Evidence map›Paper›PMID 33051958›Full record

ArticlePharmacoepidemiology and drug safety2020

Prevalence and incidence rate of hospital admissions related to medication between 2008 and 2013 in The Netherlands.

Fouzia Lghoul-Oulad Saïd, Karin Hek, Linda E Flinterman, Ron Mc Herings, Margaretha F Warlé-van Herwaarden, Sandra de Bie, Vera E Valkhoff, Jelmer Alsma, Mees Mosseveld, Ann M Vanrolleghem and 4 more

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

Fouzia Lghoul-Oulad SaïdDivision of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Gorlaeus Laboratories, Leiden University, Leiden, The Netherlands.ORCID 0000-0001-7518-4236
Karin HekNivel, Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
Linda E FlintermanNivel, Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
Ron Mc HeringsPHARMO Institute for Drug Outcomes Research, Utrecht, The Netherlands.
Margaretha F Warlé-van HerwaardenPharmacy Groesbeek, Groesbeek, The Netherlands.
Sandra de BieDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
Vera E ValkhoffDepartment of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Jelmer AlsmaDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
Mees MosseveldDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Ann M VanrolleghemDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Bruno Hch StrickerDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Miriam Cjm SturkenboomDepartment of Epidemiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Peter Agm De SmetDepartments of IQ healthcare and of clinical pharmacy, Radboud university medical centre, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
Patricia Mla van den BemtDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn 2009 a Dutch guideline was published containing recommendations to reduce Hospital Admissions Related to Medications (HARMs). This study aims to examine time-trends of HARMs and their potential preventability between 2008 and 2013 in The Netherlands.

methodsA retrospective prevalence study was conducted using the Dutch PHARMO Database Network. A semi-automated pre-selection was used to make a crude identification of possible HARMs of which four samples were selected. These were independently assessed with respect to causality and potential preventability by a physician and pharmacist. The results were stratified by age into 18-64 years and 65 years and older. For these groups the net prevalences and incidence rates of HARMs and potentially preventable HARMs were calculated for the years 2008, 2009, 2011 and 2013.

resultsFour samples of 467 (2008), 447 (2009), 446 (2011) and 408 (2013) admissions were assessed. The net prevalence of HARMs in the 18-64 years group was approximately four times smaller compared to the older group with a mean prevalence of 2.7% (95% confidence interval [CI]:2.4%-3.0%) and 10.2% (95%CI: 9.7%-10.7%) respectively. The potential preventability was 25.1% (18.4%-31.8%) and 48.3% (95%CI: 44.8%-51.8%), respectively. The prevalence of HARMs in both groups did not change significantly between 2008 and 2013 with 2.4% (95%CI: 1.9%-3.0%) and 10.0% (95%CI: 9.0%-11.0%) in 2008 and 3.1% (2.7%-3.5%) and 10.4% (95%CI: 9.4%-11.4%) in 2013, respectively.

conclusionDespite efforts to reduce HARMs, the prevalence did not decrease over time. Additional measures are therefore necessary, especially in the elderly population.

Indexed as

Drug-Related Side Effects and Adverse ReactionsAdolescentAdultAgedHospitalizationHospitalsHumansIncidenceMiddle AgedNetherlandsPrevalenceRetrospective StudiesYoung Adultadverse drug reactionsdrug-relatedhospitalizationincidencepharmacoepidemiologyprevalenceside effects

Identifiers

PMID33051958
PMCPMC7756305

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Registered trials

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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.