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ORCID: https://orcid.org/0000-0001-5324-981X; Kreuzberger, Nina
ORCID: https://orcid.org/0000-0001-8922-0488; Laudi, Sven; Lichtner, Gregor
ORCID: https://orcid.org/0000-0002-5890-1958; Lieb, Klaus; Maun, Andy
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ORCID: https://orcid.org/0000-0002-4318-8846; Skoetz, Nicole
ORCID: https://orcid.org/0000-0003-4744-6192 und Meerpohl, Joerg J.
(2024):
Informing pandemic management in Germany with trustworthy living evidence syntheses and guideline development: lessons learned from the COVID-19 evidence ecosystem.
In: Journal of Clinical Epidemiology, Bd. 173, 111456
[PDF, 1MB]

Abstract
Objectives: We present the ‘COVID-19 evidence ecosystem’ (CEOsys) as a German network to inform pandemic management and to support clinical and public health decision-making. We discuss challenges faced when organizing the ecosystem and derive lessons learned for similar networks acting during pandemics or health-related crises. Study Design and Setting: Bringing together 18 university hospitals and additional institutions, CEOsys key activities included research prioritization, conducting living systematic reviews (LSRs), supporting evidence-based (living) guidelines, knowledge translation (KT), detecting research gaps, and deriving recommendations, backed by technical infrastructure and capacity building. Results: CEOsys rapidly produced 31 high-quality evidence syntheses and supported three living guidelines on COVID-19-related topics, while also developing methodological procedures. Challenges included CEOsys’ late initiation in relation to the pandemic outbreak, the delayed prioritization of research questions, the continuously evolving COVID-19-related evidence, and establishing a technical infra-structure. Methodological-clinical tandems, the cooperation with national guideline groups and international collaborations were key for efficiency. Conclusion: CEOsys provided a proof-of-concept for a functioning evidence ecosystem at the national level. Lessons learned include that similar networks should, among others, involve methodological and clinical key stakeholders early on, aim for (inter)national collab-orations, and systematically evaluate their value. We particularly call for a sustainable network.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin > Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
URN: | urn:nbn:de:bvb:19-epub-122642-8 |
ISSN: | 08954356 |
Sprache: | Englisch |
Dokumenten ID: | 122642 |
Datum der Veröffentlichung auf Open Access LMU: | 22. Nov. 2024 12:49 |
Letzte Änderungen: | 22. Nov. 2024 12:49 |