Introduction: Most studies on recovery of psychotic disorders focus on first-episode populations using premorbid and baseline data to predict recovery. However, many patients experience a long duration of illness and many factors are dynamic and change during life.
Aims: To investigate factors strongest associated with clinical, societal and personal recovery, and recovery change scores in people with a long duration of illness using current data measured at the same assessment.
Background: More knowledge on the cost-effectiveness of various depression treatment programmes can promote efficient treatment allocation and improve the quality of depression care.
Objective: This study aims to compare the real-world cost-effectiveness of an algorithm-guided programme focused on remission to a predefined duration, patient preference-centred treatment programme focused on response using routine care data.
Methods: A naturalistic study (n=6295 in the raw dataset) was used to compare the costs and outcomes of two programmes in terms of quality-adjusted life years (QALY) and depression-free days (DFD).