Literature DB >> 28716504

Series: Pragmatic trials and real world evidence: Paper 8. Data collection and management.

Anna-Katharina Meinecke1, Paco Welsing2, George Kafatos3, Des Burke4, Sven Trelle5, Maria Kubin6, Gaelle Nachbaur7, Matthias Egger8, Mira Zuidgeest2.   

Abstract

Pragmatic trials can improve our understanding of how treatments will perform in routine practice. In a series of eight papers, the GetReal Consortium has evaluated the challenges in designing and conducting pragmatic trials and their specific methodological, operational, regulatory, and ethical implications. The present final paper of the series discusses the operational and methodological challenges of data collection in pragmatic trials. A more pragmatic data collection needs to balance the delivery of highly accurate and complete data with minimizing the level of interference that data entry and verification induce with clinical practice. Furthermore, it should allow for the involvement of a representative sample of practices, physicians, and patients who prescribe/receive treatment in routine care. This paper discusses challenges that are related to the different methods of data collection and presents potential solutions where possible. No one-size-fits-all recommendation can be given for the collection of data in pragmatic trials, although in general the application of existing routinely used data-collection systems and processes seems to best suit the pragmatic approach. However, data access and privacy, the time points of data collection, the level of detail in the data, and the lack of a clear understanding of the data-collection process were identified as main challenges for the usage of routinely collected data in pragmatic trials. A first step should be to determine to what extent existing health care databases provide the necessary study data and can accommodate data collection and management. When more elaborate or detailed data collection or more structured follow-up is required, data collection in a pragmatic trial will have to be tailor-made, often using a hybrid approach using a dedicated electronic case report form (eCRF). In this case, the eCRF should be kept as simple as possible to reduce the burden for practitioners and minimize influence on routine clinical practice.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Claims databases; Electronic health records; Pragmatic trial; Registries; Routinely collected data; eCRF

Mesh:

Year:  2017        PMID: 28716504     DOI: 10.1016/j.jclinepi.2017.07.003

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  7 in total

1.  Research-grade data in the real world: challenges and opportunities in data quality from a pragmatic trial in community-based practices.

Authors:  Anna A Divney; Priscilla M Lopez; Terry T Huang; Lorna E Thorpe; Chau Trinh-Shevrin; Nadia S Islam
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

Review 2.  Routinely collected data for randomized trials: promises, barriers, and implications.

Authors:  Kimberly A Mc Cord; Rustam Al-Shahi Salman; Shaun Treweek; Heidi Gardner; Daniel Strech; William Whiteley; John P A Ioannidis; Lars G Hemkens
Journal:  Trials       Date:  2018-01-11       Impact factor: 2.279

Review 3.  Defining key design elements of registry-based randomised controlled trials: a scoping review.

Authors:  Bill Karanatsios; Khic-Houy Prang; Ebony Verbunt; Justin M Yeung; Margaret Kelaher; Peter Gibbs
Journal:  Trials       Date:  2020-06-22       Impact factor: 2.279

4.  ED to EPI: protocol for a pragmatic randomised controlled trial of an SMS (text) messaging intervention to improve the transition from the emergency department to early psychosis intervention for young people with psychosis.

Authors:  Alexia Polillo; George Foussias; Albert H C Wong; Augustina Ampofo; Vicky Stergiopoulos; Kelly K Anderson; Sarah Bromley; Jessica D'Arcey; Claire de Oliveira; Lillian Duda; Joanna Henderson; Sean Kidd; Paul Kurdyak; Wei Wang; Juveria Zaheer; Aristotle N Voineskos; Nicole Kozloff
Journal:  BMJ Open       Date:  2020-12-17       Impact factor: 2.692

5.  Feasibility of using Clinical Practice Research Datalink data to identify patients with chronic obstructive pulmonary disease to enrol into real-world trials.

Authors:  Gema Requena; Achim Wolf; Rachael Williams; Daniel Dedman; Jennifer K Quint; Tarita Murray-Thomas; Jeanne M Pimenta
Journal:  Pharmacoepidemiol Drug Saf       Date:  2021-01-09       Impact factor: 2.890

6.  Chronic obstructive pulmonary disease exacerbation episodes derived from electronic health record data validated using clinical trial data.

Authors:  Matthew Sperrin; David J Webb; Pinal Patel; Kourtney J Davis; Susan Collier; Alexander Pate; David A Leather; Jeanne M Pimenta
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-08-05       Impact factor: 2.890

7.  A Society of General Internal Medicine Position Statement on the Internists' Role in Social Determinants of Health.

Authors:  Elena Byhoff; Shreya Kangovi; Seth A Berkowitz; Matthew DeCamp; Elizabeth Dzeng; Mark Earnest; Cristina M Gonzalez; Sarah Hartigan; Reena Karani; Milad Memari; Brita Roy; Mark D Schwartz; Anna Volerman; Karen DeSalvo
Journal:  J Gen Intern Med       Date:  2020-06-09       Impact factor: 5.128

  7 in total

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