Granular analysis of pathways to care and durations of untreated psychosis: A marginal delay model.

Objective: An extensive international literature demonstrates that understanding pathways to care (PTC) is essential for efforts to reduce community Duration of Untreated Psychosis (DUP). However, knowledge from these studies is difficult to translate to new settings. We present a novel approach to characterize and analyze PTC and demonstrate its value for the design and implementation of early detection efforts.

Parsing the impact of early detection on duration of untreated psychosis (DUP): Applying quantile regression to data from the Scandinavian TIPS study.

Background: Prolonged duration of untreated psychosis (DUP) is associated with poor outcomes. The TIPS study halved DUP with an early detection (ED) campaign; however, conventional statistical analyses, focused on mean estimates, failed to reveal the effects of ED across the full DUP distribution, restricting inferences about ED's effectiveness. Utilizing a novel quantile regression based analysis, we examined the differential impact of ED across DUP.