edoc

Predictors of Study Drop-Out and Service Disengagement in Patients at Clinical High Risk for Psychosis

Leanza, Letizia and Studerus, Erich and Mackintosh, Amatya J. and Beck, Katharina and Seiler, Leonie and Andreou, Christina and Riecher-Rössler, Anita. (2020) Predictors of Study Drop-Out and Service Disengagement in Patients at Clinical High Risk for Psychosis. Social psychiatry and psychiatric epidemiology, 55 (5). pp. 539-548.

Full text not available from this repository.

Official URL: https://edoc.unibas.ch/72423/

Downloads: Statistics Overview

Abstract

Study drop-out during follow-up and service disengagement frequently occur in patients at clinical high risk for psychosis (CHR-P). However, little is known about their predictors. Therefore, we aimed to analyze the rate and reasons for drop-out and service disengagement in CHR-P patients and investigate their sociodemographic and clinical predictors.; Data from 200 patients of the prospective Früherkennung von Psychosen (FePsy) study were analyzed with competing risks survival models, considering drop-out and transition to psychosis as competing events. To investigate whether symptoms changed immediately before drop-out, t tests were applied.; Thirty-six percent of patients dropped out within 5 years. Almost all drop-outs also disengaged from our service. Hence, study drop-out was used as a proxy for service disengagement. Patients with more severe baseline disorganized symptoms and a late inclusion into the study were significantly more likely to disengage. Immediately before disengagement, there was significant improvement in negative symptoms only.; A considerable proportion of CHR-P patients disengaged from our clinical study and service. Patients who were included during a later study period with more assessments disengaged more often, which might have been due to more frequent invitations to follow-up assessments and thereby increasing participation burden. Hence, our study provides a cautionary note on high-frequency follow-up assessments. Larger-scale studies evaluating predictors on multiple domains would help to further elucidate drop-out and disengagement.
Faculties and Departments:03 Faculty of Medicine > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Erwachsenenpsychiatrie (Riecher-Rössler)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Erwachsenenpsychiatrie (Riecher-Rössler)
07 Faculty of Psychology
UniBasel Contributors:Studerus, Erich and Andreou, Christina and Brändli-Leanza, Letizia
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Springer
ISSN:0933-7954
e-ISSN:1433-9285
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:30 Mar 2021 08:53
Deposited On:10 Jul 2020 12:55

Repository Staff Only: item control page