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Manual für Methoden und Nutzung versorgungsnaher Daten zur Wissensgenerierung
ABSTRACT: “ There are more and more good reasons for using existing care data, with the focus in particular on the use of register data. The associated, clearly structured methodological procedure has so far been insufficiently combined, prepared and presented transparently. The German Network for H...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
© Georg Thieme Verlag KG
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661315/ https://www.ncbi.nlm.nih.gov/pubmed/32961567 http://dx.doi.org/10.1055/a-1237-4011 |
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author | Klinkhammer-Schalke, Monika Kaiser, Thomas Apfelbacher, Christian Benz, Stefan Dreinhöfer, Karsten E. Geraedts, Max Hauptmann, Michael Hoffmann, Falk Hoffmann, Wolfgang Koller, Michael Kostuj, Tanja Kowalski, Christoph Mugele, Katrin Ortmann, Olaf Schmitt, Jochen Schünemann, Holger Veit, Christof Wesselmann, Simone Bierbaum, Thomas |
author_facet | Klinkhammer-Schalke, Monika Kaiser, Thomas Apfelbacher, Christian Benz, Stefan Dreinhöfer, Karsten E. Geraedts, Max Hauptmann, Michael Hoffmann, Falk Hoffmann, Wolfgang Koller, Michael Kostuj, Tanja Kowalski, Christoph Mugele, Katrin Ortmann, Olaf Schmitt, Jochen Schünemann, Holger Veit, Christof Wesselmann, Simone Bierbaum, Thomas |
author_sort | Klinkhammer-Schalke, Monika |
collection | PubMed |
description | ABSTRACT: “ There are more and more good reasons for using existing care data, with the focus in particular on the use of register data. The associated, clearly structured methodological procedure has so far been insufficiently combined, prepared and presented transparently. The German Network for Health Services Research (DNVF) has therefore set up an ad hoc commission for the use of routine practice data (RWE/RWD). The rapid report prepared by IQWiG on the scientific development of concepts for “generation of care-related data and their evaluation for the purpose of benefit assessment of medicinal products according to § 35a SGB V” is an essential step for the use of register data for the generation of evidence. The “Memorandum Register – Update 2019” published by DNVF 2020 also describes the requirements and methodological foundations of registers. Best practice examples from oncology, which are based on the uniform oncological basic data set for clinical cancer registration (§ 65c SGB V), show, for example, that guidelines can be checked and recommendations for guidelines and necessary interventions can be derived in the sense of knowledge-generating health services research using register data. At the same time, however, there are no clear quality requirements and structured formal and content-related procedures in the areas of data consolidation, data verification and the use of specific methods depending on the question at hand. The previously inconsistent requirements are to be revised and a method guide for the use of suited data is to be developed and published. The first chapter of the manual on methods of care-related data explains the objective and structure of the manual. It explains why the use of the term “routine practice data” is more effective than the use of the terms Real Word Data (RWD) and Real World Evidence (RWE). By avoiding the term “real world” it should be emphasized in particular that high-quality research can also be based on routine practice data (e. g. register-based comparative studies). |
format | Online Article Text |
id | pubmed-7661315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | © Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-76613152020-11-16 Manual für Methoden und Nutzung versorgungsnaher Daten zur Wissensgenerierung Klinkhammer-Schalke, Monika Kaiser, Thomas Apfelbacher, Christian Benz, Stefan Dreinhöfer, Karsten E. Geraedts, Max Hauptmann, Michael Hoffmann, Falk Hoffmann, Wolfgang Koller, Michael Kostuj, Tanja Kowalski, Christoph Mugele, Katrin Ortmann, Olaf Schmitt, Jochen Schünemann, Holger Veit, Christof Wesselmann, Simone Bierbaum, Thomas Gesundheitswesen ABSTRACT: “ There are more and more good reasons for using existing care data, with the focus in particular on the use of register data. The associated, clearly structured methodological procedure has so far been insufficiently combined, prepared and presented transparently. The German Network for Health Services Research (DNVF) has therefore set up an ad hoc commission for the use of routine practice data (RWE/RWD). The rapid report prepared by IQWiG on the scientific development of concepts for “generation of care-related data and their evaluation for the purpose of benefit assessment of medicinal products according to § 35a SGB V” is an essential step for the use of register data for the generation of evidence. The “Memorandum Register – Update 2019” published by DNVF 2020 also describes the requirements and methodological foundations of registers. Best practice examples from oncology, which are based on the uniform oncological basic data set for clinical cancer registration (§ 65c SGB V), show, for example, that guidelines can be checked and recommendations for guidelines and necessary interventions can be derived in the sense of knowledge-generating health services research using register data. At the same time, however, there are no clear quality requirements and structured formal and content-related procedures in the areas of data consolidation, data verification and the use of specific methods depending on the question at hand. The previously inconsistent requirements are to be revised and a method guide for the use of suited data is to be developed and published. The first chapter of the manual on methods of care-related data explains the objective and structure of the manual. It explains why the use of the term “routine practice data” is more effective than the use of the terms Real Word Data (RWD) and Real World Evidence (RWE). By avoiding the term “real world” it should be emphasized in particular that high-quality research can also be based on routine practice data (e. g. register-based comparative studies). © Georg Thieme Verlag KG 2020-09 2020-09-22 /pmc/articles/PMC7661315/ /pubmed/32961567 http://dx.doi.org/10.1055/a-1237-4011 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/). https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Klinkhammer-Schalke, Monika Kaiser, Thomas Apfelbacher, Christian Benz, Stefan Dreinhöfer, Karsten E. Geraedts, Max Hauptmann, Michael Hoffmann, Falk Hoffmann, Wolfgang Koller, Michael Kostuj, Tanja Kowalski, Christoph Mugele, Katrin Ortmann, Olaf Schmitt, Jochen Schünemann, Holger Veit, Christof Wesselmann, Simone Bierbaum, Thomas Manual für Methoden und Nutzung versorgungsnaher Daten zur Wissensgenerierung |
title | Manual für Methoden und Nutzung versorgungsnaher Daten zur
Wissensgenerierung |
title_full | Manual für Methoden und Nutzung versorgungsnaher Daten zur
Wissensgenerierung |
title_fullStr | Manual für Methoden und Nutzung versorgungsnaher Daten zur
Wissensgenerierung |
title_full_unstemmed | Manual für Methoden und Nutzung versorgungsnaher Daten zur
Wissensgenerierung |
title_short | Manual für Methoden und Nutzung versorgungsnaher Daten zur
Wissensgenerierung |
title_sort | manual für methoden und nutzung versorgungsnaher daten zur
wissensgenerierung |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661315/ https://www.ncbi.nlm.nih.gov/pubmed/32961567 http://dx.doi.org/10.1055/a-1237-4011 |
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