Evidence map›Paper›PMID 26511945›Full record

ArticleInternational journal of clinical pharmacy2016

Analysis of drug-related problems in three departments of a German University hospital.

Rebekka Lenssen, Axel Heidenreich, Jörg B Schulz, Christian Trautwein, Christina Fitzner, Ulrich Jaehde, Albrecht Eisert

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Article in International journal of clinical pharmacy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
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39citing papers in PubMed, 2 pooled it
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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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  6. Assessment of potential drug interactions in rheumatology: a comparative study of decision support software.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
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  14. Consensus methodology to investigate the crucial referral criteria to pharmacist-led counseling clinics in Makkah City.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
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4 · The record

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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

7 authors.

Rebekka LenssenHospital Pharmacy, University Hospital RWTH Aachen, Steinbergweg 20, 52074, Aachen, Germany. rlenssen@ukaachen.de.
Axel HeidenreichDepartment of Urology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Jörg B SchulzDepartment of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Christian TrautweinDepartment of Internal Medicine III, Gastroenterology, Metabolic Disorders and Internal Intensive Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Christina FitznerDepartment of Medical Statistics, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.
Ulrich JaehdeInstitute of Pharmacy, Clinical Pharmacy, University of Bonn, An der Immenburg 4, 53121, Bonn, Germany.
Albrecht EisertHospital Pharmacy, University Hospital RWTH Aachen, Steinbergweg 20, 52074, Aachen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the last decades, pharmaceutical care services have been developed and implemented to optimize drug therapies and ensure medication safety. To investigate the need for pharmaceutical care services, drug-related problems can be measured.

objectiveThus, the aim of this study was to analyse number, type and occurrence of drug-related problems in different clinical departments.

settingA pharmaceutical care service was established on general wards in Urology, Neurology and Gastroenterology at the University Hospital RWTH Aachen, Germany.

methodFor each of a total of 306 patients, a pharmacist conducted an extended medication history, performed medication reconciliation, conducted medication safety checks and if drug-related problems were discovered, gave valid recommendations to the attending healthcare team. Drug-related problems were classified using the APS-Doc system. For statistical analyses, SAS(®) 9.1.3, SAS Institute, Cary NC, USA was applied. The project was approved by the local ethics committee.

main outcome measureType, occurrence and frequency of DRP in different medical departments.

resultsOn average, 2.3 drug-related problems per patient were documented for all three departments. Drug-related problems were found in each category of the APS-Doc system. The most pronounced drug-related problems found were drug-drug interactions (34.6 %). 37 % of the identified drug-related problems occurred before hospital admission, 27 % during transitional care, and 36 % on the ward. Subgroup analysis revealed specific drug-related problem patterns for each clinical department. The number of drug-related problems was found to be associated with the number of drugs and age.

conclusionDrug-related problems frequently occur in all investigated clinical departments. A holistic pharmaceutical care service could be an option to address this issue. In case of limited resources, individual drug-related problem patterns can be used as a basis for a tailored pharmaceutical care service. As number of drugs and age have been shown to be significant risk factors, it is crucial that the healthcare team including the pharmacist pays special attention to elderly patients and those with polymedication.

Indexed as

GastroenterologyHospitals, UniversityMedication ReconciliationMedication Therapy ManagementNeurologyPharmacy Service, HospitalUrology Department, HospitalAdverse Drug Reaction Reporting SystemsAgedAged, 80 and overAge FactorsCooperative BehaviorDrug InteractionsDrug-Related Side Effects and Adverse ReactionsFemaleGermanyDrug-related problemsGastroenterologyGermanyMedication safetyNeurologyPharmaceutical careUrologyWard-based pharmacist

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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.