Relationships between medications used in a mental health hospital and types of medication errors: A cross-sectional study over an 8-year period.

Cross-sectional study Medication error Odds ratio Psychiatric hospital Risk management

Journal

Research in social & administrative pharmacy : RSAP
ISSN: 1934-8150
Titre abrégé: Res Social Adm Pharm
Pays: United States
ID NLM: 101231974

Informations de publication

Date de publication:
20 Mar 2024
Historique:
received: 27 09 2023
revised: 28 02 2024
accepted: 12 03 2024
medline: 27 3 2024
pubmed: 27 3 2024
entrez: 26 3 2024
Statut: aheadofprint

Résumé

Particularities in psychiatry care can increase the risk of medication errors (MEs). To analyze the MEs that occurred in a psychiatric hospital and to quantify relationships between the use of certain types of medication and the type of MEs. We conducted a retrospective register based cross-sectional study in a French psychiatric hospital (2014-2021). All MEs were analyzed using ALARM method to identify type, stage of occurring and interception (defenses), consequences, drug involved and root causes. The prevalence-odds ratio (POR) was calculated to estimate relationships between five selected medication situations (long-acting injectable antipsychotics (LAIA), oral liquid dosage forms in a multiple-unit-container (OLDS-MC), psychotropic drugs (PD), controlled medicines (CM) or high-alert drugs) and the type of MEs occurred. Among the 609 MEs reported, wrong dose (32.2%), wrong drug (30.3%), omission (14.2%) and wrong patient (12.9%) were frequently observed. The ME occurrence stage were prescribing (55.3%) and administration (30.2%). Medication order review intercepted 77.9% of MEs. CM or LAIA increased the risk of medication omission (POR: 3.9, 95%CI: 1.8-8.4 and 2.5, 95%CI; 1.2-5.1, respectively) while the use of high-alert medications decreased it (0.2, 95%CI: 0.1-0.8). OLDS-MC and PD were more likely to be administered to the wrong patient (6.1, 95%CI: 3.3-11.4 and 16.1, 95%CI: 7.2-35.8). LAIA were associated with an increased risk of wrong dose (3.4, 95%CI: 1.8-6.3). Actual errors risk was lower with high-alert drugs (0.5, 95%CI: 0.3-09), but higher with CM (3.5, 95%CI: 1.5-8.0), OLDS-MC (2.1, 95%CI: 1.2-3.8) and PD (2.5, 95%CI: 1.8-3.5). Patients exposed to high-alert drugs were likely to have a serious error (3.5, 95%CI: 1.2-10.4). This study sheds an innovative approach to analyze MEs by demonstrating that certain medication situations were more likely to lead to certain types of error. This enables the most appropriate prevention barriers to be put in place to intercept ME.

Sections du résumé

BACKGROUND BACKGROUND
Particularities in psychiatry care can increase the risk of medication errors (MEs).
OBJECTIVE OBJECTIVE
To analyze the MEs that occurred in a psychiatric hospital and to quantify relationships between the use of certain types of medication and the type of MEs.
METHODS METHODS
We conducted a retrospective register based cross-sectional study in a French psychiatric hospital (2014-2021). All MEs were analyzed using ALARM method to identify type, stage of occurring and interception (defenses), consequences, drug involved and root causes. The prevalence-odds ratio (POR) was calculated to estimate relationships between five selected medication situations (long-acting injectable antipsychotics (LAIA), oral liquid dosage forms in a multiple-unit-container (OLDS-MC), psychotropic drugs (PD), controlled medicines (CM) or high-alert drugs) and the type of MEs occurred.
RESULTS RESULTS
Among the 609 MEs reported, wrong dose (32.2%), wrong drug (30.3%), omission (14.2%) and wrong patient (12.9%) were frequently observed. The ME occurrence stage were prescribing (55.3%) and administration (30.2%). Medication order review intercepted 77.9% of MEs. CM or LAIA increased the risk of medication omission (POR: 3.9, 95%CI: 1.8-8.4 and 2.5, 95%CI; 1.2-5.1, respectively) while the use of high-alert medications decreased it (0.2, 95%CI: 0.1-0.8). OLDS-MC and PD were more likely to be administered to the wrong patient (6.1, 95%CI: 3.3-11.4 and 16.1, 95%CI: 7.2-35.8). LAIA were associated with an increased risk of wrong dose (3.4, 95%CI: 1.8-6.3). Actual errors risk was lower with high-alert drugs (0.5, 95%CI: 0.3-09), but higher with CM (3.5, 95%CI: 1.5-8.0), OLDS-MC (2.1, 95%CI: 1.2-3.8) and PD (2.5, 95%CI: 1.8-3.5). Patients exposed to high-alert drugs were likely to have a serious error (3.5, 95%CI: 1.2-10.4).
CONCLUSIONS CONCLUSIONS
This study sheds an innovative approach to analyze MEs by demonstrating that certain medication situations were more likely to lead to certain types of error. This enables the most appropriate prevention barriers to be put in place to intercept ME.

Identifiants

pubmed: 38531707
pii: S1551-7411(24)00092-5
doi: 10.1016/j.sapharm.2024.03.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Robin Lebas (R)

Faculty of Health, Department of Pharmacy, Limoges, France; Esquirol Hospital, Pharmacy, Limoges, France. Electronic address: robin.lebas14@gmail.com.

Benjamin Calvet (B)

INSERM U1094, IRD U270, University Limoges, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, Omega Health, Limoges, France; Department of Geriatric Psychiatry, Esquirol Hospital, Limoges, France. Electronic address: benjamin.calvet@ch-esquirol-limoges.fr.

Laurence Schadler (L)

Esquirol Hospital, Pharmacy, Limoges, France. Electronic address: laurence.schadler@ch-esquirol-limoges.fr.

Pierre-Marie Preux (PM)

Inserm U1094, IRD U270, Univ. Limoges, CHU Limoges, Limoges, 87042, France; EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France. Electronic address: pierre-marie.preux@unilim.fr.

Marie-Laure Laroche (ML)

Centre of Pharmacovigilance and Pharmacoepidemiology, Department of Pharmacology-Toxicology and Centre of Pharmacovigilance, University Hospital of Limoges, France; UR24134 (Vieillissement, Fragilité, Prévention, e-Santé), Institut Omega Health, University of Limoges, Limoges, France. Electronic address: marie-laure.laroche@unilim.fr.

Classifications MeSH