Patient activation is defined as a patient’s confidence and perceived ability to manage their own health. Patient activation has been a consistent predictor of long-term health and care costs, particularly for people with multiple long-term health conditions. However, there is currently no means of measuring patient activation from what is said in health care consultations. This may be particularly important for psychological therapy because most current methods for evaluating therapy content cannot be used routinely due to time and cost restraints. Natural language processing (NLP) has been used increasingly to classify and evaluate the contents of psychological therapy. This aims to make the routine, systematic evaluation of psychological therapy contents more accessible in terms of time and cost restraints. However, comparatively little attention has been paid to algorithmic trust and interpretability, with few studies in the field involving end users or stakeholders in algorithm development.
University of Lincoln, College of Social Science Research
Malins S, Nottinghamshire Healthcare NHS Foundation Trust, Specialist Services
Figueredo G, University of Nottingham, School of Computer Science
Jilani T, University of Nottingham, School of Computer Science
Long Y, University of Essex, School of Computer Science and Electronic Engineering
Andrews J, University of Nottingham, Mindtech Medtech Co-operative
Rawsthorne M, Hilltop Digital Lab Ltd
Manolescu C, Nottinghamshire Healthcare NHS Foundation Trust, Specialist Services
Clos J, University of Nottingham, School of Computer Science
Higton F, University of Nottingham, Institute of Mental Health
Waldram D, University of Nottingham, Institute of Mental Health
Hunt D, University of Nottingham, School of English
Perez Vallejos E, University of Nottingham, Nottingham Biomedical Research Centre Mental Health and Technology Theme
Moghaddam N, University of Lincoln, School of Psychology