↓ Skip to main content

Risk-proportionate clinical trial monitoring: an example approach from a non-commercial trials unit

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

Mentioned by

twitter
1 X user

Readers on

mendeley
75 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
Risk-proportionate clinical trial monitoring: an example approach from a non-commercial trials unit
Published in
Trials, April 2014
DOI 10.1186/1745-6215-15-127
Pubmed ID
Authors

Catrin Tudur Smith, Paula Williamson, Ashley Jones, Alan Smyth, Simon Langton Hewer, Carrol Gamble

Abstract

Some level of monitoring is usually required during a clinical trial to protect the rights and safety of trial participants and to safeguard the quality and reliability of trial results. Although there is increasing support for the use of risk-proportionate approaches to achieve these aims, the variety of methods and lack of an empirical evidence base can present challenges for clinical trial practitioners.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Gambia 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 24%
Other 12 16%
Researcher 12 16%
Student > Postgraduate 8 11%
Student > Bachelor 5 7%
Other 7 9%
Unknown 13 17%
Readers by discipline Count As %
Medicine and Dentistry 29 39%
Agricultural and Biological Sciences 6 8%
Social Sciences 6 8%
Nursing and Health Professions 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 12 16%
Unknown 15 20%