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Use of Multicenter Data in a Large Cancer Registry for Evaluation of Outcome and Implementation of Novel Concepts
Large clinical cancer registries (CCRs) in Germany shall be strengthened by the German Social Code Book V (SGB V) and implemented until the end of 2017. There are currently several large cancer registries that support clinical data for outcome analysis and knowledge acquisition. The various examples...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632760/ https://www.ncbi.nlm.nih.gov/pubmed/29046867 http://dx.doi.org/10.3389/fonc.2017.00234 |
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author | Schubert-Fritschle, Gabriele Combs, Stephanie E. Kirchner, Thomas Nüssler, Volkmar Engel, Jutta |
author_facet | Schubert-Fritschle, Gabriele Combs, Stephanie E. Kirchner, Thomas Nüssler, Volkmar Engel, Jutta |
author_sort | Schubert-Fritschle, Gabriele |
collection | PubMed |
description | Large clinical cancer registries (CCRs) in Germany shall be strengthened by the German Social Code Book V (SGB V) and implemented until the end of 2017. There are currently several large cancer registries that support clinical data for outcome analysis and knowledge acquisition. The various examples of the Munich Cancer Registry outlined in this paper present many-sided possibilities using and analyzing registry data. The main objective of population-based cancer registration within a defined area and the performance of outcomes research is to provide feedback regarding the results to the broad public, the reporting doctors, and the scientific community. These tasks determine principles of operation and data usage by CCRs. Each clinical department delivers its own findings and applied therapy. The compilation of these data in CCRs provides information on patient progress through the regional network of medical care and delivers meaningful information on the course of oncological diseases. Successful implementation of CCRs allows for presenting the statistical outcomes of health-care delivery, improving the quality of care within the region, accelerating the process of implementing innovative therapies, and generating new hypotheses as a stimulus for research activities. |
format | Online Article Text |
id | pubmed-5632760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56327602017-10-18 Use of Multicenter Data in a Large Cancer Registry for Evaluation of Outcome and Implementation of Novel Concepts Schubert-Fritschle, Gabriele Combs, Stephanie E. Kirchner, Thomas Nüssler, Volkmar Engel, Jutta Front Oncol Oncology Large clinical cancer registries (CCRs) in Germany shall be strengthened by the German Social Code Book V (SGB V) and implemented until the end of 2017. There are currently several large cancer registries that support clinical data for outcome analysis and knowledge acquisition. The various examples of the Munich Cancer Registry outlined in this paper present many-sided possibilities using and analyzing registry data. The main objective of population-based cancer registration within a defined area and the performance of outcomes research is to provide feedback regarding the results to the broad public, the reporting doctors, and the scientific community. These tasks determine principles of operation and data usage by CCRs. Each clinical department delivers its own findings and applied therapy. The compilation of these data in CCRs provides information on patient progress through the regional network of medical care and delivers meaningful information on the course of oncological diseases. Successful implementation of CCRs allows for presenting the statistical outcomes of health-care delivery, improving the quality of care within the region, accelerating the process of implementing innovative therapies, and generating new hypotheses as a stimulus for research activities. Frontiers Media S.A. 2017-09-29 /pmc/articles/PMC5632760/ /pubmed/29046867 http://dx.doi.org/10.3389/fonc.2017.00234 Text en Copyright © 2017 Schubert-Fritschle, Combs, Kirchner, Nüssler and Engel. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Schubert-Fritschle, Gabriele Combs, Stephanie E. Kirchner, Thomas Nüssler, Volkmar Engel, Jutta Use of Multicenter Data in a Large Cancer Registry for Evaluation of Outcome and Implementation of Novel Concepts |
title | Use of Multicenter Data in a Large Cancer Registry for Evaluation of Outcome and Implementation of Novel Concepts |
title_full | Use of Multicenter Data in a Large Cancer Registry for Evaluation of Outcome and Implementation of Novel Concepts |
title_fullStr | Use of Multicenter Data in a Large Cancer Registry for Evaluation of Outcome and Implementation of Novel Concepts |
title_full_unstemmed | Use of Multicenter Data in a Large Cancer Registry for Evaluation of Outcome and Implementation of Novel Concepts |
title_short | Use of Multicenter Data in a Large Cancer Registry for Evaluation of Outcome and Implementation of Novel Concepts |
title_sort | use of multicenter data in a large cancer registry for evaluation of outcome and implementation of novel concepts |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632760/ https://www.ncbi.nlm.nih.gov/pubmed/29046867 http://dx.doi.org/10.3389/fonc.2017.00234 |
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