CA study of MDT prognostication v1.0
Research type
Research Study
Full title
Conversation analytic study of prognostic decision-making within palliative multi-disciplinary team meetings
IRAS ID
276367
Contact name
Patrick Stone
Contact email
Sponsor organisation
Joint Research Office, UCL
Clinicaltrials.gov Identifier
Z6364106/2020/03/116, UCL Data Protection Registration Number
Duration of Study in the UK
2 years, 0 months, 0 days
Research summary
This study will investigate MDT prognostication by conducting Conversation Analysis (CA) on video recordings of MDT meetings in a hospice. The overall objective is to explore how health care professionals with different backgrounds make decisions regarding prognosis for terminally ill patients in their MDT meetings. This will be done by closely looking at how the members interact in the meeting. The study aims to identify patterns for how prognostic decisions are made between members with different expertise and knowledge of the patients. The method of CA closely investigates the sequential organisation and the interactional functions of naturally occurring talk as well as non-verbal behaviour. This work will provide comprehensive analyses of the interaction occurring in these meetings regarding prognostic decisions. By exploring how prognostic decisions are carried out, we can identify potential problems or opportunities that can be used to improve this practice in the future.
REC name
London - Camden & Kings Cross Research Ethics Committee
REC reference
20/LO/1168
Date of REC Opinion
4 Dec 2020
REC opinion
Further Information Favourable Opinion