Evidence map›Paper›PMID 35247982›Full record

Observational studyBMC emergency medicine2022

Prescribing errors in post - COVID-19 patients: prevalence, severity, and risk factors in patients visiting a post - COVID-19 outpatient clinic.

Rashudy F Mahomedradja, Tessa O van den Beukel, Maaike van den Bos, Steven Wang, Kirsten A Kalverda, Birgit I Lissenberg-Witte, Marianne A Kuijvenhoven, Esther J Nossent, Majon Muller, Kim C E Sigaloff and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMC emergency medicine, 2022. 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
–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

5 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

12 authors.

Rashudy F Mahomedradja *Department of Internal Medicine, Section Pharmacotherapy, Amsterdam UMC location VUmc, Amsterdam, The Netherlands. r.mahomedradja@amsterdamumc.nl.
Tessa O van den Beukel *Department of Internal Medicine, Section Pharmacotherapy, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Maaike van den BosDepartment of Internal Medicine, Section Pharmacotherapy, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Steven WangDepartment of Internal Medicine, Section Pharmacotherapy, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Kirsten A KalverdaDepartment of Pulmonary Medicine, Amsterdam UMC location AMC and location VUmc, Amsterdam, The Netherlands.
Birgit I Lissenberg-WitteDepartment of Epidemiology and Data Science, Amsterdam UMC location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Marianne A KuijvenhovenDepartment of Clinical Pharmacology and Pharmacy, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Esther J NossentDepartment of Pulmonary Medicine, Amsterdam UMC location AMC and location VUmc, Amsterdam, The Netherlands.
Majon MullerDepartment of Internal Medicine, Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands.
Kim C E SigaloffDepartment of Internal Medicine, Section Pharmacotherapy, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Jelle TichelaarDepartment of Internal Medicine, Section Pharmacotherapy, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Michiel A van AgtmaelDepartment of Internal Medicine, Section Pharmacotherapy, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has challenged healthcare globally. An acute increase in the number of hospitalized patients has necessitated a rigorous reorganization of hospital care, thereby creating circumstances that previously have been identified as facilitating prescribing errors (PEs), e.g. a demanding work environment, a high turnover of doctors, and prescribing beyond expertise. Hospitalized COVID-19 patients may be at risk of PEs, potentially resulting in patient harm. We determined the prevalence, severity, and risk factors for PEs in post-COVID-19 patients, hospitalized during the first wave of COVID-19 in the Netherlands, 3 months after discharge.

methodsThis prospective observational cohort study recruited patients who visited a post-COVID-19 outpatient clinic of an academic hospital in the Netherlands, 3 months after COVID-19 hospitalization, between June 1 and October 1 2020. All patients with appointments were eligible for inclusion. The prevalence and severity of PEs were assessed in a multidisciplinary consensus meeting. Odds ratios (ORs) were calculated by univariate and multivariate analysis to identify independent risk factors for PEs.

resultsNinety-eight patients were included, of whom 92% had ≥1 PE and 8% experienced medication-related harm requiring an immediate change in medication therapy to prevent detoriation. Overall, 68% of all identified PEs were made during or after the COVID-19 related hospitalization. Multivariate analyses identified ICU admission (OR 6.08, 95% CI 2.16-17.09) and a medical history of COPD / asthma (OR 5.36, 95% CI 1.34-21.5) as independent risk factors for PEs.

conclusionsPEs occurred frequently during the SARS-CoV-2 pandemic. Patients admitted to an ICU during COVID-19 hospitalization or who had a medical history of COPD / asthma were at risk of PEs. These risk factors can be used to identify high-risk patients and to implement targeted interventions. Awareness of prescribing safely is crucial to prevent harm in this new patient population.

Indexed as

COVID-19Ambulatory Care FacilitiesHospitalizationHumansPrevalenceProspective StudiesRisk FactorsSARS-CoV-2Clinical pharmacologyCOVID-19Pharmacotherapeutic stewardshipPrescribing errors

Identifiers

PMID35247982
PMCPMC8897739

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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.