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Pragmatic Trials for Non-Communicable Diseases: Relieving Constraints
World Health Organization member states have committed to reducing premature deaths from non-communicable disease by 25% by 2025. Interventions to reduce risk factors including tobacco use, physical inactivity, high blood pressure and obesity that prove safe and efficacious in randomized controlled trials commonly fail when implemented on a broader scale. This challenge to translation is particularly pronounced in low- and middle-income countries, which bear an increasing burden of non-communicable disease. In this month's Editorial, Anushka Patel and Ruth Webster, both of The George Institute for Global Health, discuss strategies to maximize knowledge gain in pragmatic randomized controlled trials (pRCT), which test the effectiveness of health interventions under "real-world" conditions.
Image Credit: striatic, Flickr
Citation: (2016) PLoS Medicine Issue Image | Vol. 13(3) March 2016. PLoS Med 13(3): ev13.i03. https://doi.org/10.1371/image.pmed.v13.i03
Published: March 31, 2016
Copyright: © 2016 striatic. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
World Health Organization member states have committed to reducing premature deaths from non-communicable disease by 25% by 2025. Interventions to reduce risk factors including tobacco use, physical inactivity, high blood pressure and obesity that prove safe and efficacious in randomized controlled trials commonly fail when implemented on a broader scale. This challenge to translation is particularly pronounced in low- and middle-income countries, which bear an increasing burden of non-communicable disease. In this month's Editorial, Anushka Patel and Ruth Webster, both of The George Institute for Global Health, discuss strategies to maximize knowledge gain in pragmatic randomized controlled trials (pRCT), which test the effectiveness of health interventions under "real-world" conditions.
Image Credit: striatic, Flickr