Evidence map›Paper›PMID 39858328›Full record

ArticleAntibiotics (Basel, Switzerland)2025

Logistic Stewardship: Supporting Antimicrobial Stewardship Programs Based on Antibiotics Goods Flow.

Bianca Leistner, Dominic Rauschning, Ralf Matthias Hagen, Franziska Srečec, Nico Tom Mutters, Ruth Weppler, Christina Mutschnik, Manuel Döhla

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Bianca LeistnerInstitute for Hygiene and Public Health, Medical Faculty, University of Bonn, Haus 33, 53113 Bonn, Germany.
Dominic RauschningClinic Ia of Internal Medicine, Bundeswehr Central Hospital Koblenz, 56070 Koblenz, Germany.
Ralf Matthias HagenDepartment XXI of Microbiology and Hospital Hygiene, Bundeswehr Central Hospital Koblenz, 56070 Koblenz, Germany.
Franziska SrečecDepartment XXI of Microbiology and Hospital Hygiene, Bundeswehr Central Hospital Koblenz, 56070 Koblenz, Germany.
Nico Tom MuttersInstitute for Hygiene and Public Health, Medical Faculty, University of Bonn, Haus 33, 53113 Bonn, Germany.ORCID 0000-0002-0156-9595
Ruth WepplerDepartment XXI of Microbiology and Hospital Hygiene, Bundeswehr Central Hospital Koblenz, 56070 Koblenz, Germany.
Christina MutschnikDepartment XXIV of Hospital Pharmacy, Bundeswehr Central Hospital Koblenz, 56070 Koblenz, Germany.
Manuel DöhlaInstitute for Hygiene and Public Health, Medical Faculty, University of Bonn, Haus 33, 53113 Bonn, Germany.ORCID 0000-0001-8029-5264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesAntimicrobial resistance is a global threat to safe health care, and a reduction in antibiotic consumption seems to be an appropriate preventive measure. In Germany, the reporting of hospital antibiotics consumption to an independent institution is only voluntary. Although a high level of willingness to improve can be assumed in the case of participation, the median consumptions of reporting hospitals change only slightly. This study examines the question of whether the logistical consumption figures adequately reflect real consumption, and if not, how to optimize the use of logistical data for clinical decisions.

methodsFour selected wards were analyzed during six months. A retrospective analysis of patient case files was performed to receive "prescribed daily doses" (PDDs). These were compared to "defined daily doses" (DDDs) from logistical data. Additional inventories were performed to calculated stored antibiotics. Antibiotics goods flows were presented via waterfall diagrams to identify logistic patterns that could explain PDD/DDD quotients. Antimicrobial stewardship (AMS) quality indicators were analyzed to give advice for optimized clinical AMS measures.

resultsThe total PDD/DDD quotient was 0.69. Four logistical patterns were identified. Optimized prophylaxis, AMS consultations and reevaluation of therapy seem to be the most useful measures to reduce PDDs.

conclusionsIf AMS programs rely solely on DDDs, measures cannot be optimal. A complete consideration of antibiotic goods flows supports clinical decisions, but is very costly in terms of data collection. The consideration of logistical data can help to identify areas of focus for AMS programs. Therefore, specialists of antibiotics logistics should complement clinical AMS teams.

Indexed as

antibiotic consumptionantibiotic resistanceantimicrobial stewardshipclinical decision makingdefined daily doseinfection controlprescribed daily dosequality indicatorsurveillance

Identifiers

PMID39858328
PMCPMC11761244

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