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Simple decision-tree tool to facilitate author identification of reporting guidelines during submission: a before–after study

BACKGROUND: There is evidence that direct journal endorsement of reporting guidelines can lead to important improvements in the quality and reliability of the published research. However, over the last 20 years, there has been a proliferation of reporting guidelines for different study designs, maki...

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Autores principales: Shanahan, Daniel R., Lopes de Sousa, Ines, Marshall, Diana M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803581/
https://www.ncbi.nlm.nih.gov/pubmed/29451534
http://dx.doi.org/10.1186/s41073-017-0044-9
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author Shanahan, Daniel R.
Lopes de Sousa, Ines
Marshall, Diana M.
author_facet Shanahan, Daniel R.
Lopes de Sousa, Ines
Marshall, Diana M.
author_sort Shanahan, Daniel R.
collection PubMed
description BACKGROUND: There is evidence that direct journal endorsement of reporting guidelines can lead to important improvements in the quality and reliability of the published research. However, over the last 20 years, there has been a proliferation of reporting guidelines for different study designs, making it impractical for a journal to explicitly endorse them all. The objective of this study was to investigate whether a decision tree tool made available during the submission process facilitates author identification of the relevant reporting guideline. METHODS: This was a prospective 14-week before–after study across four speciality medical research journals. During the submission process, authors were prompted to follow the relevant reporting guideline from the EQUATOR Network and asked to confirm that they followed the guideline (‘before’). After 7 weeks, this prompt was updated to include a direct link to the decision-tree tool and an additional prompt for those authors who stated that ‘no guidelines were applicable’ (‘after’). For each article submitted, the authors’ response, what guideline they followed (if any) and what reporting guideline they should have followed (including none relevant) were recorded. RESULTS: Overall, 590 manuscripts were included in this analysis—300 in the before cohort and 290 in the after. There were relevant reporting guidelines for 75% of manuscripts in each group; STROBE was the most commonly applicable reporting guideline, relevant for 35% (n = 106) and 37% (n = 106) of manuscripts, respectively. Use of the tool was associated with an 8.4% improvement in the number of authors correctly identifying the relevant reporting guideline for their study (p < 0.0001), a 14% reduction in the number of authors incorrectly stating that there were no relevant reporting guidelines (p < 0.0001), and a 1.7% reduction in authors choosing a guideline (p = 0.10). However, the ‘after’ cohort also saw a significant increase in the number of authors stating that there were relevant reporting guidelines for their study, but not specifying which (34 vs 29%; p = 0.04). CONCLUSION: This study suggests that use of a decision-tree tool during submission of a manuscript is associated with improved author identification of the relevant reporting guidelines for their study type; however, the majority of authors still failed to correctly identify the relevant guidelines. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41073-017-0044-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-58035812018-02-15 Simple decision-tree tool to facilitate author identification of reporting guidelines during submission: a before–after study Shanahan, Daniel R. Lopes de Sousa, Ines Marshall, Diana M. Res Integr Peer Rev Research BACKGROUND: There is evidence that direct journal endorsement of reporting guidelines can lead to important improvements in the quality and reliability of the published research. However, over the last 20 years, there has been a proliferation of reporting guidelines for different study designs, making it impractical for a journal to explicitly endorse them all. The objective of this study was to investigate whether a decision tree tool made available during the submission process facilitates author identification of the relevant reporting guideline. METHODS: This was a prospective 14-week before–after study across four speciality medical research journals. During the submission process, authors were prompted to follow the relevant reporting guideline from the EQUATOR Network and asked to confirm that they followed the guideline (‘before’). After 7 weeks, this prompt was updated to include a direct link to the decision-tree tool and an additional prompt for those authors who stated that ‘no guidelines were applicable’ (‘after’). For each article submitted, the authors’ response, what guideline they followed (if any) and what reporting guideline they should have followed (including none relevant) were recorded. RESULTS: Overall, 590 manuscripts were included in this analysis—300 in the before cohort and 290 in the after. There were relevant reporting guidelines for 75% of manuscripts in each group; STROBE was the most commonly applicable reporting guideline, relevant for 35% (n = 106) and 37% (n = 106) of manuscripts, respectively. Use of the tool was associated with an 8.4% improvement in the number of authors correctly identifying the relevant reporting guideline for their study (p < 0.0001), a 14% reduction in the number of authors incorrectly stating that there were no relevant reporting guidelines (p < 0.0001), and a 1.7% reduction in authors choosing a guideline (p = 0.10). However, the ‘after’ cohort also saw a significant increase in the number of authors stating that there were relevant reporting guidelines for their study, but not specifying which (34 vs 29%; p = 0.04). CONCLUSION: This study suggests that use of a decision-tree tool during submission of a manuscript is associated with improved author identification of the relevant reporting guidelines for their study type; however, the majority of authors still failed to correctly identify the relevant guidelines. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41073-017-0044-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-18 /pmc/articles/PMC5803581/ /pubmed/29451534 http://dx.doi.org/10.1186/s41073-017-0044-9 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Shanahan, Daniel R.
Lopes de Sousa, Ines
Marshall, Diana M.
Simple decision-tree tool to facilitate author identification of reporting guidelines during submission: a before–after study
title Simple decision-tree tool to facilitate author identification of reporting guidelines during submission: a before–after study
title_full Simple decision-tree tool to facilitate author identification of reporting guidelines during submission: a before–after study
title_fullStr Simple decision-tree tool to facilitate author identification of reporting guidelines during submission: a before–after study
title_full_unstemmed Simple decision-tree tool to facilitate author identification of reporting guidelines during submission: a before–after study
title_short Simple decision-tree tool to facilitate author identification of reporting guidelines during submission: a before–after study
title_sort simple decision-tree tool to facilitate author identification of reporting guidelines during submission: a before–after study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803581/
https://www.ncbi.nlm.nih.gov/pubmed/29451534
http://dx.doi.org/10.1186/s41073-017-0044-9
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