CONSULT User study version 1.0
Research type
Research Study
Full title
Evaluating the feasibility and acceptance of the CONSULT decision support system
IRAS ID
261490
Contact name
Simon Parsons
Contact email
Sponsor organisation
King's College London
Duration of Study in the UK
0 years, 4 months, 30 days
Research summary
The aim of this study is to explore human factors influencing the acceptance of and engagement with CONSULT, a mobile decision support system (DSS) designed to help stroke survivors to self-manage their treatment plans. Users of the CONSULT can upload and monitor their personal health data; receive alerts and tailored health recommendations for self-managing their condition, along with explanations as to the reason why specific recommendations were made. To achieve this, CONSULT makes use of artificial intelligence (AI) to integrate and process heterogeneous sets of health data, including data collected from patients themselves using wearable sensors, data stored in Electronic Health Records (EHRs), clinical guidelines and medical literature. Given the novelty of this data-driven technology, it is important to understand how stroke survivors interact with and make sense of it. This knowledge will help us improve the user experience of CONSULT with the eventual aim of integrating it into long-term disease self-management. To address this aim a mixed methods within-subjects design will be employed to evaluate the CONSULT system across a set of measures, including: usability, user experience, level of engagement, information usage and perceived usefulness. Specifically, it is envisaged that a total of 40 participants (stroke survivors and/or carers) will be recruited and asked to use two versions of the CONSULT DSS (with and without a chatbot) over a 17-day period. Data on the aforementioned measures will be collected using a mix of quantitative and qualitative methods and techniques, including questionnaires, usage logs and semi-structured interviews.
REC name
London - Fulham Research Ethics Committee
REC reference
19/LO/0859
Date of REC Opinion
1 Aug 2019
REC opinion
Further Information Favourable Opinion