Evidence map›Paper›PMID 40233949›Full record

ArticleBMJ open2025

Implementation of an electronic medication management support system in hospitalised polypharmacy patients: study protocol of a stepped-wedge cluster-randomised controlled trial (TOP study).

Sarah Meyer, Sara Söling, David Lampe, Adriana Poppe, Raphaele Bartels, Daniel Grandt, Christoph Klaas, Adda Dumröse, Katrin Christiane Reber, Wolfgang Greiner and 4 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Sarah MeyerCenter for Health Economics and Health Services Research, University of Wuppertal, Wuppertal, North Rhine-Westphalia, Germany sarah.meyer@wiwi.uni-wuppertal.de.ORCID http://orcid.org/0009-0006-3920-4424
Sara SölingCenter for Health Economics and Health Services Research, University of Wuppertal, Wuppertal, North Rhine-Westphalia, Germany.ORCID http://orcid.org/0000-0002-0752-358X
David LampeDepartment of Health Economics and Health Care Management. School of Public Health, Bielefeld University, Bielefeld, North Rhine-Westphalia, Germany.ORCID http://orcid.org/0000-0003-3400-0861
Adriana PoppePMV Research Group, Medical Faculty and University Hospital Cologne, University of Cologne, Köln, North Rhine-Westphalia, Germany.
Raphaele BartelsChair of Management in Healthcare, Schumpeter School of Business and Economics, University of Wuppertal, Wuppertal, North Rhine-Westphalia, Germany.
Daniel GrandtDepartment of Internal Medicine, Klinikum Saarbrucken gGmbH, Saarbrücken, Saarland, Germany.
Christoph KlaasDepartment of Pharmacy, University Hospital Münster, Münster, North Rhine-Westphalia, Germany.
Adda DumröseDepartment of Digital Care/Prevention, BARMER, Wuppertal, North Rhine-Westphallia, Germany.
Katrin Christiane ReberHealthcare Management/Strategic Analyses, AOK Nordost - Die Gesundheitskasse, Berlin, Germany.
Wolfgang GreinerDepartment of Health Economics and Health Care Management. School of Public Health, Bielefeld University, Bielefeld, North Rhine-Westphalia, Germany.
Peter IhlePMV Research Group, Medical Faculty and University Hospital Cologne, University of Cologne, Köln, North Rhine-Westphalia, Germany.
Ingo MeyerPMV Research Group, Medical Faculty and University Hospital Cologne, University of Cologne, Köln, North Rhine-Westphalia, Germany.ORCID http://orcid.org/0000-0001-8515-8285
Juliane Köberlein-NeuCenter for Health Economics and Health Services Research, University of Wuppertal, Wuppertal, North Rhine-Westphalia, Germany.ORCID http://orcid.org/0000-0002-3451-7847
TOP study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPolypharmacy is associated with an increased risk of adverse patient outcomes across various settings, including inpatient care. To enhance the appropriateness of medication therapy management for patients during hospital stays, computerised interventions have shown promise with regard to patient safety. This study assesses whether the implementation of a clinical decision support system will optimise the process of inpatient medication therapy to prevent inappropriate medication use and thus promote patient safety. METHODS AND ANALYSIS: The intervention will be evaluated in a prospective, cluster-randomised controlled trial using a stepped-wedge design. The study will be conducted in 12 hospitals across Germany over a total period of 33 months. Patients will be treated according to the group status of the hospital and receive either standard care or the ETHICS AND DISSEMINATION: Data collection, storage and evaluation meet all applicable data protection regulations. The trial has been approved by the Ethics Committees of the University of Wuppertal and the Medical Association of Saarland, Germany. Results will be disseminated through workshops, peer-reviewed publications and local and international conferences. TRIAL REGISTRATION NUMBER: DRKS00025485.

Indexed as

Decision Support Systems, ClinicalHospitalizationInappropriate PrescribingMedication Therapy ManagementPolypharmacyGermanyHumansPatient SafetyProspective StudiesRandomized Controlled Trials as TopicClinical Decision-MakingHealth & safetyHospitalsMedication ReviewPolypharmacyRandomized Controlled Trial

Identifiers

PMID40233949
PMCPMC12001353

What OpenQuestion holds

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LicenceCC BY-NC
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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.