MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.jclinepi.2024.111456

Медицинская библиотека · Journal of clinical epidemiology · 2024

Informing pandemic management in Germany with trustworthy living evidence syntheses and guideline development: lessons learned from the COVID-19 evidence ecosystem.

Kunzler Angela M, Iannizzi Claire, Burns Jacob, Metzendorf Maria-Inti, Voigt-Radloff Sebastian, Piechotta Vanessa, Schmaderer Christoph, Holzmann-Littig Christopher, Balzer Felix, Benstoem Carina, Binder Harald, Boeker Martin, Dirnagl Ulrich, Fichtner Falk, Golinski Martin, Grundmann Hajo, Hengel Hartmut, Jabs Jonas, Kern Winfried V, Kopp Ina, Kranke Peter, Kreuzberger Nina, Laudi Sven, Lichtner Gregor, Lieb Klaus, Maun Andy, Moerer Onnen, Müller Anika, Mutters Nico T, Nothacker Monika, Pfadenhauer Lisa M, Popp Maria, Rüschemeyer Georg, Schmucker Christine, Schwingshackl Lukas, Spies Claudia, Steckelberg Anke, Stegemann Miriam, Strech Daniel, von Dincklage Falk, Weibel Stephanie, Wunderlich Maximilian Markus, Zöller Daniela, Rehfuess Eva, Skoetz Nicole, Meerpohl Joerg J, CEOsys Consortium

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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 infrastructure. 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 collaborations, and systematically evaluate their value. We particularly call for a sustainable network.

Для цитирования: Kunzler Angela M, Iannizzi Claire, Burns Jacob, Metzendorf Maria-Inti, Voigt-Radloff Sebastian, Piechotta Vanessa, Schmaderer Christoph, Holzmann-Littig Christopher, Balzer Felix, Benstoem Carina, Binder Harald, Boeker Martin, Dirnagl Ulrich, Fichtner Falk, Golinski Martin, Grundmann Hajo, Hengel Hartmut, Jabs Jonas, Kern Winfried V, Kopp Ina, Kranke Peter, Kreuzberger Nina, Laudi Sven, Lichtner Gregor, Lieb Klaus, Maun Andy, Moerer Onnen, Müller Anika, Mutters Nico T, Nothacker Monika, Pfadenhauer Lisa M, Popp Maria, Rüschemeyer Georg, Schmucker Christine, Schwingshackl Lukas, Spies Claudia, Steckelberg Anke, Stegemann Miriam, Strech Daniel, von Dincklage Falk, Weibel Stephanie, Wunderlich Maximilian Markus, Zöller Daniela, Rehfuess Eva, Skoetz Nicole, Meerpohl Joerg J, CEOsys Consortium. Informing pandemic management in Germany with trustworthy living evidence syntheses and guideline development: lessons learned from the COVID-19 evidence ecosystem.. Journal of clinical epidemiology. 2024. DOI: 10.1016/j.jclinepi.2024.111456.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.