↓ Skip to main content

Barriers to the conduct of randomised clinical trials within all disease areas

Overview of attention for article published in Trials, August 2017
Altmetric Badge

Mentioned by

twitter
43 X users
facebook
2 Facebook pages

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
184 Mendeley
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
Barriers to the conduct of randomised clinical trials within all disease areas
Published in
Trials, August 2017
DOI 10.1186/s13063-017-2099-9
Pubmed ID
Authors

Snezana Djurisic, Ana Rath, Sabrina Gaber, Silvio Garattini, Vittorio Bertele, Sandra-Nadia Ngwabyt, Virginie Hivert, Edmund A. M. Neugebauer, Martine Laville, Michael Hiesmayr, Jacques Demotes-Mainard, Christine Kubiak, Janus C. Jakobsen, Christian Gluud

Abstract

Randomised clinical trials are key to advancing medical knowledge and to enhancing patient care, but major barriers to their conduct exist. The present paper presents some of these barriers. We performed systematic literature searches and internal European Clinical Research Infrastructure Network (ECRIN) communications during face-to-face meetings and telephone conferences from 2013 to 2017 within the context of the ECRIN Integrating Activity (ECRIN-IA) project. The following barriers to randomised clinical trials were identified: inadequate knowledge of clinical research and trial methodology; lack of funding; excessive monitoring; restrictive privacy law and lack of transparency; complex regulatory requirements; and inadequate infrastructures. There is a need for more pragmatic randomised clinical trials conducted with low risks of systematic and random errors, and multinational cooperation is essential. The present paper presents major barriers to randomised clinical trials. It also underlines the value of using a pan-European-distributed infrastructure to help investigators overcome barriers for multi-country trials in any disease area.

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 184 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 14%
Researcher 23 13%
Student > Ph. D. Student 19 10%
Student > Bachelor 19 10%
Other 11 6%
Other 33 18%
Unknown 54 29%
Readers by discipline Count As %
Medicine and Dentistry 50 27%
Nursing and Health Professions 23 13%
Pharmacology, Toxicology and Pharmaceutical Science 15 8%
Biochemistry, Genetics and Molecular Biology 8 4%
Social Sciences 5 3%
Other 23 13%
Unknown 60 33%