Objective

The European Society of Anaesthesiology and Intensive Care Clinical Trial Network provides an infrastructure for Institutions, clinicians and scientists allowing to work collaboratively across international borders to improve the care of patients in the field of Anaesthesiology, Intensive Care, Peri-Operative Medicine, Emergency Medicine and Pain Medicine. International networks all over the world have demonstrated the advantages of collaboration to address and answer clinically relevant research questions. Long-term collaborative relationships within research, education and clinical practice require dedicated resources and infrastructure enabling access to the entire clinical community.

Process

You are invited to submit contact details on behalf of your hospital in order to become an ESAIC CTN centre participating in one or more studies.

• Completion of the Online Call for Centres Form will facilitate coordination and is mandatory for registering the Institution’s participation in an ESAIC CTN study.
• All fields on the ‘Call for Centres form’ marked with an asterisk are mandatory. More information can be found here, for advantages resulting from the various membership types, please refer to the ESAIC membership section.
• The ESAIC Secretariat will acknowledge receipt of the ‘Call for Centres form’ and will contact centres providing them with additional study information.

Benefits

A CTN grant of up to € 30,000 is provided for Study costs. The grant is intended mainly to cover travel costs for steering committee meetings, use of a statistician, and possibly study coordination assistance at the institution of the principal investigator (PI). In general, no case money for participating centres is foreseen. In addition to the financial support, the ESAIC offers to the PI and steering committee members a valuable coordination support package: administrative, technical and logistic help for all phases of the study: preparation of documents, centre set-up and coordination, case report forms and cleaning of the data.