↓ Skip to main content

Making a decision about trial participation: the feasibility of measuring deliberation during the informed consent process for clinical trials

Overview of attention for article published in Trials, July 2014
Altmetric Badge

Mentioned by

twitter
12 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
73 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Making a decision about trial participation: the feasibility of measuring deliberation during the informed consent process for clinical trials
Published in
Trials, July 2014
DOI 10.1186/1745-6215-15-307
Pubmed ID
Authors

Katie Gillies, Glyn Elwyn, Jonathan Cook

Abstract

Informed consent of trial participants is both an ethical and a legal requirement. When facing a decision about trial participation, potential participants are provided with information about the trial and have the opportunity to have any questions answered before their degree of 'informed-ness' is assessed, usually subjectively, and before they are asked to sign a consent form. Currently, standardised methods for assessing informed consent have tended to be focused on aspects of understanding and associated outcomes, rather than on the process of consent and the steps associated with decision-making.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 71 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Student > Master 13 18%
Researcher 9 12%
Student > Bachelor 8 11%
Student > Doctoral Student 6 8%
Other 15 21%
Unknown 9 12%
Readers by discipline Count As %
Medicine and Dentistry 31 42%
Social Sciences 8 11%
Nursing and Health Professions 6 8%
Psychology 5 7%
Engineering 2 3%
Other 6 8%
Unknown 15 21%