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Reducing the confusion and controversies around pragmatic trials: using the Cardiovascular Health Awareness Program (CHAP) trial as an illustrative example

Overview of attention for article published in Trials, September 2015
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Title
Reducing the confusion and controversies around pragmatic trials: using the Cardiovascular Health Awareness Program (CHAP) trial as an illustrative example
Published in
Trials, September 2015
DOI 10.1186/s13063-015-0919-3
Pubmed ID
Authors

Lehana Thabane, Janusz Kaczorowski, Lisa Dolovich, Larry W. Chambers, Lawrence Mbuagbaw, on behalf of the CHAP investigators

Abstract

Knowledge translation (KT) involves implementation of evidence-based strategies and guidelines into practice to improve the process of care and health outcomes for patients. Findings from pragmatic trials may be used in KT to provide patients, healthcare providers and policymakers with information to optimize healthcare decisions based on how a given strategy or intervention performs under the real world conditions. However, pragmatic trials have been criticized for having the following problems: i) high rates of loss to follow-up; ii) nonadherence to study intervention; iii) unblinded treatment and patient self-assessment, which can potentially create bias; iv) being less perfect experiments than efficacy trials; v) sacrificing internal validity to achieve generalizability; and vi) often requiring large sample sizes to detect small treatment effects in heterogeneous populations. In this paper, we discuss whether these criticisms hold merit, or if they are simply driven by confusion about the purpose of pragmatic trials. We use the Cardiovascular Health Awareness Program (CHAP) trial - a community randomized pragmatic trial designed to assess whether offering a highly organized, community-based CHAP intervention compared to usual care can reduce cardiovascular disease-related outcomes - to address these specific criticisms and illustrate how to reduce this confusion. Current controlled trials ISRCTN50550004 (9 May 2007).

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Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 13%
Student > Master 12 13%
Student > Ph. D. Student 10 11%
Student > Doctoral Student 7 8%
Professor > Associate Professor 6 7%
Other 22 24%
Unknown 23 25%
Readers by discipline Count As %
Medicine and Dentistry 31 34%
Nursing and Health Professions 6 7%
Social Sciences 5 5%
Psychology 4 4%
Agricultural and Biological Sciences 2 2%
Other 11 12%
Unknown 33 36%