Bayesian Sequential Single Case Methods to Personalize Low-Intensity Psychological Interventions: Initial Pilot Work

Using Bayesian Sequential Single Case Methodology to Personalize Low-Intensity Psychological Interventions for Depression: Initial Pilot Work

The study is an initial investigation of the feasibility of applying Bayesian sequential analyses to individual participant single-case data for rapid detection of whether or not the individual is benefitting from a low-intensity computerized cognitive training intervention for depression. Patients waiting for, or in follow-up from, outpatient psychological therapy will complete first a two-week period of daily symptom monitoring, followed by two different two-week cognitive training interventions. Data collected will be used to assess feasibility of a future formal case series using Bayesian sequential analyses to determine switching of interventions, and inform the analysis parameters for such a future study.

Inclusion Criteria:

• Patient registered at the Ruhr University of Bochum Outpatient Psychotherapy Center ("Zentrum für Psychotherapie", ZPT) in an appropriate phase of treatment (on waiting list/ in follow-up), or from 26/10/22 having had a first consultation ("Beratungsgespräch")
• Aged 18 years or above
• Owning a technical device (e.g. a laptop, computer) that is compatible with the computerized training
• Scoring ≥ 6 on the QIDS (indicating at least mild levels of depressive symptoms)
• Willing and able to complete all study procedures

Exclusion Criteria:

• Existence of a condition or circumstances that would interfere with completion of the study procedures (e.g. severe visual impairment, neurological problem, acute psychosis, or substance withdrawal symptoms)
• Acute crisis with high levels of suicidal ideations or high levels of self-harm, identified either through therapist's assessment or score >1 on item 12 of the QIDS