Seminar Series: Jaime Delgadillo, PhD
Precision mental health care: Using data to inform therapy
Jaime Delgadillo, PhD
Senior Lecturer
Clinical Psychology
University of Sheffield, UK
Abstract:
Precision Mental Health Care is an emerging area of research that applies concepts and methods from the field of precision medicine. A general principle is to leverage population data to inform clinical decisions about diagnosis, prognosis and treatment planning. Recent studies show that precision mental health care can improve treatment outcomes for patients accessing psychological therapies for depression and anxiety. Two examples include the use of "corrective models" and "prescriptive models". Corrective models enable therapists to continuously monitor their patients' symptoms to assess how they are responding to treatment, by comparison to clinical records from other patients. These models alert therapists to cases that are not responding to therapy as expected, enabling them to identify and "correct" problems in a timely way. Prescriptive models use digital phenotyping to identify subgroups of patients that respond differentially to alternative treatment options (i.e. therapy A vs. therapy B). These models help clinicians to "prescribe" the treatment option that might be most favourable for each patient.
Short Biography:
Dr. Jaime Delgadillo is a Senior Lecturer in Clinical Psychology at the University of Sheffield. He is also Director of Psychological Therapies Research at Rotherham Doncaster and South Humber NHS Foundation Trust, where he has his clinical practice and supervises a research team dedicated to mental health. He has postgraduate qualifications in psychoanalysis and cognitive behavioural therapy, and 20 years of clinical experience. His research focuses on understanding individual differences in psychological treatment response. He has over 80 publications in scientific journals and is an associate editor of the journal Psychotherapy Research
