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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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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. |
format | Online Article Text |
id | pubmed-10314391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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