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Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting

Transparency is increasingly promoted to instill trust in nonrandomized studies using real‐world data. Graphics and data visualizations support transparency by aiding communication and understanding, and can inform study design and analysis decisions. However, other than graphical representation of...

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Detalles Bibliográficos
Autores principales: Gatto, Nicolle M., Wang, Shirley V., Murk, William, Mattox, Pattra, Brookhart, M. Alan, Bate, Andrew, Schneeweiss, Sebastian, Rassen, Jeremy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826437/
https://www.ncbi.nlm.nih.gov/pubmed/35984046
http://dx.doi.org/10.1002/pds.5529
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author Gatto, Nicolle M.
Wang, Shirley V.
Murk, William
Mattox, Pattra
Brookhart, M. Alan
Bate, Andrew
Schneeweiss, Sebastian
Rassen, Jeremy A.
author_facet Gatto, Nicolle M.
Wang, Shirley V.
Murk, William
Mattox, Pattra
Brookhart, M. Alan
Bate, Andrew
Schneeweiss, Sebastian
Rassen, Jeremy A.
author_sort Gatto, Nicolle M.
collection PubMed
description Transparency is increasingly promoted to instill trust in nonrandomized studies using real‐world data. Graphics and data visualizations support transparency by aiding communication and understanding, and can inform study design and analysis decisions. However, other than graphical representation of a study design and flow diagrams (e.g., a Consolidated Standards of Reporting Trials [CONSORT] like diagram), specific standards on how to maximize validity and transparency with visualization are needed. This paper provides guidance on how to use visualizations throughout the life cycle of a pharmacoepidemiology study—from initial study design to final report—to facilitate rationalized and transparent decision‐making about study design and implementation, and clear communication of study findings. Our intent is to help researchers align their practices with current consensus statements on transparency.
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spelling pubmed-98264372023-01-09 Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting Gatto, Nicolle M. Wang, Shirley V. Murk, William Mattox, Pattra Brookhart, M. Alan Bate, Andrew Schneeweiss, Sebastian Rassen, Jeremy A. Pharmacoepidemiol Drug Saf Reviews Transparency is increasingly promoted to instill trust in nonrandomized studies using real‐world data. Graphics and data visualizations support transparency by aiding communication and understanding, and can inform study design and analysis decisions. However, other than graphical representation of a study design and flow diagrams (e.g., a Consolidated Standards of Reporting Trials [CONSORT] like diagram), specific standards on how to maximize validity and transparency with visualization are needed. This paper provides guidance on how to use visualizations throughout the life cycle of a pharmacoepidemiology study—from initial study design to final report—to facilitate rationalized and transparent decision‐making about study design and implementation, and clear communication of study findings. Our intent is to help researchers align their practices with current consensus statements on transparency. John Wiley & Sons, Inc. 2022-09-09 2022-11 /pmc/articles/PMC9826437/ /pubmed/35984046 http://dx.doi.org/10.1002/pds.5529 Text en © 2022 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Reviews
Gatto, Nicolle M.
Wang, Shirley V.
Murk, William
Mattox, Pattra
Brookhart, M. Alan
Bate, Andrew
Schneeweiss, Sebastian
Rassen, Jeremy A.
Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting
title Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting
title_full Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting
title_fullStr Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting
title_full_unstemmed Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting
title_short Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting
title_sort visualizations throughout pharmacoepidemiology study planning, implementation, and reporting
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826437/
https://www.ncbi.nlm.nih.gov/pubmed/35984046
http://dx.doi.org/10.1002/pds.5529
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