Evidence map›Paper›PMID 41665671›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2026

[Quality management in research-the perspective of research teams].

Sophia Sohns, Janine Kleymann-Hilmes

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sophia SohnsRobert Koch-Institut, Forschungskoordination, Nordufer 20, 13353, Berlin, Deutschland. BruenschwitzS@rki.de.
Janine Kleymann-HilmesRobert Koch-Institut, Forschungskoordination, Nordufer 20, 13353, Berlin, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionResearchers are divided on quality management systems (QMS) in research laboratories-there are supporters and critics. Supporters use various quality management (QM) theories and emphasize advantages such as resource-saving added value. Critics, on the other hand, doubt their usefulness and feasibility. The aim of this study is to provide an objective assessment of the advantages and disadvantages of a QMS in research laboratories based on employee experiences.

methodsThe Robert Koch Institute and its cooperation partners introduced a QMS in pilot research laboratories or used existing systems. Employees were surveyed between 2023 and 2025 before and after the QMS implementation using specially developed questionnaires.

resultsThe advantages of a QMS include improved documentation and reproducibility, optimized processes, increased quality awareness, and better collaboration. These are offset by disadvantages such as increased time and effort, the risk of overregulation, potential restrictions on creative freedom, difficult behavioral changes, limited influence on team culture, and the risk of "organizational blindness." Changes in employee knowledge, actions, and attitudes were already evident in the short term. The majority support QM measures after testing them and recommend them. DISCUSSION: Research laboratories require flexible QMS that respond to individual needs. Measures should be developed jointly within the team and implemented specifically where they increase efficiency. The commitment of all those involved and a balanced relationship between effort and benefit are crucial, as excessive regulation has a hindering effect.

Indexed as

Total Quality ManagementGermanyModels, OrganizationalEmployee surveysGood scientific practiceResearch laboratoriesResearch qualitySaving resources

Identifiers

PMID41665671
PMCPMC12957627

What OpenQuestion holds

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LicenceCC BY
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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.