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Meta-research on pragmatism of randomized trials: rationale and design of the PragMeta database

BACKGROUND: Pragmatic trials provide decision-oriented, real-world evidence that is highly applicable and generalizable. The interest in real-world evidence is fueled by the assumption that effects in the “real-world” are different to effects obtained under artificial, controlled, research condition...

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Autores principales: Hirt, Julian, Janiaud, Perrine, Düblin, Pascal, Hemkens, Lars G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314391/
https://www.ncbi.nlm.nih.gov/pubmed/37391755
http://dx.doi.org/10.1186/s13063-023-07474-y
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author Hirt, Julian
Janiaud, Perrine
Düblin, Pascal
Hemkens, Lars G.
author_facet Hirt, Julian
Janiaud, Perrine
Düblin, Pascal
Hemkens, Lars G.
author_sort Hirt, Julian
collection PubMed
description BACKGROUND: Pragmatic trials provide decision-oriented, real-world evidence that is highly applicable and generalizable. The interest in real-world evidence is fueled by the assumption that effects in the “real-world” are different to effects obtained under artificial, controlled, research conditions as often used for traditional explanatory trials. However, it is unknown which features of pragmatism, generalizability, and applicability would be responsible for such differences. There is a need to provide empirical evidence and promote meta-research to answer these fundamental questions on the pragmatism of randomized trials and real-world evidence. Here, we describe the rationale and design of the PragMeta database which pursues this goal (www.PragMeta.org). METHODS: PragMeta is a non-commercial, open data platform and infrastructure to facilitate research on pragmatic trials. It collects and shares data from published randomized trials that either have a specific design feature or other characteristic related to pragmatism or they form clusters of trials addressing the same research question but having different aspects of pragmatism. This lays the foundation to determine the relationship of various features of pragmatism, generalizability, and applicability with intervention effects or other trial characteristics. The database contains trial data actively collected for PragMeta but also allows to import and link existing datasets of trials collected for other purposes, forming a large-scale meta-database. PragMeta captures data on (1) trial and design characteristics (e.g., sample size, population, intervention/comparison, outcome, longitudinal structure, blinding), (2) effects estimates, and (3) various determinants of pragmatism (e.g., the use of routinely collected data) and ratings from established tools used to determine pragmatism (e.g., the PRagmatic–Explanatory Continuum Indicator Summary 2; PRECIS-2). PragMeta is continuously provided online, inviting the meta-research community to collaborate, contribute, and/or use the database. As of April 2023, PragMeta contains data from > 700 trials, mostly with assessments on pragmatism. CONCLUSIONS: PragMeta will inform a better understanding of pragmatism and the generation and interpretation of real-world evidence.
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spelling pubmed-103143912023-07-02 Meta-research on pragmatism of randomized trials: rationale and design of the PragMeta database Hirt, Julian Janiaud, Perrine Düblin, Pascal Hemkens, Lars G. Trials Methodology BACKGROUND: Pragmatic trials provide decision-oriented, real-world evidence that is highly applicable and generalizable. The interest in real-world evidence is fueled by the assumption that effects in the “real-world” are different to effects obtained under artificial, controlled, research conditions as often used for traditional explanatory trials. However, it is unknown which features of pragmatism, generalizability, and applicability would be responsible for such differences. There is a need to provide empirical evidence and promote meta-research to answer these fundamental questions on the pragmatism of randomized trials and real-world evidence. Here, we describe the rationale and design of the PragMeta database which pursues this goal (www.PragMeta.org). METHODS: PragMeta is a non-commercial, open data platform and infrastructure to facilitate research on pragmatic trials. It collects and shares data from published randomized trials that either have a specific design feature or other characteristic related to pragmatism or they form clusters of trials addressing the same research question but having different aspects of pragmatism. This lays the foundation to determine the relationship of various features of pragmatism, generalizability, and applicability with intervention effects or other trial characteristics. The database contains trial data actively collected for PragMeta but also allows to import and link existing datasets of trials collected for other purposes, forming a large-scale meta-database. PragMeta captures data on (1) trial and design characteristics (e.g., sample size, population, intervention/comparison, outcome, longitudinal structure, blinding), (2) effects estimates, and (3) various determinants of pragmatism (e.g., the use of routinely collected data) and ratings from established tools used to determine pragmatism (e.g., the PRagmatic–Explanatory Continuum Indicator Summary 2; PRECIS-2). PragMeta is continuously provided online, inviting the meta-research community to collaborate, contribute, and/or use the database. As of April 2023, PragMeta contains data from > 700 trials, mostly with assessments on pragmatism. CONCLUSIONS: PragMeta will inform a better understanding of pragmatism and the generation and interpretation of real-world evidence. BioMed Central 2023-06-30 /pmc/articles/PMC10314391/ /pubmed/37391755 http://dx.doi.org/10.1186/s13063-023-07474-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
Hirt, Julian
Janiaud, Perrine
Düblin, Pascal
Hemkens, Lars G.
Meta-research on pragmatism of randomized trials: rationale and design of the PragMeta database
title Meta-research on pragmatism of randomized trials: rationale and design of the PragMeta database
title_full Meta-research on pragmatism of randomized trials: rationale and design of the PragMeta database
title_fullStr Meta-research on pragmatism of randomized trials: rationale and design of the PragMeta database
title_full_unstemmed Meta-research on pragmatism of randomized trials: rationale and design of the PragMeta database
title_short Meta-research on pragmatism of randomized trials: rationale and design of the PragMeta database
title_sort meta-research on pragmatism of randomized trials: rationale and design of the pragmeta database
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314391/
https://www.ncbi.nlm.nih.gov/pubmed/37391755
http://dx.doi.org/10.1186/s13063-023-07474-y
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