Evidence map›Paper›PMID 34148179›Full record

Observational studyInternal and emergency medicine2021

Risk factors associated with unintentional medication discrepancies at admission in an internal medicine department.

Morgane Masse, Cécile Yelnik, Julien Labreuche, Loïc André, Edgar Bakhache, Bertrand Décaudin, Elodie Drumez, Pascal Odou, Mathilde Dambrine, Marc Lambert

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Internal and emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Morgane MasseUniv. Lille, CHU Lille, ULR 7365-GRITA-Groupe de Recherche sur les Formes Injectables et les Technologies Associées, 59000, Lille, France. morgane.masse@univ-lille.fr.
Cécile YelnikUniv. Lille, Inserm, CHU Lille, U1167, 59000, Lille, France.
Julien LabreucheUniv. Lille, CHU Lille, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins, 59000, Lille, France.
Loïc AndréCHU Lille, Service de Médecine Polyvalente-Post-Urgence, 59000, Lille, France.
Edgar BakhacheCHU Lille, Service de Médecine Polyvalente-Post-Urgence, 59000, Lille, France.
Bertrand DécaudinUniv. Lille, CHU Lille, ULR 7365-GRITA-Groupe de Recherche sur les Formes Injectables et les Technologies Associées, 59000, Lille, France.
Elodie DrumezUniv. Lille, CHU Lille, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins, 59000, Lille, France.
Pascal OdouUniv. Lille, CHU Lille, ULR 7365-GRITA-Groupe de Recherche sur les Formes Injectables et les Technologies Associées, 59000, Lille, France.
Mathilde DambrineCHU Lille. Institut de Pharmacie, 59000, Lille, France.
Marc LambertUniv. Lille, Inserm, CHU Lille, U1167, 59000, Lille, France.
Centre Hospitalier Universitaire de Lille · FRGroupe de Recherche sur les formes Injectables et les Technologies AssociéesInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At admission, unintentional medication discrepancies (UMDs) can occur and may led to severe adverse events. Some of them are preventable through medication reconciliation (MR). As MR is a time-consuming activity, a better identification of high-risk patients of UMDs is mandatory. The objective was to identify risk factors associated with UMDs at admission in an internal medicine department. This prospective observational study was conducted from April 2017 to June 2019. At admission, inpatients had MR to obtain a complete list of home medications. This list was compared to prescriptions made at admission. All discrepancies were classified as intentional or UMDs. Univariate and multivariate analyses to identify the risk factors associated with UMDs were performed. MR was performed on 1157 patients (70.1 ± 16.8 years old); 550 MR (47.5%) contained at least one UMD. More than half of the UMDs (n = 892, 65.6%) corresponded to drug omission. The univariate analysis showed that age (> 60 years old), "living at home", medication preparation not performed by patient, medication-intake difficulties, number of sources consulted, MR duration, presence of a high-risk drug and the number of home medications were associated with UMDs. In the multivariate analysis, adjusted on the number of sources consulted, independent risk factors were "living at home" and the number of home medications. At admission to an internal medicine department, UMDs were frequent and associated with "living at home" and poly-medication. Our findings might help physicians to identify high-risk patients of UMDs since their admission.

Indexed as

Drug MonitoringAgedAged, 80 and overFemaleHospitalizationHumansInternal MedicineMaleMedication ErrorsMiddle AgedPatient AdmissionProspective StudiesRisk FactorsInternal medicine departmentMedication reconciliationUnintentional medication discrepancies

Identifiers

PMID34148179
OpenAlexW3177075102

What OpenQuestion holds

Textmetadata
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.