Evidence map›Paper›PMID 41324620›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2026

[Bridging research and practice in public health services: lessons learned from the EvidenzOGD trainee rotation program].

Laura Arnold, Simon Bimczok, Nico Dragano, Simon Götz, Anke Kietzmann, Michael Schäfer, Hannah Schütt, Max Skorning, Franziska Vosseberg, Simone Weyers and 2 more

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Laura ArnoldAkademie für Öffentliches Gesundheitswesen, Düsseldorf, Nordrhein-Westfalen, Deutschland. laura.arnold@uni-duesseldorf.de.ORCID http://orcid.org/0000-0002-2573-3644
Simon BimczokAkademie für Öffentliches Gesundheitswesen, Düsseldorf, Nordrhein-Westfalen, Deutschland.ORCID http://orcid.org/0009-0001-0009-265X
Nico DraganoInstitut für Medizinische Soziologie, Centre for Health and Society, Medizinische Fakultät und Universitätsklinikum, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.ORCID http://orcid.org/0000-0002-0378-0757
Simon GötzInstitut für Medizinische Soziologie, Centre for Health and Society, Medizinische Fakultät und Universitätsklinikum, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.ORCID http://orcid.org/0000-0002-4791-2432
Anke KietzmannGesundheitsamt der Landeshauptstadt Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Deutschland.ORCID http://orcid.org/0009-0007-0924-4449
Michael SchäferGesundheitsamt der Landeshauptstadt Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Deutschland.
Hannah SchüttAkademie für Öffentliches Gesundheitswesen, Düsseldorf, Nordrhein-Westfalen, Deutschland.ORCID http://orcid.org/0009-0000-0816-5457
Max SkorningGesundheitsamt der Landeshauptstadt Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Deutschland.
Franziska VossebergAkademie für Öffentliches Gesundheitswesen, Düsseldorf, Nordrhein-Westfalen, Deutschland.ORCID http://orcid.org/0009-0006-2169-4269
Simone WeyersInstitut für Medizinische Soziologie, Centre for Health and Society, Medizinische Fakultät und Universitätsklinikum, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.ORCID http://orcid.org/0000-0003-4759-1939
Dagmar StarkeAkademie für Öffentliches Gesundheitswesen, Düsseldorf, Nordrhein-Westfalen, Deutschland.ORCID http://orcid.org/0000-0002-3773-8960
für das EvidenzÖGD Projektkonsortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA science-based approach in local public health services (PHS) requires robust structures both for generating practice-relevant research and for integrating this knowledge into routine public health practice. To strengthen this interface, an academia-practice research consortium developed, piloted, and evaluated the part-time trainee-rotation program "EvidenzOGD."

methodsThe formative process evaluation of the six-month pilot was guided by a theory-based logic model and employed a mixed-methods design, including document analysis, standardized online surveys, and workshops. Findings were synthesized using method and data triangulation.

resultsTrainees and mentors reported substantial gains in competencies and identified impulses for anchoring sustainable evidence transfer. At the institutional level, new forms of cooperation and structural developments were initiated. At the same time, several areas for improvement emerged, including an overly short rotation period, high documentation workload, unclear role expectations, and coordination challenges. These issues were systematically addressed, leading to adaptations of key program components, such as the rotation structure, the implementation of a unified logbook, the expansion of the training modules, and the improved integration of the trainee research project. DISCUSSION: The program is considered a promising approach to promoting evidence-informed practice and strengthening institutional cooperation within the PHS. Its modular structure allows for flexible implementation in different local contexts. Future research should explore its long-term effects on competency development and the institutionalization of evidence-based approaches.

Indexed as

Health Services ResearchPublic HealthCurriculumGermanyHumansProgram EvaluationEducationEvidence-based practicePublic healthPublic health administrationTranslational Science, Biomedical

Identifiers

PMID41324620
PMCPMC12764494

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.