISTRATION NUMBER: NCT02071472.

Indexed as

Electronic Health RecordsMedical History TakingPostoperative ComplicationsPreoperative CareAdultAgedDrug-Related Side Effects and Adverse ReactionsFemaleHumansMaleMedication ReconciliationMiddle AgedAdverse events, epidemiology and detectionAnaesthesiaInformation technologyMedication reconciliationTrigger tools

Identifiers

PMID40032596
PMCPMC11877192

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Registered trials

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.