Literature DB >> 27365011

The pragmatic clinical trial in a learning health care system.

Roger J Lewis1.   

Abstract

BACKGROUND/AIMS: A learning health care system ideally incorporates the ability to adapt to the pace of change, the incorporation of new clinical research paradigms, and leverages electronic health record systems and clinical decision support systems to narrow the divide between research and clinical practice.
METHODS: An adaptive clinical trial can be embedded into the sites and practice of clinical care in a highly pragmatic way to simultaneously generate high-quality data on treatment efficacy and improve the care of patients. This approach can be expanded into a pragmatic platform trial, meaning a trial that is intended to evaluate multiple treatments for a disease or diseases, possibly in combination, and with the available treatments potentially changing over time. This strategy is illustrated using a trial currently being implemented in Europe and funded by the European Union, evaluating three different "domains" of treatments for patients with severe community-acquired pneumonia requiring intensive care.
RESULTS: Simulation studies demonstrate that this approach has the potential to save lives while identifying the best treatment strategies for this critically ill population.
CONCLUSION: Patients are likely to benefit if we can merge clinical trials and decision support into a single continuous learning process.
© The Author(s) 2016.

Entities:  

Keywords:  Learning health care system; adaptive trial; early stopping; multiple treatment domains; platform trial; response-adaptive randomization

Mesh:

Year:  2016        PMID: 27365011     DOI: 10.1177/1740774516655097

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  6 in total

1.  The Adaptive designs CONSORT Extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design.

Authors:  Munyaradzi Dimairo; Philip Pallmann; James Wason; Susan Todd; Thomas Jaki; Steven A Julious; Adrian P Mander; Christopher J Weir; Franz Koenig; Marc K Walton; Jon P Nicholl; Elizabeth Coates; Katie Biggs; Toshimitsu Hamasaki; Michael A Proschan; John A Scott; Yuki Ando; Daniel Hind; Douglas G Altman
Journal:  BMJ       Date:  2020-06-17

2.  Bayesian clinical trials at The University of Texas MD Anderson Cancer Center: An update.

Authors:  Rebecca S Slack Tidwell; S Andrew Peng; Minxing Chen; Diane D Liu; Ying Yuan; J Jack Lee
Journal:  Clin Trials       Date:  2019-08-26       Impact factor: 2.486

Review 3.  Advances in Clinical Decision Support: Highlights of Practice and the Literature 2015-2016.

Authors:  R A Jenders
Journal:  Yearb Med Inform       Date:  2017-09-11

Review 4.  Leveraging the electronic health record to improve quality and safety in rheumatology.

Authors:  Gabriela Schmajuk; Jinoos Yazdany
Journal:  Rheumatol Int       Date:  2017-08-29       Impact factor: 2.631

5.  Transforming an Autism Pediatric Research Network into a Learning Health System: Lessons Learned.

Authors:  Donna S Murray; Julia S Anixt; Daniel L Coury; Karen A Kuhlthau; Janet Seide; Amy Kelly; Angie Fedele; Diane Eskra; Carole Lannon
Journal:  Pediatr Qual Saf       Date:  2019-04-02

6.  The adaptive designs CONSORT extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design.

Authors:  Munyaradzi Dimairo; Philip Pallmann; James Wason; Susan Todd; Thomas Jaki; Steven A Julious; Adrian P Mander; Christopher J Weir; Franz Koenig; Marc K Walton; Jon P Nicholl; Elizabeth Coates; Katie Biggs; Toshimitsu Hamasaki; Michael A Proschan; John A Scott; Yuki Ando; Daniel Hind; Douglas G Altman
Journal:  Trials       Date:  2020-06-17       Impact factor: 2.279

  6 in total

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