The COVID-19 Pandemic as an Opportunity and Challenge for Registries in Health Services Research : Lessons Learned from the Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS)
Thieme. All rights reserved..
OBJECTIVE: The Coronavirus Disease-2019 (COVID-19) pandemic has brought opportunities and challenges, especially for health services research based on routine data. In this article we will demonstrate this by presenting lessons learned from establishing the currently largest registry in Germany providing a detailed clinical dataset on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infected patients: the Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS).
METHODS: LEOSS is based on a collaborative and integrative research approach with anonymous recruitment and collection of routine data and the early provision of data in an open science context. The only requirement for inclusion was a SARS-CoV-2 infection confirmed by virological diagnosis. Crucial strategies to successfully realize the project included the dynamic reallocation of available staff and technical resources, an early and direct involvement of data protection experts and the ethics committee as well as the decision for an iterative and dynamic process of improvement and further development.
RESULTS: Thanks to the commitment of numerous institutions, a transsectoral and transnational network of currently 133 actively recruiting sites with 7,227 documented cases could be established (status: 18.03.2021). Tools for data exploration on the project website, as well as the partially automated provision of datasets according to use cases with varying requirements, enabled us to utilize the data collected within a short period of time. Data use and access processes were carried out for 97 proposals assigned to 27 different research areas. So far, nine articles have been published in peer-reviewed international journals.
CONCLUSION: As a collaborative effort of the whole network, LEOSS developed into a large collection of clinical data on COVID-19 in Germany. Even though in other international projects, much larger data sets could be analysed to investigate specific research questions through direct access to source systems, the uniformly maintained and technically verified documentation standard with many discipline-specific details resulted in a large valuable data set with unique characteristics. The lessons learned while establishing LEOSS during the current pandemic have already created important implications for the design of future registries and for pandemic preparedness and response.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:83 |
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| Enthalten in: |
Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) - 83(2021), S 01 vom: 26. Nov., Seite S45-S53 |
| Sprache: |
Deutsch |
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| Weiterer Titel: |
Die COVID-19 Pandemie als Herausforderung und Chance für Register in der Versorgungsforschung: Erfahrungen aus Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS) |
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| Beteiligte Personen: |
Pilgram, Lisa [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 05.11.2021 Date Revised 28.04.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1055/a-1655-8705 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM332700151 |
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| 100 | 1 | |a Pilgram, Lisa |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The COVID-19 Pandemic as an Opportunity and Challenge for Registries in Health Services Research |b Lessons Learned from the Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS) |
| 246 | 3 | 3 | |a Die COVID-19 Pandemie als Herausforderung und Chance für Register in der Versorgungsforschung: Erfahrungen aus Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS) |
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| 500 | |a Date Revised 28.04.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Thieme. All rights reserved. | ||
| 520 | |a OBJECTIVE: The Coronavirus Disease-2019 (COVID-19) pandemic has brought opportunities and challenges, especially for health services research based on routine data. In this article we will demonstrate this by presenting lessons learned from establishing the currently largest registry in Germany providing a detailed clinical dataset on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infected patients: the Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS) | ||
| 520 | |a METHODS: LEOSS is based on a collaborative and integrative research approach with anonymous recruitment and collection of routine data and the early provision of data in an open science context. The only requirement for inclusion was a SARS-CoV-2 infection confirmed by virological diagnosis. Crucial strategies to successfully realize the project included the dynamic reallocation of available staff and technical resources, an early and direct involvement of data protection experts and the ethics committee as well as the decision for an iterative and dynamic process of improvement and further development | ||
| 520 | |a RESULTS: Thanks to the commitment of numerous institutions, a transsectoral and transnational network of currently 133 actively recruiting sites with 7,227 documented cases could be established (status: 18.03.2021). Tools for data exploration on the project website, as well as the partially automated provision of datasets according to use cases with varying requirements, enabled us to utilize the data collected within a short period of time. Data use and access processes were carried out for 97 proposals assigned to 27 different research areas. So far, nine articles have been published in peer-reviewed international journals | ||
| 520 | |a CONCLUSION: As a collaborative effort of the whole network, LEOSS developed into a large collection of clinical data on COVID-19 in Germany. Even though in other international projects, much larger data sets could be analysed to investigate specific research questions through direct access to source systems, the uniformly maintained and technically verified documentation standard with many discipline-specific details resulted in a large valuable data set with unique characteristics. The lessons learned while establishing LEOSS during the current pandemic have already created important implications for the design of future registries and for pandemic preparedness and response | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Schons, Maximilian |e verfasserin |4 aut | |
| 700 | 1 | |a Jakob, Carolin E M |e verfasserin |4 aut | |
| 700 | 1 | |a Claßen, Annika Y |e verfasserin |4 aut | |
| 700 | 1 | |a Franke, Bernd |e verfasserin |4 aut | |
| 700 | 1 | |a Tscharntke, Lene |e verfasserin |4 aut | |
| 700 | 1 | |a Schulze, Nick |e verfasserin |4 aut | |
| 700 | 1 | |a Fuhrmann, Sandra |e verfasserin |4 aut | |
| 700 | 1 | |a Sauer, Gabriel |e verfasserin |4 aut | |
| 700 | 1 | |a de Miranda, Susana M Nunes |e verfasserin |4 aut | |
| 700 | 1 | |a Prasser, Fabian |e verfasserin |4 aut | |
| 700 | 1 | |a Stecher, Melanie |e verfasserin |4 aut | |
| 700 | 1 | |a Vehreschild, Jörg J |e verfasserin |4 aut | |
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