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A multi-state model analysis of the time from ethical approval to publication of clinical research studies
BACKGROUND: Results of medical research should be made publicly available in a timely manner to enable patients and health professionals to make informed decisions about health issues. We aimed to apply a multi-state model to analyze the overall time needed to publish study results, and to examine p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7100954/ https://www.ncbi.nlm.nih.gov/pubmed/32218603 http://dx.doi.org/10.1371/journal.pone.0230797 |
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author | Blümle, Anette Haag, Tobias Balmford, James Rücker, Gerta Schumacher, Martin Binder, Nadine |
author_facet | Blümle, Anette Haag, Tobias Balmford, James Rücker, Gerta Schumacher, Martin Binder, Nadine |
author_sort | Blümle, Anette |
collection | PubMed |
description | BACKGROUND: Results of medical research should be made publicly available in a timely manner to enable patients and health professionals to make informed decisions about health issues. We aimed to apply a multi-state model to analyze the overall time needed to publish study results, and to examine predictors of the timing of transitions within the research process from study initiation through completion/discontinuation to eventual publication. METHODS: Using a newly developed multi-state model approach, we analysed the effect of different study-related factors on each of the transitions from study approval to eventual publication, using a data set of clinical studies approved by a German research ethics committee between 2000 and 2002. RESULTS: Of 917 approved studies, 806 were included in our analyses. About half of the clinical studies which began were subsequently published as full articles, and the median time from study approval to publication was 10 years. Differences across model states were apparent; several factors were predictive of the transition from study approval to completion, while funding source and collaboration were predictive of the transition from completion to publication. CONCLUSIONS: The proposed multi-state model approach permits a more comprehensive analysis of time to publication than a simple examination of the transition from approval to publication, and thus the findings represent an advance on previous studies of this aspect of the research process. |
format | Online Article Text |
id | pubmed-7100954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71009542020-04-03 A multi-state model analysis of the time from ethical approval to publication of clinical research studies Blümle, Anette Haag, Tobias Balmford, James Rücker, Gerta Schumacher, Martin Binder, Nadine PLoS One Research Article BACKGROUND: Results of medical research should be made publicly available in a timely manner to enable patients and health professionals to make informed decisions about health issues. We aimed to apply a multi-state model to analyze the overall time needed to publish study results, and to examine predictors of the timing of transitions within the research process from study initiation through completion/discontinuation to eventual publication. METHODS: Using a newly developed multi-state model approach, we analysed the effect of different study-related factors on each of the transitions from study approval to eventual publication, using a data set of clinical studies approved by a German research ethics committee between 2000 and 2002. RESULTS: Of 917 approved studies, 806 were included in our analyses. About half of the clinical studies which began were subsequently published as full articles, and the median time from study approval to publication was 10 years. Differences across model states were apparent; several factors were predictive of the transition from study approval to completion, while funding source and collaboration were predictive of the transition from completion to publication. CONCLUSIONS: The proposed multi-state model approach permits a more comprehensive analysis of time to publication than a simple examination of the transition from approval to publication, and thus the findings represent an advance on previous studies of this aspect of the research process. Public Library of Science 2020-03-27 /pmc/articles/PMC7100954/ /pubmed/32218603 http://dx.doi.org/10.1371/journal.pone.0230797 Text en © 2020 Blümle et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Blümle, Anette Haag, Tobias Balmford, James Rücker, Gerta Schumacher, Martin Binder, Nadine A multi-state model analysis of the time from ethical approval to publication of clinical research studies |
title | A multi-state model analysis of the time from ethical approval to publication of clinical research studies |
title_full | A multi-state model analysis of the time from ethical approval to publication of clinical research studies |
title_fullStr | A multi-state model analysis of the time from ethical approval to publication of clinical research studies |
title_full_unstemmed | A multi-state model analysis of the time from ethical approval to publication of clinical research studies |
title_short | A multi-state model analysis of the time from ethical approval to publication of clinical research studies |
title_sort | multi-state model analysis of the time from ethical approval to publication of clinical research studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7100954/ https://www.ncbi.nlm.nih.gov/pubmed/32218603 http://dx.doi.org/10.1371/journal.pone.0230797 |
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