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Making trials matter: pragmatic and explanatory trials and the problem of applicability

Overview of attention for article published in Trials, June 2009
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Title
Making trials matter: pragmatic and explanatory trials and the problem of applicability
Published in
Trials, June 2009
DOI 10.1186/1745-6215-10-37
Pubmed ID
Authors

Shaun Treweek, Merrick Zwarenstein

Abstract

Randomised controlled trials are the best research design for decisions about the effect of different interventions but randomisation does not, of itself, promote the applicability of a trial's results to situations other than the precise one in which the trial was done. While methodologists and trialists have rightly paid great attention to internal validity, much less has been given to applicability. This narrative review is aimed at those planning to conduct trials, and those aiming to use the information in them. It is intended to help the former group make their trials more widely useful and to help the latter group make more informed decisions about the wider use of existing trials. We review the differences between the design of most randomised trials (which have an explanatory attitude) and the design of trials more able to inform decision making (which have a pragmatic attitude) and discuss approaches used to assert applicability of trial results. If we want evidence from trials to be used in clinical practice and policy, trialists should make every effort to make their trial widely applicable, which means that more trials should be pragmatic in attitude.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 320 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 2%
Netherlands 2 <1%
Canada 2 <1%
Spain 2 <1%
Russia 1 <1%
South Africa 1 <1%
Unknown 305 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 53 17%
Researcher 52 16%
Student > Ph. D. Student 45 14%
Other 24 8%
Professor 21 7%
Other 76 24%
Unknown 49 15%
Readers by discipline Count As %
Medicine and Dentistry 140 44%
Nursing and Health Professions 32 10%
Social Sciences 19 6%
Psychology 15 5%
Agricultural and Biological Sciences 10 3%
Other 34 11%
Unknown 70 22%